Ready for a challenge? Then Just Eat might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role Please note that this role is located either in London (UK), Amsterdam (NL) or Enschede (NL), based on your location. Our hybrid policy is 3 days a week at the office and 2 days working from home. Are you a passionate and enthusiastic Data Engineer eager to kickstart your career in a fast-paced, global food delivery platform? Do you have a knack for problem-solving and a desire to learn how to build robust data solutions? If so, Just Eat is looking for a talented Junior Data Engineer to join our dynamic Customer & Partner Care Product Analytics team in London (or Amsterdam or Enschede)! As a Junior Data Engineer, you'll play a supporting role in designing, building, and maintaining our data infrastructure to support partner data sharing. You'll work alongside experienced Data Engineers, collaborating with Sales, Product, Analysts, and other Engineering teams to learn how to ensure the seamless flow and accessibility of high-quality data across the organisation. This is an exciting opportunity to grow your data engineering skills and contribute to a data-driven culture within a company that serves millions of customers worldwide. These are some of the key ingredients to the role: Assist in the design, construction, and maintenance of a self-serve data visualization platform and support the development of scalable data pipelines. Contribute to the optimization of data models and schemas and help implement data quality checks and monitoring systems. Collaborate with Sales and Analysts to understand their requirements and assist in providing them with necessary data. Work with engineering teams under senior guidance to help integrate new data sources. Assist in troubleshooting data-related issues and contribute to the documentation of data processes and standards. Learn about data compliance by working with Infosec and DPO teams and stay updated on new data engineering technologies. Actively participate in code reviews and contribute to the team's continuous improvement efforts. What will you bring to the table? Comfortable with data visualisation tools (e.g., Looker, ThoughtSpot, Tableau) Excellent SQL skills and a basic understanding of querying and manipulating datasets. Basic understanding of data warehousing concepts, ETL/ELT processes, and database technologies. Exposure to cloud platforms such as GCP, AWS, or Azure through coursework or personal projects. A logical approach to problem-solving and a keen attention to detail. Strong communication and collaboration skills, with the ability to learn how to communicate technical concepts to both technical and non-technical audiences. A proactive and self-motivated approach with a passion for data and technology, and a willingness to learn. Nice, but not mandatory plus would be: Knowledge of at least one programming language (e.g., Python, Bash). Knowledge of data governance concepts. Experience with Agile development methodologies. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else are we delivering? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Jul 01, 2025
Full time
Ready for a challenge? Then Just Eat might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role Please note that this role is located either in London (UK), Amsterdam (NL) or Enschede (NL), based on your location. Our hybrid policy is 3 days a week at the office and 2 days working from home. Are you a passionate and enthusiastic Data Engineer eager to kickstart your career in a fast-paced, global food delivery platform? Do you have a knack for problem-solving and a desire to learn how to build robust data solutions? If so, Just Eat is looking for a talented Junior Data Engineer to join our dynamic Customer & Partner Care Product Analytics team in London (or Amsterdam or Enschede)! As a Junior Data Engineer, you'll play a supporting role in designing, building, and maintaining our data infrastructure to support partner data sharing. You'll work alongside experienced Data Engineers, collaborating with Sales, Product, Analysts, and other Engineering teams to learn how to ensure the seamless flow and accessibility of high-quality data across the organisation. This is an exciting opportunity to grow your data engineering skills and contribute to a data-driven culture within a company that serves millions of customers worldwide. These are some of the key ingredients to the role: Assist in the design, construction, and maintenance of a self-serve data visualization platform and support the development of scalable data pipelines. Contribute to the optimization of data models and schemas and help implement data quality checks and monitoring systems. Collaborate with Sales and Analysts to understand their requirements and assist in providing them with necessary data. Work with engineering teams under senior guidance to help integrate new data sources. Assist in troubleshooting data-related issues and contribute to the documentation of data processes and standards. Learn about data compliance by working with Infosec and DPO teams and stay updated on new data engineering technologies. Actively participate in code reviews and contribute to the team's continuous improvement efforts. What will you bring to the table? Comfortable with data visualisation tools (e.g., Looker, ThoughtSpot, Tableau) Excellent SQL skills and a basic understanding of querying and manipulating datasets. Basic understanding of data warehousing concepts, ETL/ELT processes, and database technologies. Exposure to cloud platforms such as GCP, AWS, or Azure through coursework or personal projects. A logical approach to problem-solving and a keen attention to detail. Strong communication and collaboration skills, with the ability to learn how to communicate technical concepts to both technical and non-technical audiences. A proactive and self-motivated approach with a passion for data and technology, and a willingness to learn. Nice, but not mandatory plus would be: Knowledge of at least one programming language (e.g., Python, Bash). Knowledge of data governance concepts. Experience with Agile development methodologies. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else are we delivering? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Full Stack Developer - Customer Experience Engineering at Judge.me Closing the Trust Gap in E-commerce Location: Remote with hybrid option (2 days in Shoreditch office near Old Street) Salary: £60-90k dependent upon the value the successful candidate brings! Our Mission: Fixing Trust in Commerce For a decade, we've been on a mission to close the Trust Gap-commerce's most expensive problem. In a world where distance and digital interfaces separate buyers and sellers, we're building the definitive trust infrastructure that enables global trade to flourish. We recognise that trust is not binary but a spectrum, and our work continually expands the boundaries of commerce itself. Each improvement we make enables transactions that previously wouldn't have happened, revealing new frontiers where trust can be further enhanced. Our Impact Today We've grown from an idea into the dominant force for trust in e-commerce: Shopify's Review Solution : We've earned over 42k five-star reviews from merchants who rely on us daily Global Scale : More than 500k shops across 140+ countries use our platform Massive Reach : We process over 70 million orders monthly, generating 2 million+ verified buyer reviews Organic Growth : We've achieved 40% year-over-year growth purely through word of mouth-no paid marketing or sales teams needed The Opportunity We're seeking a Full Stack Developer to build and maintain critical internal systems that power exceptional customer experiences at scale. You'll architect and develop sophisticated tools, integrations, and AI-powered solutions that directly impact our position as the app in the Shopify ecosystem. This role sits at the exciting intersection of engineering and customer experience, where your code directly influences our app store reviews - our primary growth driver. You'll work closely with our Head of Customer Support to build next-generation systems that enable our team to deliver world-class support efficiently and effectively. What Makes This Role Special High-Impact Development : Every system you build directly affects customer satisfaction and business growth. Your technical solutions will be measured by real business outcomes. Cutting-Edge AI Integration : Work at the forefront of AI implementation, optimizing and enhancing Intercom's Fin AI to achieve industry-leading automation rates while maintaining quality. Scalable Architecture : Build systems designed to scale without proportional resource increases - the ultimate engineering challenge of doing more with less. Full Ownership : Take end-to-end ownership of internal platforms, from conception through deployment and ongoing optimization. Core Responsibilities Technical Integration & Platform Development Design and implement robust API integrations between Intercom, internal systems, and third-party platforms Build and maintain our internal web-based admin tools and dashboards Develop scalable, maintainable full-stack applications that support our growing customer base Create custom solutions that enhance operational efficiency across the organization Implement comprehensive logging, monitoring, and alerting systems Ensure 99.9% uptime for all critical customer-facing integrations AI & Automation Engineering Optimize and enhance Intercom's Fin AI implementation to achieve 60-65% automated resolution rates Build automation frameworks that streamline complex workflows Research, prototype, and implement emerging technologies that enhance customer experience Develop intelligent routing and escalation systems Create A/B testing frameworks for automation initiatives Backend Development & Analytics Build backend systems that capture and process customer interaction data Develop dashboards and reporting tools that measure system performance and effectiveness Create analytics features that help identify patterns and opportunities for improvement Build data visualization components that make insights accessible to business stakeholders Design and maintain database schemas that support efficient querying and reporting Cross-Functional Engineering Collaboration Reporting directly to the Head of Customer Support to translate business requirements into technical solutions Collaborate with the wider engineering team to ensure integrations follow best practices and architectural standards Partner with Product teams to incorporate customer insights into product development cycles Key Success Metrics System Performance : Maintain 99.9% uptime for all customer-facing systems and integrations Automation Efficiency : Deliver measurable time savings through technical solutions and process automation Resolution Impact : Technical contribution to reducing customer issue resolution time What You'll Bring Essential Requirements Full-stack development experience with proven ability to ship production applications Strong API development expertise including REST, GraphQL, and third-party integrations Proficiency in JavaScript, HTML, and CSS with modern framework experience Database design and implementation experience (SQL and NoSQL) Experience building and deploying scalable web applications in production environments Understanding of RESTful API design principles and microservices architecture Strong analytical and problem-solving abilities with attention to system performance Excellent communication skills with both technical and business stakeholders Preferred Experience Ruby on Rails proficiency (our primary backend framework) Intercom platform and API experience or similar customer communication platforms AI/ML technologies knowledge and practical implementation experience Jira, support tools, and workflow automation experience Shopify ecosystem and API familiarity (we're deeply integrated with Shopify) E-commerce or SaaS environment background with understanding of customer support operations Data visualization and analytics tools experience Distributed systems and cloud architecture experience Please don't hesitate to apply if you miss a few criteria but you believe you can make a strong impact. Our Culture: Results-Driven Excellence We reward exceptional performance and are building a team that consistently pushes for better results. Success here means finding innovative ways to achieve more with our existing resources. We value time above all else-it's our scarcest resource. We budget time more strictly than money, establishing short feedback loops and breaking initiatives into their smallest units of value. Our international team brings diverse perspectives to every challenge. We believe in lifting each other up through active knowledge sharing because our collective strength determines our success. We combine ambitious goals with pragmatic execution, creating sustainable high performance through better processes, not longer hours. Your Package The Essentials £60-90k DOE + Monthly Business Performance Bonus 30 days holiday + bank holidays Private health insurance (Vitality) Brand new Macbook, access to equipment as required Financial Wellbeing + Salary Sacrifice Pension via Mintago Flexible Working Hybrid setup: 2 office days (Tues/Thurs), 3 remote Modern Shoreditch office near Old Street No overtime culture Casual dress code Work from Anywhere (4 weeks per year) Team Life Weekly team meals Quarterly events Perks at Work Account Join Us in Building the Future of Trust in Commerce Work on problems that impact millions while growing with a team that values both excellence and balance. Together, we'll close the Trust Gap and unlock new possibilities for global commerce.
Jul 01, 2025
Full time
Full Stack Developer - Customer Experience Engineering at Judge.me Closing the Trust Gap in E-commerce Location: Remote with hybrid option (2 days in Shoreditch office near Old Street) Salary: £60-90k dependent upon the value the successful candidate brings! Our Mission: Fixing Trust in Commerce For a decade, we've been on a mission to close the Trust Gap-commerce's most expensive problem. In a world where distance and digital interfaces separate buyers and sellers, we're building the definitive trust infrastructure that enables global trade to flourish. We recognise that trust is not binary but a spectrum, and our work continually expands the boundaries of commerce itself. Each improvement we make enables transactions that previously wouldn't have happened, revealing new frontiers where trust can be further enhanced. Our Impact Today We've grown from an idea into the dominant force for trust in e-commerce: Shopify's Review Solution : We've earned over 42k five-star reviews from merchants who rely on us daily Global Scale : More than 500k shops across 140+ countries use our platform Massive Reach : We process over 70 million orders monthly, generating 2 million+ verified buyer reviews Organic Growth : We've achieved 40% year-over-year growth purely through word of mouth-no paid marketing or sales teams needed The Opportunity We're seeking a Full Stack Developer to build and maintain critical internal systems that power exceptional customer experiences at scale. You'll architect and develop sophisticated tools, integrations, and AI-powered solutions that directly impact our position as the app in the Shopify ecosystem. This role sits at the exciting intersection of engineering and customer experience, where your code directly influences our app store reviews - our primary growth driver. You'll work closely with our Head of Customer Support to build next-generation systems that enable our team to deliver world-class support efficiently and effectively. What Makes This Role Special High-Impact Development : Every system you build directly affects customer satisfaction and business growth. Your technical solutions will be measured by real business outcomes. Cutting-Edge AI Integration : Work at the forefront of AI implementation, optimizing and enhancing Intercom's Fin AI to achieve industry-leading automation rates while maintaining quality. Scalable Architecture : Build systems designed to scale without proportional resource increases - the ultimate engineering challenge of doing more with less. Full Ownership : Take end-to-end ownership of internal platforms, from conception through deployment and ongoing optimization. Core Responsibilities Technical Integration & Platform Development Design and implement robust API integrations between Intercom, internal systems, and third-party platforms Build and maintain our internal web-based admin tools and dashboards Develop scalable, maintainable full-stack applications that support our growing customer base Create custom solutions that enhance operational efficiency across the organization Implement comprehensive logging, monitoring, and alerting systems Ensure 99.9% uptime for all critical customer-facing integrations AI & Automation Engineering Optimize and enhance Intercom's Fin AI implementation to achieve 60-65% automated resolution rates Build automation frameworks that streamline complex workflows Research, prototype, and implement emerging technologies that enhance customer experience Develop intelligent routing and escalation systems Create A/B testing frameworks for automation initiatives Backend Development & Analytics Build backend systems that capture and process customer interaction data Develop dashboards and reporting tools that measure system performance and effectiveness Create analytics features that help identify patterns and opportunities for improvement Build data visualization components that make insights accessible to business stakeholders Design and maintain database schemas that support efficient querying and reporting Cross-Functional Engineering Collaboration Reporting directly to the Head of Customer Support to translate business requirements into technical solutions Collaborate with the wider engineering team to ensure integrations follow best practices and architectural standards Partner with Product teams to incorporate customer insights into product development cycles Key Success Metrics System Performance : Maintain 99.9% uptime for all customer-facing systems and integrations Automation Efficiency : Deliver measurable time savings through technical solutions and process automation Resolution Impact : Technical contribution to reducing customer issue resolution time What You'll Bring Essential Requirements Full-stack development experience with proven ability to ship production applications Strong API development expertise including REST, GraphQL, and third-party integrations Proficiency in JavaScript, HTML, and CSS with modern framework experience Database design and implementation experience (SQL and NoSQL) Experience building and deploying scalable web applications in production environments Understanding of RESTful API design principles and microservices architecture Strong analytical and problem-solving abilities with attention to system performance Excellent communication skills with both technical and business stakeholders Preferred Experience Ruby on Rails proficiency (our primary backend framework) Intercom platform and API experience or similar customer communication platforms AI/ML technologies knowledge and practical implementation experience Jira, support tools, and workflow automation experience Shopify ecosystem and API familiarity (we're deeply integrated with Shopify) E-commerce or SaaS environment background with understanding of customer support operations Data visualization and analytics tools experience Distributed systems and cloud architecture experience Please don't hesitate to apply if you miss a few criteria but you believe you can make a strong impact. Our Culture: Results-Driven Excellence We reward exceptional performance and are building a team that consistently pushes for better results. Success here means finding innovative ways to achieve more with our existing resources. We value time above all else-it's our scarcest resource. We budget time more strictly than money, establishing short feedback loops and breaking initiatives into their smallest units of value. Our international team brings diverse perspectives to every challenge. We believe in lifting each other up through active knowledge sharing because our collective strength determines our success. We combine ambitious goals with pragmatic execution, creating sustainable high performance through better processes, not longer hours. Your Package The Essentials £60-90k DOE + Monthly Business Performance Bonus 30 days holiday + bank holidays Private health insurance (Vitality) Brand new Macbook, access to equipment as required Financial Wellbeing + Salary Sacrifice Pension via Mintago Flexible Working Hybrid setup: 2 office days (Tues/Thurs), 3 remote Modern Shoreditch office near Old Street No overtime culture Casual dress code Work from Anywhere (4 weeks per year) Team Life Weekly team meals Quarterly events Perks at Work Account Join Us in Building the Future of Trust in Commerce Work on problems that impact millions while growing with a team that values both excellence and balance. Together, we'll close the Trust Gap and unlock new possibilities for global commerce.
Sr Manager, Business Intelligence Engineering, Global Fleet & Products Analytics Have you ever ordered a product on Amazon and wondered how that package got to you so fast? Have you ever wondered where it came from and what series of events helped make that delivery possible? If so, the Global Fleet and Products Analytics (GFPA) team might be for you! We provide the data insights that help manage our fleet of tens of thousands of delivery vans and trucks - one of the largest and most admired parcel carriers in the world. And as part of Amazon's Climate Pledge, we're helping lead the "charge" to build the world's largest fleet of electric delivery vans. We're looking for a customer-obsessed Senior Manager of Business Intelligence Engineering (BIE) to lead our EU team. As a critical leader on the GFPA team, you'll manage a local team of tech pros (mainly BIEs) supporting our internal EU/UK customers, with support from our Global (NA-based) team of Data Engineers, BIEs, and product/program managers. You'll develop and lead new technical solutions and influence business-critical decisions across multiple organizations and geographies. To be successful in this role, you'll need to be an excellent developer of tech talent, a committed relationship manager with customers, a diligent prioritizer, a top-notch communicator (written and verbal), and a creative problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytic engineering to drive changes across multiple organizations. This role is located out of Luxembourg. Team members may be located in Luxembourg or London. Key job responsibilities In this position you will: - Consult with customers and help understand their requirements and priorities - Lead your local team, and partner with the WW GFPA team and other tech teams to engineer analytic products to meet customer needs - Lead a Data/Analytics Monthly Business Review (MBR) - Track performance metrics for your team - Communicate with and support various internal stakeholders and external audiences - Work with AWS products including Redshift, Airflow, QuickSight, Lambda, and GenAI products like AWS Bedrock A day in the life Our team's customers are internal Amazon teams responsible for managing Amazon's Last Mile global fleet, starting from procurement of assets, managing their ongoing safe and efficient operation, and through the asset's end of life. The Senior Manager works to understand customer needs across the countries in which we operate to drive project schedules from design to release, and influences multiple large, high visibility programs to deliver the products our customers need to get their jobs done. About the team Here at Global Fleet and Products (GFP), we are building the safest, most efficient, and most sustainable fleet in the world. GFP Analytics is a growing and dynamic team dedicated to the curation, governance, and analytics/reporting of data about our worldwide fleet of delivery vehicles, especially data related to managing the supply chain and ongoing operation of the fleet. We have two sub-teams, Data/Infra and BI/Analytics, comprised of a diverse set of product/program managers, data engineers, business analysts, and business intelligence engineers. We are also working to keep GFP on the forefront of GenAI and AgenticAI technologies. We love data and helping our customers drive the GFP mission! BASIC QUALIFICATIONS - Knowledge of SQL and Excel - Experience hiring and leading a high-performance team - Experience managing a data or BI team - Experience in the data/BI space PREFERRED QUALIFICATIONS - Knowledge of product experimentation (A/B testing) - Knowledge of a scripting language (Python, R, etc.) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: May 23, 2025 (Updated 3 days ago) Posted: April 11, 2025 (Updated 3 days ago) Posted: June 26, 2025 (Updated 4 days ago) Posted: June 26, 2025 (Updated 4 days ago) Posted: June 2, 2025 (Updated 4 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
Jul 01, 2025
Full time
Sr Manager, Business Intelligence Engineering, Global Fleet & Products Analytics Have you ever ordered a product on Amazon and wondered how that package got to you so fast? Have you ever wondered where it came from and what series of events helped make that delivery possible? If so, the Global Fleet and Products Analytics (GFPA) team might be for you! We provide the data insights that help manage our fleet of tens of thousands of delivery vans and trucks - one of the largest and most admired parcel carriers in the world. And as part of Amazon's Climate Pledge, we're helping lead the "charge" to build the world's largest fleet of electric delivery vans. We're looking for a customer-obsessed Senior Manager of Business Intelligence Engineering (BIE) to lead our EU team. As a critical leader on the GFPA team, you'll manage a local team of tech pros (mainly BIEs) supporting our internal EU/UK customers, with support from our Global (NA-based) team of Data Engineers, BIEs, and product/program managers. You'll develop and lead new technical solutions and influence business-critical decisions across multiple organizations and geographies. To be successful in this role, you'll need to be an excellent developer of tech talent, a committed relationship manager with customers, a diligent prioritizer, a top-notch communicator (written and verbal), and a creative problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytic engineering to drive changes across multiple organizations. This role is located out of Luxembourg. Team members may be located in Luxembourg or London. Key job responsibilities In this position you will: - Consult with customers and help understand their requirements and priorities - Lead your local team, and partner with the WW GFPA team and other tech teams to engineer analytic products to meet customer needs - Lead a Data/Analytics Monthly Business Review (MBR) - Track performance metrics for your team - Communicate with and support various internal stakeholders and external audiences - Work with AWS products including Redshift, Airflow, QuickSight, Lambda, and GenAI products like AWS Bedrock A day in the life Our team's customers are internal Amazon teams responsible for managing Amazon's Last Mile global fleet, starting from procurement of assets, managing their ongoing safe and efficient operation, and through the asset's end of life. The Senior Manager works to understand customer needs across the countries in which we operate to drive project schedules from design to release, and influences multiple large, high visibility programs to deliver the products our customers need to get their jobs done. About the team Here at Global Fleet and Products (GFP), we are building the safest, most efficient, and most sustainable fleet in the world. GFP Analytics is a growing and dynamic team dedicated to the curation, governance, and analytics/reporting of data about our worldwide fleet of delivery vehicles, especially data related to managing the supply chain and ongoing operation of the fleet. We have two sub-teams, Data/Infra and BI/Analytics, comprised of a diverse set of product/program managers, data engineers, business analysts, and business intelligence engineers. We are also working to keep GFP on the forefront of GenAI and AgenticAI technologies. We love data and helping our customers drive the GFP mission! BASIC QUALIFICATIONS - Knowledge of SQL and Excel - Experience hiring and leading a high-performance team - Experience managing a data or BI team - Experience in the data/BI space PREFERRED QUALIFICATIONS - Knowledge of product experimentation (A/B testing) - Knowledge of a scripting language (Python, R, etc.) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: May 23, 2025 (Updated 3 days ago) Posted: April 11, 2025 (Updated 3 days ago) Posted: June 26, 2025 (Updated 4 days ago) Posted: June 26, 2025 (Updated 4 days ago) Posted: June 2, 2025 (Updated 4 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
Business Intelligence Engineer - 12 month FTC, Fleet planning & Capacity 12 Month, Fixed Term Contract Have you ever ordered a product on Amazon and wondered how that package got to you so fast? Have you ever wondered where it came from and what series of events helped make that delivery possible? If so, the EU - Global Fleet and Products (GFP) - Fleet planning and Capacity team (FPAC) is for you! Behind every Amazon delivery is a complex network of planning and execution. As part of the European Global Fleet and Products (GFP) - Fleet Planning and Capacity team (FPAC), you'll help optimize this journey We work with large amounts of novel data and provide insights that help deliver billions of packages to customers every year. We focus on everything from high-level to granular data and insight generation, primarily supporting the Fleet planning teams automation and operational excellence projects / data asset development. The GFP Fleet planning and Capacity team is looking for a customer obsessed Business Intelligence Engineer (BIE) to shape how we use data to develop high efficiency Fleet planning tools, in the Last Mile space. As a BIE on the FPAC team, you will develop and lead new technical solutions that supports critical process improvement automations. To be successful in this role, you'll need to be a diligent time/project manager, strong communicator, and problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytic engineering to drive changes across multiple organizations. This role is located out of Luxembourg. In this position you will: - Engineer critical input and output metrics - Create performance metrics to measure operational performance, identify root causes and trends, and prescribe action plans for delivery stations around the globe - Manage metrics across multiple projects simultaneously - Work with product, technology, and analytics teams to support the development of tools and dashboards - Communicate with and support various internal stakeholders and external audiences - Learn, explore, apply, and gain expertise in many internal Amazon data and public AWS products including Glue, Redshift, Quicksight, and Lambda BASIC QUALIFICATIONS - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with SQL - Experience in the data/BI space PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: May 23, 2025 (Updated 3 days ago) Posted: April 11, 2025 (Updated 3 days ago) Posted: June 26, 2025 (Updated 4 days ago) Posted: June 26, 2025 (Updated 4 days ago) Posted: June 2, 2025 (Updated 4 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 01, 2025
Full time
Business Intelligence Engineer - 12 month FTC, Fleet planning & Capacity 12 Month, Fixed Term Contract Have you ever ordered a product on Amazon and wondered how that package got to you so fast? Have you ever wondered where it came from and what series of events helped make that delivery possible? If so, the EU - Global Fleet and Products (GFP) - Fleet planning and Capacity team (FPAC) is for you! Behind every Amazon delivery is a complex network of planning and execution. As part of the European Global Fleet and Products (GFP) - Fleet Planning and Capacity team (FPAC), you'll help optimize this journey We work with large amounts of novel data and provide insights that help deliver billions of packages to customers every year. We focus on everything from high-level to granular data and insight generation, primarily supporting the Fleet planning teams automation and operational excellence projects / data asset development. The GFP Fleet planning and Capacity team is looking for a customer obsessed Business Intelligence Engineer (BIE) to shape how we use data to develop high efficiency Fleet planning tools, in the Last Mile space. As a BIE on the FPAC team, you will develop and lead new technical solutions that supports critical process improvement automations. To be successful in this role, you'll need to be a diligent time/project manager, strong communicator, and problem solver extraordinaire. You'll work on large, complex initiatives with a high degree of ambiguity, and you'll also advocate on behalf of customers. Great candidates will use data and analytic engineering to drive changes across multiple organizations. This role is located out of Luxembourg. In this position you will: - Engineer critical input and output metrics - Create performance metrics to measure operational performance, identify root causes and trends, and prescribe action plans for delivery stations around the globe - Manage metrics across multiple projects simultaneously - Work with product, technology, and analytics teams to support the development of tools and dashboards - Communicate with and support various internal stakeholders and external audiences - Learn, explore, apply, and gain expertise in many internal Amazon data and public AWS products including Glue, Redshift, Quicksight, and Lambda BASIC QUALIFICATIONS - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with SQL - Experience in the data/BI space PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: May 23, 2025 (Updated 3 days ago) Posted: April 11, 2025 (Updated 3 days ago) Posted: June 26, 2025 (Updated 4 days ago) Posted: June 26, 2025 (Updated 4 days ago) Posted: June 2, 2025 (Updated 4 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Retail Business Services (RBS) supports Amazon's Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and, comprehensive enough to give Amazon customers a great shopping experience every time. That's where you can help. We believe in "Work Hard. Have Fun. Make History" value by having a focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. We challenge one another every day and hold ourselves accountable for our work product as well as our customer's overall success. We all enjoy the interactions with the customers, problem solving, digging into complex issues. We wake up every morning asking ourselves how we can improve the customer's experience, the quality of our product, the quality of our support system, or our individual weaknesses. We are not scared of challenges, nor do we back down or get deterred by tough problems. When problems seem the hardest we are at our best, we work harder to find the root cause and a solution. Work/Life Balance RBS Tech team puts a high value on work-life harmony. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and we encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring, detailed and constructive code reviews. We have casual coffee chats with Principal & Senior Engineers from RBS tech where you could have technical conversations around your work, technical challenges, suggestions, ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Business Analyst(BA) with a diverse skillset and background. As a BA, you will work directly with our business stakeholders to understand their processes, gather and document requirements, and identify solutions to address their needs. Using data analytics technologies and best practices, you will play a key part in translating business requirements into functional specifications and collaborating with technical teams to build scalable systems. You will be responsible for uncovering root causes, trends, and patterns that impact the business, leveraging dashboards and visualizations to provide insights. You will thrive in an agile, fast-paced environment, tackling unstructured and ambiguous problems on highly visible projects and initiatives. You will work with teams to understand key business problems/process to create BRD and build reports that enable product owners to answer those questions quickly and accurately. You will work with cross-functional leaders to understand their process and data needs and partner with them to build data solutions. About the team Retail Business Services (RBS) supports Amazon's Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. BASIC QUALIFICATIONS 4+ years of tax, finance or a related analytical field experience 3+ years of business or financial analysis experience Experience making business recommendations and influencing stakeholders Experience on defining requirements, creating business requirement document, understanding business process and using data and metrics to draw business insights Proficiency in SQL, ETL management, Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualisation tools such as Tableau experience PREFERRED QUALIFICATIONS MBA or Master's degree in Computer Science, Engineering, Statistics, Mathematics or related field Extensive experience in a data engineer or BIE role with a technology company. Experience with statistical modelling / machine learning. Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Ability to work in a fast-paced environment where continuous innovation is desired. History of teamwork and willingness to roll up one's sleeves to get the job done. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Jul 01, 2025
Full time
Retail Business Services (RBS) supports Amazon's Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and, comprehensive enough to give Amazon customers a great shopping experience every time. That's where you can help. We believe in "Work Hard. Have Fun. Make History" value by having a focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. We challenge one another every day and hold ourselves accountable for our work product as well as our customer's overall success. We all enjoy the interactions with the customers, problem solving, digging into complex issues. We wake up every morning asking ourselves how we can improve the customer's experience, the quality of our product, the quality of our support system, or our individual weaknesses. We are not scared of challenges, nor do we back down or get deterred by tough problems. When problems seem the hardest we are at our best, we work harder to find the root cause and a solution. Work/Life Balance RBS Tech team puts a high value on work-life harmony. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and we encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring, detailed and constructive code reviews. We have casual coffee chats with Principal & Senior Engineers from RBS tech where you could have technical conversations around your work, technical challenges, suggestions, ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Business Analyst(BA) with a diverse skillset and background. As a BA, you will work directly with our business stakeholders to understand their processes, gather and document requirements, and identify solutions to address their needs. Using data analytics technologies and best practices, you will play a key part in translating business requirements into functional specifications and collaborating with technical teams to build scalable systems. You will be responsible for uncovering root causes, trends, and patterns that impact the business, leveraging dashboards and visualizations to provide insights. You will thrive in an agile, fast-paced environment, tackling unstructured and ambiguous problems on highly visible projects and initiatives. You will work with teams to understand key business problems/process to create BRD and build reports that enable product owners to answer those questions quickly and accurately. You will work with cross-functional leaders to understand their process and data needs and partner with them to build data solutions. About the team Retail Business Services (RBS) supports Amazon's Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. BASIC QUALIFICATIONS 4+ years of tax, finance or a related analytical field experience 3+ years of business or financial analysis experience Experience making business recommendations and influencing stakeholders Experience on defining requirements, creating business requirement document, understanding business process and using data and metrics to draw business insights Proficiency in SQL, ETL management, Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualisation tools such as Tableau experience PREFERRED QUALIFICATIONS MBA or Master's degree in Computer Science, Engineering, Statistics, Mathematics or related field Extensive experience in a data engineer or BIE role with a technology company. Experience with statistical modelling / machine learning. Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Ability to work in a fast-paced environment where continuous innovation is desired. History of teamwork and willingness to roll up one's sleeves to get the job done. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit here for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
About Notabene Notabene is on a mission to make crypto a part of the everyday economy. Leading crypto organizations use our tools to reduce transaction risk and make crypto transfers safe. Working across three continents in eight countries, the Notabene team serves our fantastic community of 100+ customers, including financial institutions, fintechs, exchanges, and more. Our co-founders spearheaded foundational Self Sovereign Identity protocols and use-cases. This technology is key to the internals of our cutting edge tech stack. We're proud to have the support of leading investors, including Y Combinator, Jump Capital, Castle Island, Green Visor Capital, and more. We're at an exhilarating moment in our journey, as regulation technologies (reg-techs) are fast becoming recognized as a vital enabler of the crypto ecosystem. Notabene is growing fast-and we're looking for people like you to help shape the future rails of the crypto industry! About The Role As a Lead Data Engineer at Notabene , you'll play a pivotal role in shaping how crypto transactions are settled globally. You'll collaborate with stakeholders across all levels of the business, turning their BI requirements into accessible, accurate, real-time reporting. You will maintain and continuously improve Notabene's org-wide data management and analytics. In this role, you'll be responsible for building and maintaining our data pipelines, scaling our data warehouse architecture, and ensuring data insights are optimized and scalable across the organization. You'll also be instrumental in driving forward a data-driven culture at Notabene and training / upskilling power-users across the organization. You'll be working closely with key stakeholders across the business to understand their BI / reporting needs and will enable providing insights to inform strategic decisions both at the Board / Executive level and at the business unit level. Key Responsibilities Design, develop, and maintain scalable ETL pipelines using technologies like dbt, Airbyte, Cube, DuckDB, Redshift, and Superset Work closely with stakeholders across the company to gather data requirements and setup dashboards Promote a data driven culture at Notabene and train, upskill power-users across the organization Ensure data governance and security practices are in place, especially around high-security PII data Monitor, optimize, and troubleshoot data infrastructure and pipelines to ensure performance and scalability Must Haves 8+ years working in data engineering with large sets of data. Ex: millions of students, transactions. Proven experience in building and maintaining ETL pipelines and data infrastructure Strong experience working with dbt core/cloud Business savvy and capable of interfacing with finance, revenue and ops leaders to build our business intelligence Expertise in data governance, best practices, and data security, especially related to PII Proficiency in SQL and Python and with experience working in AWS Strong problem-solving skills, attention to detail, and the ability to work independently in a global, remote-first company Proficient self-starter and comfortable working with ambiguity Excellent communication skills, with the ability to collaborate across teams and departments Nice to Haves Experience in the crypto or fintech space is a huge plus. Ability to navigate ambiguity in a growth-stage environment. If you strongly believe this role is for you, please apply. Notabene considers a broad array of candidates, including those without blockchain experience. Whether you're returning to work after a gap in employment, or taking the next step in your career path, we will be glad to have you on our radar. Notabene is proud to be an equal employment workplace and an affirmative action employer. By valuing inclusion and diversity of all forms, we strictly prohibit and do not discriminate based on race, color, religion, national origin, gender, gender identity, gender expression, age, ancestry, citizenship, sexual orientation, status as a protected veteran, or any other legally protected characteristic.
Jul 01, 2025
Full time
About Notabene Notabene is on a mission to make crypto a part of the everyday economy. Leading crypto organizations use our tools to reduce transaction risk and make crypto transfers safe. Working across three continents in eight countries, the Notabene team serves our fantastic community of 100+ customers, including financial institutions, fintechs, exchanges, and more. Our co-founders spearheaded foundational Self Sovereign Identity protocols and use-cases. This technology is key to the internals of our cutting edge tech stack. We're proud to have the support of leading investors, including Y Combinator, Jump Capital, Castle Island, Green Visor Capital, and more. We're at an exhilarating moment in our journey, as regulation technologies (reg-techs) are fast becoming recognized as a vital enabler of the crypto ecosystem. Notabene is growing fast-and we're looking for people like you to help shape the future rails of the crypto industry! About The Role As a Lead Data Engineer at Notabene , you'll play a pivotal role in shaping how crypto transactions are settled globally. You'll collaborate with stakeholders across all levels of the business, turning their BI requirements into accessible, accurate, real-time reporting. You will maintain and continuously improve Notabene's org-wide data management and analytics. In this role, you'll be responsible for building and maintaining our data pipelines, scaling our data warehouse architecture, and ensuring data insights are optimized and scalable across the organization. You'll also be instrumental in driving forward a data-driven culture at Notabene and training / upskilling power-users across the organization. You'll be working closely with key stakeholders across the business to understand their BI / reporting needs and will enable providing insights to inform strategic decisions both at the Board / Executive level and at the business unit level. Key Responsibilities Design, develop, and maintain scalable ETL pipelines using technologies like dbt, Airbyte, Cube, DuckDB, Redshift, and Superset Work closely with stakeholders across the company to gather data requirements and setup dashboards Promote a data driven culture at Notabene and train, upskill power-users across the organization Ensure data governance and security practices are in place, especially around high-security PII data Monitor, optimize, and troubleshoot data infrastructure and pipelines to ensure performance and scalability Must Haves 8+ years working in data engineering with large sets of data. Ex: millions of students, transactions. Proven experience in building and maintaining ETL pipelines and data infrastructure Strong experience working with dbt core/cloud Business savvy and capable of interfacing with finance, revenue and ops leaders to build our business intelligence Expertise in data governance, best practices, and data security, especially related to PII Proficiency in SQL and Python and with experience working in AWS Strong problem-solving skills, attention to detail, and the ability to work independently in a global, remote-first company Proficient self-starter and comfortable working with ambiguity Excellent communication skills, with the ability to collaborate across teams and departments Nice to Haves Experience in the crypto or fintech space is a huge plus. Ability to navigate ambiguity in a growth-stage environment. If you strongly believe this role is for you, please apply. Notabene considers a broad array of candidates, including those without blockchain experience. Whether you're returning to work after a gap in employment, or taking the next step in your career path, we will be glad to have you on our radar. Notabene is proud to be an equal employment workplace and an affirmative action employer. By valuing inclusion and diversity of all forms, we strictly prohibit and do not discriminate based on race, color, religion, national origin, gender, gender identity, gender expression, age, ancestry, citizenship, sexual orientation, status as a protected veteran, or any other legally protected characteristic.
You will need to login before you can apply for a job. Site Name: Home Worker - GBR, Home Worker - DEU (Munich), Home Worker - ESP, Home Worker - NLD, Home Worker - POL Posted Date: Jun 421498 Data Curation Developer This role focuses on the technical experience required to curate (e.g. pre-process, harmonize, wrangle and contextualise) data to produce high-quality data assets for R&D analysis. The aim is to support GSK's Disease Area Strategies and other key R&D priority areas by making data analysis-ready, enabling efficient and effective decision-making across various therapeutic areas. We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK GSK In this role you will Lead the development of business requirements for data curation through collaboration with R&D business and data platform teams. Maintain strong connections with analytical groups and R&D Data Platform teams to ensure seamless data integration and usage. Provide coaching and peer review to ensure that the team's work reflects industry best practices for data curation activities, including data privacy and anonymization standards. Deliver pre-packaged, curated (e.g. pre-process, harmonize, wrangle, contextualise and/or anonymise) datasets aligned to business requirements for analytics, which includes documenting data specification that clearly describes the required processing steps to generate analysis-ready datasets ensuring providence, lineage and privacy requirements is maintained. Integrate diverse datasets (e.g., clinical trials, real-world data, omics) into a unified format for consistent analysis. Ensure all datasets meet analysis-ready and privacy requirements by performing necessary data curation activities (e.g. pre-process, contextualise and/or anonymise). Ensure that datasets are processed to meet conditions mentioned in the approved data re-use request (e.g., remove subjects from countries that do not allow re-use). Write clean, readable code. Ensure that deliverables are appropriately quality controlled, documented, and when required, can be handed over to R&D Tech team for production pipeline implementation. Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: BSc/MSc/PhD (or equivalent) in Computer Science, Mathematics, Statistics, or related subject Proven experience of handling various modalities of scientific clinical data such as clinical trial data (including biomarkers), real world data (RWD), omics etc. Proven ability to handle and process large structured, semi-structured, and unstructured datasets efficiently Expertise to translate business needs into technical data requirements and processes. Proven ability to quantify and provide insights to business impact and value creation from data curation activities. Agile mindset with the ability to deliver prototypes quickly and iterate improvements based on stakeholder feedback Experience in Python, Databricks, Delta Lake, PySpark, Pandas, other data engineering frameworks and applying them to achieve industry standards-compliant datasets Strong communication skills and expertise to translate business needs into technical data requirements and processes Ability to quantify and provide insights to business impact and value creation from data curation activities Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Experience in R Experience with industry data standards such as CDISC(ODM: CDASH, SDTM, ADaM), HL7 FHIR, OMOP(CDM) etc. Experience with digital clinical trials protocol and Unified Study Definition Model (USDM)Experience in data modelling Closing Date for Applications - July 13th, 2025 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives.GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or . The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at Create a job alert and receive personalised job recommendations straight to your inbox.
Jul 01, 2025
Full time
You will need to login before you can apply for a job. Site Name: Home Worker - GBR, Home Worker - DEU (Munich), Home Worker - ESP, Home Worker - NLD, Home Worker - POL Posted Date: Jun 421498 Data Curation Developer This role focuses on the technical experience required to curate (e.g. pre-process, harmonize, wrangle and contextualise) data to produce high-quality data assets for R&D analysis. The aim is to support GSK's Disease Area Strategies and other key R&D priority areas by making data analysis-ready, enabling efficient and effective decision-making across various therapeutic areas. We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK GSK In this role you will Lead the development of business requirements for data curation through collaboration with R&D business and data platform teams. Maintain strong connections with analytical groups and R&D Data Platform teams to ensure seamless data integration and usage. Provide coaching and peer review to ensure that the team's work reflects industry best practices for data curation activities, including data privacy and anonymization standards. Deliver pre-packaged, curated (e.g. pre-process, harmonize, wrangle, contextualise and/or anonymise) datasets aligned to business requirements for analytics, which includes documenting data specification that clearly describes the required processing steps to generate analysis-ready datasets ensuring providence, lineage and privacy requirements is maintained. Integrate diverse datasets (e.g., clinical trials, real-world data, omics) into a unified format for consistent analysis. Ensure all datasets meet analysis-ready and privacy requirements by performing necessary data curation activities (e.g. pre-process, contextualise and/or anonymise). Ensure that datasets are processed to meet conditions mentioned in the approved data re-use request (e.g., remove subjects from countries that do not allow re-use). Write clean, readable code. Ensure that deliverables are appropriately quality controlled, documented, and when required, can be handed over to R&D Tech team for production pipeline implementation. Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: BSc/MSc/PhD (or equivalent) in Computer Science, Mathematics, Statistics, or related subject Proven experience of handling various modalities of scientific clinical data such as clinical trial data (including biomarkers), real world data (RWD), omics etc. Proven ability to handle and process large structured, semi-structured, and unstructured datasets efficiently Expertise to translate business needs into technical data requirements and processes. Proven ability to quantify and provide insights to business impact and value creation from data curation activities. Agile mindset with the ability to deliver prototypes quickly and iterate improvements based on stakeholder feedback Experience in Python, Databricks, Delta Lake, PySpark, Pandas, other data engineering frameworks and applying them to achieve industry standards-compliant datasets Strong communication skills and expertise to translate business needs into technical data requirements and processes Ability to quantify and provide insights to business impact and value creation from data curation activities Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Experience in R Experience with industry data standards such as CDISC(ODM: CDASH, SDTM, ADaM), HL7 FHIR, OMOP(CDM) etc. Experience with digital clinical trials protocol and Unified Study Definition Model (USDM)Experience in data modelling Closing Date for Applications - July 13th, 2025 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives.GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or . The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at Create a job alert and receive personalised job recommendations straight to your inbox.
About Us The Reuters Connect Platform team builds and maintains our flagship digital marketplace, Reuters Connect, where customers discover and license multimedia content from Reuters and partners, similar to Getty Images or Shutterstock but focused on news. Our team, part of Reuters News Agency engineering, develops critical applications and services for news multimedia content delivery (text, graphics, photos, audio, video) via scalable content solutions. We are a close-knit team using Agile, Scrum, Domain Driven Design, and CLEAN Architecture with technologies like TypeScript, React, Next.JS, Clojure(Script), Python, Docker, and AWS. We are seeking an experienced Front End Technical Lead to guide a Scrum team in developing web-based applications. You will serve as a technical expert and team leader, bridging business objectives with technical implementation. Your role includes defining and delivering high-impact, scalable solutions, mentoring team members, and fostering a positive engineering culture. You will work with cross-functional peers to ensure solutions align with business goals and delivery timelines, while managing risks and ensuring quality standards are met. About The Role As our Front End Technical Lead, you will: Ensure technical solutions meet business needs, remove blockers, manage risks, and communicate effectively with stakeholders. Partner with cross functional peers to turn ideas into scoped, cohesive, well-defined, well-architected solutions with predictable delivery timelines Lead technical strategy, maintain high engineering standards, and ensure system scalability and health. Mentor and build a high-performing team, fostering growth and collaboration. Guide the team in creating compelling user experiences and scalable web solutions. Provide technical guidance and conduct code reviews. Communicate technology strategy to stakeholders and lead Scrum ceremonies. Drive technical innovation and define front end architecture. Align technical solutions with business goals and ensure cohesive delivery. Manage and prioritize technical debt improvements and respond to critical issues. About You: To be our Front End Technical Lead you will likely have: Proven experience leading a software engineering team and providing technical guidance. Strong communication skills to bridge technical and non-technical stakeholders. Experience with Agile/Scrum processes and ability to operate in ambiguity. Passion for learning and professional growth. Nice to Have Full stack development, Domain Driven Design, Functional programming, Automated testing, Behavioral analytics, Microfrontends, Monorepos, Clojure(Script), GraphQL. If you're a high performing technical leader, with high standards, who wants to work on an ambitious team that solves interesting technical problems and has a healthy respect for personal wellbeing, we'd love for you to apply to join our team. What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . Thomson Reuters informs the way forward by delivering trusted content and technology that professionals and institutions need to make the right decisions. We are modernizing the pillars of society through the digitalization of the tax and legal professions, the free press, commerce, and the rule of law, and elevating the way professionals and institutions work. Discover how Thomson Reuters approaches AI innovation as Chief Product Officer David Wong breaks down the essential components.
Jul 01, 2025
Full time
About Us The Reuters Connect Platform team builds and maintains our flagship digital marketplace, Reuters Connect, where customers discover and license multimedia content from Reuters and partners, similar to Getty Images or Shutterstock but focused on news. Our team, part of Reuters News Agency engineering, develops critical applications and services for news multimedia content delivery (text, graphics, photos, audio, video) via scalable content solutions. We are a close-knit team using Agile, Scrum, Domain Driven Design, and CLEAN Architecture with technologies like TypeScript, React, Next.JS, Clojure(Script), Python, Docker, and AWS. We are seeking an experienced Front End Technical Lead to guide a Scrum team in developing web-based applications. You will serve as a technical expert and team leader, bridging business objectives with technical implementation. Your role includes defining and delivering high-impact, scalable solutions, mentoring team members, and fostering a positive engineering culture. You will work with cross-functional peers to ensure solutions align with business goals and delivery timelines, while managing risks and ensuring quality standards are met. About The Role As our Front End Technical Lead, you will: Ensure technical solutions meet business needs, remove blockers, manage risks, and communicate effectively with stakeholders. Partner with cross functional peers to turn ideas into scoped, cohesive, well-defined, well-architected solutions with predictable delivery timelines Lead technical strategy, maintain high engineering standards, and ensure system scalability and health. Mentor and build a high-performing team, fostering growth and collaboration. Guide the team in creating compelling user experiences and scalable web solutions. Provide technical guidance and conduct code reviews. Communicate technology strategy to stakeholders and lead Scrum ceremonies. Drive technical innovation and define front end architecture. Align technical solutions with business goals and ensure cohesive delivery. Manage and prioritize technical debt improvements and respond to critical issues. About You: To be our Front End Technical Lead you will likely have: Proven experience leading a software engineering team and providing technical guidance. Strong communication skills to bridge technical and non-technical stakeholders. Experience with Agile/Scrum processes and ability to operate in ambiguity. Passion for learning and professional growth. Nice to Have Full stack development, Domain Driven Design, Functional programming, Automated testing, Behavioral analytics, Microfrontends, Monorepos, Clojure(Script), GraphQL. If you're a high performing technical leader, with high standards, who wants to work on an ambitious team that solves interesting technical problems and has a healthy respect for personal wellbeing, we'd love for you to apply to join our team. What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact:We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here . Learn more on how to protect yourself from fraudulent job postings here . Thomson Reuters informs the way forward by delivering trusted content and technology that professionals and institutions need to make the right decisions. We are modernizing the pillars of society through the digitalization of the tax and legal professions, the free press, commerce, and the rule of law, and elevating the way professionals and institutions work. Discover how Thomson Reuters approaches AI innovation as Chief Product Officer David Wong breaks down the essential components.
Do you want to join an innovative team of engineers and analysts who use machine learning and analytical techniques to create state-of-the-art solutions for providing better value to Amazon's Sellers, Vendors, and Customers? Are you excited by the prospect of analyzing large amounts of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Business Intelligence and Analytics team for Support Operations. As a business intelligence engineer, there are lots of opportunities for you to make an impact. Your talent is wanted to make data accessible to modeling our models cannot go very far without good data. You will design and implement streamlined data pipelines that can scale for volume, velocity, variety, and veracity. Your talent is wanted to make model results measured. You will build metrics and procedures to quantify their goodness and badness (much easier said than done). Your talent is wanted to democratize analytics. You will design and build dash- and visualization functionalities that will help our team members and business customers to explore complex multi-dimensional data produced by production systems as well as our models. You should be a self-starter who knows and loves working with BI tools, and who thrives on implementing creative approaches and dealing with the intricate complexity of large data sets. You will also have the opportunity to display your skills in the following areas: - Performing analysis and validation using mathematical optimization models for network design tasks - Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. - Partnering closely with other team members to solve analytical problems and working with customers to answer key business questions. - Communicating with senior management as well as with colleagues from different backgrounds Key job responsibilities - Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation - Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations. - Build and design data pipelines and orchestrations design that can scale for volume, velocity, variety, and veracity. - Develop metrics that helps support product category growth and expansion plans About the team The Support Operations team provides world-class support to the North America supply chain with initiatives that require complex investigation. With a mix of operational and program expertise, Support Ops works with various stakeholders to investigate and resolve supply chain issues, while minimizing the overall business risk and maintaining the high Amazon quality bar. Support Ops Analytics is dedicated to delivering timely data insights to the leaders of Support Operations. We create dashboards, reports, and data pipelines to enable our stakeholders to move as quickly as possible in meeting our goals while maintaining a quality selling partner experience. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 10+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 01, 2025
Full time
Do you want to join an innovative team of engineers and analysts who use machine learning and analytical techniques to create state-of-the-art solutions for providing better value to Amazon's Sellers, Vendors, and Customers? Are you excited by the prospect of analyzing large amounts of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Business Intelligence and Analytics team for Support Operations. As a business intelligence engineer, there are lots of opportunities for you to make an impact. Your talent is wanted to make data accessible to modeling our models cannot go very far without good data. You will design and implement streamlined data pipelines that can scale for volume, velocity, variety, and veracity. Your talent is wanted to make model results measured. You will build metrics and procedures to quantify their goodness and badness (much easier said than done). Your talent is wanted to democratize analytics. You will design and build dash- and visualization functionalities that will help our team members and business customers to explore complex multi-dimensional data produced by production systems as well as our models. You should be a self-starter who knows and loves working with BI tools, and who thrives on implementing creative approaches and dealing with the intricate complexity of large data sets. You will also have the opportunity to display your skills in the following areas: - Performing analysis and validation using mathematical optimization models for network design tasks - Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. - Partnering closely with other team members to solve analytical problems and working with customers to answer key business questions. - Communicating with senior management as well as with colleagues from different backgrounds Key job responsibilities - Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation - Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations. - Build and design data pipelines and orchestrations design that can scale for volume, velocity, variety, and veracity. - Develop metrics that helps support product category growth and expansion plans About the team The Support Operations team provides world-class support to the North America supply chain with initiatives that require complex investigation. With a mix of operational and program expertise, Support Ops works with various stakeholders to investigate and resolve supply chain issues, while minimizing the overall business risk and maintaining the high Amazon quality bar. Support Ops Analytics is dedicated to delivering timely data insights to the leaders of Support Operations. We create dashboards, reports, and data pipelines to enable our stakeholders to move as quickly as possible in meeting our goals while maintaining a quality selling partner experience. Training & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - 10+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining PREFERRED QUALIFICATIONS - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
We're the feel-good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and over 300 stores in the UK. By living our values - we play to win, customer obsessed, we are one and it starts with me - we deliver That New Look Feeling for our customers and each other. The Role: The Experimentation Manager plays a key role in advancing our Customer & Digital Product strategy. This role enables product squads and digital teams to achieve their OKRs by embedding a robust experimentation culture and following a test-and-learn approach. The manager ensures a strong testing program and infrastructure to maximize learning, optimise customer experiences, and support the broader product strategy. Key responsibilities include: Acting as the primary experimentation and optimization point of contact, consulting and supporting Product and Ecommerce teams in developing their experimentation roadmaps. Partnering with Product Managers to understand quarterly OKRs and designing experiments that drive impactful outcomes. Advising Digital teams on impactful experiment designs, to ensure learnings are actionable. Providing detailed post-test analysis and actionable insights to squads. Proactively monitoring live experiments and ensuring metrics and segmentation are correctly implemented and reported. Scaling experimentation by enhancing frameworks and tools to support multiple teams and experiments simultaneously. Collaborating with technical teams to continuously improve test execution processes. What you'll be doing: Collaborate with Digital teams, senior leadership, and peers to develop the strategy for experimentation. Build strong relationships with Product Management to align experimentation efforts with development roadmaps. Create and maintain leadership-facing dashboards and reports, increasing visibility of results and findings across the business. Ensure tests are designed to provide clear answers aligned with business goals and metrics. Present results to stakeholders and maintain a centralized knowledge library of test outcomes. Stay updated with industry trends, emerging technologies, and best practices to continuously innovate the testing program. Foster collaboration with UX, Marketing, Ecommerce, and Customer Care teams, ensuring their involvement in the experimentation process. Evangelize experimentation best practices across the organization by hosting hypothesis generation sessions and ideation workshops. Support teams in ensuring smooth execution of the Test & Build cycle, maintaining close collaboration with UX. Identify and resolve testing issues, keeping stakeholders informed of delays or updates. Enhance testing velocity by streamlining processes and implementing automation where possible. Work with third-party providers to manage technical integrations for web and app testing environments. Who you are: Passion for deriving insights and intellectual curiosity. Strong communication skills, including written updates, presentations, and effective workshop facilitation. The ability to build strong relationships across teams and influence decisions. A focus on enhancing customer experiences through digital channels. Experience managing A/B and MVT testing programs, including the use of holdout groups. Proven ability to lead and scale company-wide experimentation programs. Deep knowledge of tools supporting automation, experimentation, personalization, attribution, and analytics. Strong collaboration skills with Product Managers, Data, Engineering, and Analytics teams. Expertise in experimentation best practices and scaling strategies for multiple simultaneous tests. Proficiency in quantitative analysis for data-driven decision-making. Familiarity with qualitative analysis and its role in experimentation strategies. Advanced skills in web analytics tools such as Adobe Analytics, Google Analytics, or Content Square. Proficiency in SQL, with additional programming skills (e.g., Python, R) as a plus. Technical aptitude to navigate APIs, databases, and system architecture. Why New Look? We care about you and the planet and believe fashion should be a force for positive change. We celebrate inclusion and diversity in everything we do. We're proud of our inclusive culture and our talented team members who embrace our shared purpose, behaviours and values. We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals. We pride ourselves on being a flexible employer, our colleagues work a range of patterns. If you have a specific pattern in mind, we're keen to discuss this with you in line with the output needed for the role.
Jul 01, 2025
Full time
We're the feel-good fashion brand making style accessible and fun for over 55 years, on our website, mobile app and over 300 stores in the UK. By living our values - we play to win, customer obsessed, we are one and it starts with me - we deliver That New Look Feeling for our customers and each other. The Role: The Experimentation Manager plays a key role in advancing our Customer & Digital Product strategy. This role enables product squads and digital teams to achieve their OKRs by embedding a robust experimentation culture and following a test-and-learn approach. The manager ensures a strong testing program and infrastructure to maximize learning, optimise customer experiences, and support the broader product strategy. Key responsibilities include: Acting as the primary experimentation and optimization point of contact, consulting and supporting Product and Ecommerce teams in developing their experimentation roadmaps. Partnering with Product Managers to understand quarterly OKRs and designing experiments that drive impactful outcomes. Advising Digital teams on impactful experiment designs, to ensure learnings are actionable. Providing detailed post-test analysis and actionable insights to squads. Proactively monitoring live experiments and ensuring metrics and segmentation are correctly implemented and reported. Scaling experimentation by enhancing frameworks and tools to support multiple teams and experiments simultaneously. Collaborating with technical teams to continuously improve test execution processes. What you'll be doing: Collaborate with Digital teams, senior leadership, and peers to develop the strategy for experimentation. Build strong relationships with Product Management to align experimentation efforts with development roadmaps. Create and maintain leadership-facing dashboards and reports, increasing visibility of results and findings across the business. Ensure tests are designed to provide clear answers aligned with business goals and metrics. Present results to stakeholders and maintain a centralized knowledge library of test outcomes. Stay updated with industry trends, emerging technologies, and best practices to continuously innovate the testing program. Foster collaboration with UX, Marketing, Ecommerce, and Customer Care teams, ensuring their involvement in the experimentation process. Evangelize experimentation best practices across the organization by hosting hypothesis generation sessions and ideation workshops. Support teams in ensuring smooth execution of the Test & Build cycle, maintaining close collaboration with UX. Identify and resolve testing issues, keeping stakeholders informed of delays or updates. Enhance testing velocity by streamlining processes and implementing automation where possible. Work with third-party providers to manage technical integrations for web and app testing environments. Who you are: Passion for deriving insights and intellectual curiosity. Strong communication skills, including written updates, presentations, and effective workshop facilitation. The ability to build strong relationships across teams and influence decisions. A focus on enhancing customer experiences through digital channels. Experience managing A/B and MVT testing programs, including the use of holdout groups. Proven ability to lead and scale company-wide experimentation programs. Deep knowledge of tools supporting automation, experimentation, personalization, attribution, and analytics. Strong collaboration skills with Product Managers, Data, Engineering, and Analytics teams. Expertise in experimentation best practices and scaling strategies for multiple simultaneous tests. Proficiency in quantitative analysis for data-driven decision-making. Familiarity with qualitative analysis and its role in experimentation strategies. Advanced skills in web analytics tools such as Adobe Analytics, Google Analytics, or Content Square. Proficiency in SQL, with additional programming skills (e.g., Python, R) as a plus. Technical aptitude to navigate APIs, databases, and system architecture. Why New Look? We care about you and the planet and believe fashion should be a force for positive change. We celebrate inclusion and diversity in everything we do. We're proud of our inclusive culture and our talented team members who embrace our shared purpose, behaviours and values. We prioritise development, offering training to support your progression, so you can be your absolute best and achieve your goals. We pride ourselves on being a flexible employer, our colleagues work a range of patterns. If you have a specific pattern in mind, we're keen to discuss this with you in line with the output needed for the role.
As a hands on UX/UI & Service Designer, you will design and test user centred digital products and supporting services within our new IT function. You will plan and run research, translate insights into intuitive interfaces and end to end service journeys, and collaborate closely with engineers and product owners to ship high quality solutions. KEY RESPONSIBILITIES User Research & Testing Plan, conduct and analyse qualitative and quantitative studies (interviews, usability tests, surveys, analytics reviews) Communicate findings through personas, journey maps and actionable insights Interaction & Visual Design Create information architectures, user flows, wireframes, high fidelity UI and interactive prototypes in Figma Ensure designs are responsive and meet WCAG2.2AA accessibility standards Service Design Mapping Document current and future service blueprints, highlighting backstage processes, systems and roles. Identify pain points and opportunities to streamline user and staff experiences. Design System Contribution Reuse and extend our component library; document new patterns for wider adoption Agile Delivery Collaboration Work day today with product, engineering and QA in Scrum/Kanban squads Provide clear design specifications and support implementation via design reviews Define success metrics with product teams and iterate designs based on data and feedback postlaunch SKILLS & COMPETENCIES To be successful in this role, you will demonstrate: Time management & prioritisation skills - things can get a little hectic, so the ability to effectively manage yourself and your workload is critical Excellent interpersonal and communication skills (in English or/and other European languages) - you must be able to organise your thoughts in a way that others find clear and compelling. You will be expected to put together well-written, grammatically correct emails and other communications. When communicating verbally - whether over the phone, on video calls, in person or in meetings - you will need to be articulate, warm and engaging Flexibility - being an effective team player means being flexible in your approach and open to getting involved with new things, even if they are not spelt out in your job description Intellectual Curiosity - we are looking for someone who is truly interested in our profession and has the intellectual curiosity to delve deep into topics and bring fresh ideas to the team IT Literacy - you should have an interest in technology, including AI and show the aptitude to bring this into your role and the projects you are accountable for delivering. You do not need to be a technologist yourself but you must be technically literate and curious about the possibilities that technology Delivery focus - it may sound obvious, but the ability to proactively churn through work at pace and deliver quality outputs really matters Strong critical thinking and problem-solving skills Passion for our mission to generate a more sustainable future by leading the transition to clean energy Our values: be a leader, build trust, be responsible, be innovative and 'bring your alpha'. EXPERIENCE & QUALIFICATIONS 3-5years professional experience delivering UX/UI and service design for digital products Degree or equivalent experience in UX Design, Service Design, HCI, Interaction Design or related field Strong portfolio demonstrating research backed design solutions and measurable impact. Proficient with Figma (or similar), prototyping, and collaboration tools (Miro, Jira, Confluence) Working knowledge of HTML/CSS principles to facilitate handoff and implementation conversations Experience conducting usability testing and analysing mixed method research data Comfortable working in agile delivery environments alongside cross functional teams Solid understanding of accessibility and inclusive design practices The right to work in the UK. WHAT WE OFFER A busy role in a supportive team, with plenty of opportunities to learn International scope - we operate in over 8 countries Hybrid working - we will need you in the central London (Mayfair) office at least twice a week, but you will normally be able to work remotely for the remainder of the week 30 days' holiday per year (3 of which are taken during the festive shutdown in December) BUPA Healthcare for you and qualifying dependents Cycle to work and electric vehicle leasing schemes Annual discretionary bonus. HOW TO APPLY If you are interested in this opportunity, please follow the link to apply or send your application . If you have been shortlisted for the next stage, we will be in contact within 14 days. By selecting "Apply" or sending us your CV, you indicate you have read and acknowledged NextEnergy Group's Candidate Privacy Notice. DIVERSITY AND INCLUSION Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression. The collective sum of our individual differences, life experiences, knowledge, innovation, self-expression, and talent and hard work form the bedrock of who we are and who we aspire to be. We are committed to equal employment and advancement opportunity irrespective of race, color, ancestry, social background, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. ABOUT US NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector. Since its inception, it has been active in the development, construction, and ownership of solar assets across multiple jurisdictions. NextEnergy Group operates via its three business units: NextEnergy Capital (Investment Management), WiseEnergy (Operating Asset Management), and Starlight (Asset Development). NextEnergy Capital manages the Group's investment activities and has invested in over 520 solar plants, exceeding 2GW in capacity across its institutional funds. NextEnergy Solar Fund (NESF): Listed on the London Stock Exchange, NESF manages 102 solar and energy storage assets in the UK and Italy, with a total installed capacity of 983MW and a gross asset value of £1,014m. NextPower II (NPII): A private fund of 105 solar plants (149MW) focused on Italy, successfully divested in January 2022, delivering net IRRs exceeding its 10-12% target. NextPower III ESG (NPIII ESG): A private fund targeting solar infrastructure in OECD countries (e.g., US, Spain, Italy), with $896m raised, exceeding its $750m target. NextPower UK ESG (NPUK ESG): A private fund dedicated to new-build solar plants in the UK, with £600m raised. NextPower V ESG (NPV ESG): A private OECD solar fund investing in solar and adjacent technologies like battery storage. To date, it has raised $745m, targeting $1.5bn ($2bn ceiling). WiseEnergy is NextEnergy Group's operating asset manager. WiseEnergy is a leading specialist operating asset manager in the solar sector. Since its founding, WiseEnergy has provided solar asset management, monitoring, technical due diligence and under construction services to over 1,500 utility-scale solar power plants with an installed total capacity in excess of 3.4 GW. WiseEnergy clients comprise leading banks and equity financiers in the energy and infrastructure sector. Starlight is NextEnergy Group's development company that is active in the development phase of solar projects. It has developed over 100 utility-scale projects internationally and continues to progress a large pipeline of c.10GW of both green and brownfield project developments across global geographies. NextSTEP is the venture capital fund of NextEnergy Group, dedicated to investing in innovative startups in the field of environmental sustainability. The fund primarily focuses on investments in Italy and the United Kingdom but also extends its reach to the rest of Europe and the United States, targeting startups in the pre-seed and seed stages. NextSTEP pays particular attention to emerging entities from incubators, startup accelerators, universities, and research centers, supporting projects that address global challenges in crucial areas such as Climate Change, Energy Transition, CO2 Capture and Sequestration, Circular Economy, Sustainable Cities, Sustainable Mobility, Sustainable Fashion, Waste Management, Water and much more. NextEnergy Foundation is a non-profit organisation founded in 2016 by the NextEnergy Group that operates internationally and whose mission is to proactively participate in the global effort to reduce carbon emissions by providing clean energy sources in regions where they are not yet available and thereby contributing to poverty reduction. As the main sponsor of this foundation, the NextEnergy Group donates at least 5% of its consolidated net profits each year. The NextEnergy Foundation has no overhead costs and therefore 100% of the funds raised go to donations for the various projects. Since 2016, in 8 years of operation the foundation has donated more than £1 . click apply for full job details
Jul 01, 2025
Full time
As a hands on UX/UI & Service Designer, you will design and test user centred digital products and supporting services within our new IT function. You will plan and run research, translate insights into intuitive interfaces and end to end service journeys, and collaborate closely with engineers and product owners to ship high quality solutions. KEY RESPONSIBILITIES User Research & Testing Plan, conduct and analyse qualitative and quantitative studies (interviews, usability tests, surveys, analytics reviews) Communicate findings through personas, journey maps and actionable insights Interaction & Visual Design Create information architectures, user flows, wireframes, high fidelity UI and interactive prototypes in Figma Ensure designs are responsive and meet WCAG2.2AA accessibility standards Service Design Mapping Document current and future service blueprints, highlighting backstage processes, systems and roles. Identify pain points and opportunities to streamline user and staff experiences. Design System Contribution Reuse and extend our component library; document new patterns for wider adoption Agile Delivery Collaboration Work day today with product, engineering and QA in Scrum/Kanban squads Provide clear design specifications and support implementation via design reviews Define success metrics with product teams and iterate designs based on data and feedback postlaunch SKILLS & COMPETENCIES To be successful in this role, you will demonstrate: Time management & prioritisation skills - things can get a little hectic, so the ability to effectively manage yourself and your workload is critical Excellent interpersonal and communication skills (in English or/and other European languages) - you must be able to organise your thoughts in a way that others find clear and compelling. You will be expected to put together well-written, grammatically correct emails and other communications. When communicating verbally - whether over the phone, on video calls, in person or in meetings - you will need to be articulate, warm and engaging Flexibility - being an effective team player means being flexible in your approach and open to getting involved with new things, even if they are not spelt out in your job description Intellectual Curiosity - we are looking for someone who is truly interested in our profession and has the intellectual curiosity to delve deep into topics and bring fresh ideas to the team IT Literacy - you should have an interest in technology, including AI and show the aptitude to bring this into your role and the projects you are accountable for delivering. You do not need to be a technologist yourself but you must be technically literate and curious about the possibilities that technology Delivery focus - it may sound obvious, but the ability to proactively churn through work at pace and deliver quality outputs really matters Strong critical thinking and problem-solving skills Passion for our mission to generate a more sustainable future by leading the transition to clean energy Our values: be a leader, build trust, be responsible, be innovative and 'bring your alpha'. EXPERIENCE & QUALIFICATIONS 3-5years professional experience delivering UX/UI and service design for digital products Degree or equivalent experience in UX Design, Service Design, HCI, Interaction Design or related field Strong portfolio demonstrating research backed design solutions and measurable impact. Proficient with Figma (or similar), prototyping, and collaboration tools (Miro, Jira, Confluence) Working knowledge of HTML/CSS principles to facilitate handoff and implementation conversations Experience conducting usability testing and analysing mixed method research data Comfortable working in agile delivery environments alongside cross functional teams Solid understanding of accessibility and inclusive design practices The right to work in the UK. WHAT WE OFFER A busy role in a supportive team, with plenty of opportunities to learn International scope - we operate in over 8 countries Hybrid working - we will need you in the central London (Mayfair) office at least twice a week, but you will normally be able to work remotely for the remainder of the week 30 days' holiday per year (3 of which are taken during the festive shutdown in December) BUPA Healthcare for you and qualifying dependents Cycle to work and electric vehicle leasing schemes Annual discretionary bonus. HOW TO APPLY If you are interested in this opportunity, please follow the link to apply or send your application . If you have been shortlisted for the next stage, we will be in contact within 14 days. By selecting "Apply" or sending us your CV, you indicate you have read and acknowledged NextEnergy Group's Candidate Privacy Notice. DIVERSITY AND INCLUSION Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression. The collective sum of our individual differences, life experiences, knowledge, innovation, self-expression, and talent and hard work form the bedrock of who we are and who we aspire to be. We are committed to equal employment and advancement opportunity irrespective of race, color, ancestry, social background, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. ABOUT US NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector. Since its inception, it has been active in the development, construction, and ownership of solar assets across multiple jurisdictions. NextEnergy Group operates via its three business units: NextEnergy Capital (Investment Management), WiseEnergy (Operating Asset Management), and Starlight (Asset Development). NextEnergy Capital manages the Group's investment activities and has invested in over 520 solar plants, exceeding 2GW in capacity across its institutional funds. NextEnergy Solar Fund (NESF): Listed on the London Stock Exchange, NESF manages 102 solar and energy storage assets in the UK and Italy, with a total installed capacity of 983MW and a gross asset value of £1,014m. NextPower II (NPII): A private fund of 105 solar plants (149MW) focused on Italy, successfully divested in January 2022, delivering net IRRs exceeding its 10-12% target. NextPower III ESG (NPIII ESG): A private fund targeting solar infrastructure in OECD countries (e.g., US, Spain, Italy), with $896m raised, exceeding its $750m target. NextPower UK ESG (NPUK ESG): A private fund dedicated to new-build solar plants in the UK, with £600m raised. NextPower V ESG (NPV ESG): A private OECD solar fund investing in solar and adjacent technologies like battery storage. To date, it has raised $745m, targeting $1.5bn ($2bn ceiling). WiseEnergy is NextEnergy Group's operating asset manager. WiseEnergy is a leading specialist operating asset manager in the solar sector. Since its founding, WiseEnergy has provided solar asset management, monitoring, technical due diligence and under construction services to over 1,500 utility-scale solar power plants with an installed total capacity in excess of 3.4 GW. WiseEnergy clients comprise leading banks and equity financiers in the energy and infrastructure sector. Starlight is NextEnergy Group's development company that is active in the development phase of solar projects. It has developed over 100 utility-scale projects internationally and continues to progress a large pipeline of c.10GW of both green and brownfield project developments across global geographies. NextSTEP is the venture capital fund of NextEnergy Group, dedicated to investing in innovative startups in the field of environmental sustainability. The fund primarily focuses on investments in Italy and the United Kingdom but also extends its reach to the rest of Europe and the United States, targeting startups in the pre-seed and seed stages. NextSTEP pays particular attention to emerging entities from incubators, startup accelerators, universities, and research centers, supporting projects that address global challenges in crucial areas such as Climate Change, Energy Transition, CO2 Capture and Sequestration, Circular Economy, Sustainable Cities, Sustainable Mobility, Sustainable Fashion, Waste Management, Water and much more. NextEnergy Foundation is a non-profit organisation founded in 2016 by the NextEnergy Group that operates internationally and whose mission is to proactively participate in the global effort to reduce carbon emissions by providing clean energy sources in regions where they are not yet available and thereby contributing to poverty reduction. As the main sponsor of this foundation, the NextEnergy Group donates at least 5% of its consolidated net profits each year. The NextEnergy Foundation has no overhead costs and therefore 100% of the funds raised go to donations for the various projects. Since 2016, in 8 years of operation the foundation has donated more than £1 . click apply for full job details
Join our team and be part of a company that truly lives its values. With our expertise and commitment to innovation, we aim to build trust and make health and wellness accessible to all. By fostering inclusivity and care, we work collaboratively to improve the well-being of our colleagues, customers, and communities. We have a fantastic opportunity to join us as an eCommerce Manager in our growing Digital team. This role is responsible for driving growth and performance for the Food & Drink category across both website and app for the UK and Ireland. This is a highly visible role where you will regularly be collaborating with a range of stakeholders across Digital, Commercial, Tech, Retail Operations, Marketing, and Finance to ensure alignment for all plans to drive performance and experience. You are the primary point of contact for your commercial teams to shape and deliver the digital category strategy, considering a range of KPIs such as revenue, margin, customer growth, conversion and many more. The Role: The Purpose of the Role: Key Responsibilities: Develop and implement comprehensive category strategies to achieve and exceed revenue and profitability targets. Analyse market trends, customer behaviour, and competitive landscape to identify growth opportunities Use data-driven insights to identify and implement continuous improvements to site and category performance. Collaborate with a wide range of functions including the wider digital team, product, engineering, UX, operations, and customer service teams to ensure seamless end-to-end customer experiences. Work closely with supply chain planning and logistics teams to ensure accurateinventory levels, forecasting demand and coordinating relevant activity to minimise stockouts and sell through excess inventory. Drive and implement on-site campaignactivity and promotional changeovers, considering key commercial opportunities, NPD, wider campaign focus and customer & market demand. Driveinitiatives to enhance the customer journey, from discovery to post-purchase with data at the heart of all decision Location: This role can be based in Nuneaton or London, and occasionally required to travel to any other location of H&B. Wesupport flexibility and productivity of our employees by hybrid working arrangements with minimum 2 days presence in the office. The Person: Key Requirements: Strong knowledge of e-commerce principles and environment, including promotional strategies, customer journey mapping, and trading cycles. Expertise inmonitoring market trends and competitive activities, ideally within the Food & Drink landscape, translating insights into actionable strategies to maintain market leadership. Proficiency in digital analytics platforms (e.g., Google Analytics, Tableau, Metabase, Content Square) to measure performance metrics and implement data-driven improvements. Knowledge of content management systems (CMS) and merchandising tools to drive website and app performance. Track record of identifying and quickly implementing revenue-driving opportunities, such as new promotional tactics, range expansion, and building partnership opportunities. Ability to analyse complex data sets to identify trends, address challenges, and continuously offer new solutions Excellentcommunication and interpersonal skills for effective collaboration with internal teams and external partners What we offer: Our Benefits for this role include, but not limited to: H&B Employee Discount - 25% Bonus Pension companycontribution 33 Days Holiday per year (Inclusive of bank holidays) Private Medical Care Exclusivebenefits, free advice and savings from a range of retailers and providers Electric Car Scheme We're passionate about helping every colleague thrive across all dimensions of wellbeing, and we're committed to having a diverse and inclusive workplace. In line with our EPIC values (Expertise, Pioneering, Inclusive, Caring), we embrace and actively celebrate all our colleagues' unique and varying experiences, backgrounds, identities and cultures - I am me, we are H&B. Holland & Barrett does not accept unsolicited resumes from search firms/recruiters. Please do not forward resumes to our job alias, employees, or any other company location. Holland & Barrett is not and will not be responsible for any fees if a candidate submitted by a search firm/recruiter unless otherwise agreed with respect to specific open position(s). Vacancy Alerts Create an alert subscription based on this vacancy
Jul 01, 2025
Full time
Join our team and be part of a company that truly lives its values. With our expertise and commitment to innovation, we aim to build trust and make health and wellness accessible to all. By fostering inclusivity and care, we work collaboratively to improve the well-being of our colleagues, customers, and communities. We have a fantastic opportunity to join us as an eCommerce Manager in our growing Digital team. This role is responsible for driving growth and performance for the Food & Drink category across both website and app for the UK and Ireland. This is a highly visible role where you will regularly be collaborating with a range of stakeholders across Digital, Commercial, Tech, Retail Operations, Marketing, and Finance to ensure alignment for all plans to drive performance and experience. You are the primary point of contact for your commercial teams to shape and deliver the digital category strategy, considering a range of KPIs such as revenue, margin, customer growth, conversion and many more. The Role: The Purpose of the Role: Key Responsibilities: Develop and implement comprehensive category strategies to achieve and exceed revenue and profitability targets. Analyse market trends, customer behaviour, and competitive landscape to identify growth opportunities Use data-driven insights to identify and implement continuous improvements to site and category performance. Collaborate with a wide range of functions including the wider digital team, product, engineering, UX, operations, and customer service teams to ensure seamless end-to-end customer experiences. Work closely with supply chain planning and logistics teams to ensure accurateinventory levels, forecasting demand and coordinating relevant activity to minimise stockouts and sell through excess inventory. Drive and implement on-site campaignactivity and promotional changeovers, considering key commercial opportunities, NPD, wider campaign focus and customer & market demand. Driveinitiatives to enhance the customer journey, from discovery to post-purchase with data at the heart of all decision Location: This role can be based in Nuneaton or London, and occasionally required to travel to any other location of H&B. Wesupport flexibility and productivity of our employees by hybrid working arrangements with minimum 2 days presence in the office. The Person: Key Requirements: Strong knowledge of e-commerce principles and environment, including promotional strategies, customer journey mapping, and trading cycles. Expertise inmonitoring market trends and competitive activities, ideally within the Food & Drink landscape, translating insights into actionable strategies to maintain market leadership. Proficiency in digital analytics platforms (e.g., Google Analytics, Tableau, Metabase, Content Square) to measure performance metrics and implement data-driven improvements. Knowledge of content management systems (CMS) and merchandising tools to drive website and app performance. Track record of identifying and quickly implementing revenue-driving opportunities, such as new promotional tactics, range expansion, and building partnership opportunities. Ability to analyse complex data sets to identify trends, address challenges, and continuously offer new solutions Excellentcommunication and interpersonal skills for effective collaboration with internal teams and external partners What we offer: Our Benefits for this role include, but not limited to: H&B Employee Discount - 25% Bonus Pension companycontribution 33 Days Holiday per year (Inclusive of bank holidays) Private Medical Care Exclusivebenefits, free advice and savings from a range of retailers and providers Electric Car Scheme We're passionate about helping every colleague thrive across all dimensions of wellbeing, and we're committed to having a diverse and inclusive workplace. In line with our EPIC values (Expertise, Pioneering, Inclusive, Caring), we embrace and actively celebrate all our colleagues' unique and varying experiences, backgrounds, identities and cultures - I am me, we are H&B. Holland & Barrett does not accept unsolicited resumes from search firms/recruiters. Please do not forward resumes to our job alias, employees, or any other company location. Holland & Barrett is not and will not be responsible for any fees if a candidate submitted by a search firm/recruiter unless otherwise agreed with respect to specific open position(s). Vacancy Alerts Create an alert subscription based on this vacancy
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. We're trying to optimize shopping experience for Amazon's Customers in the Physical retail space. This role will be a key member of the core Analytics team located in Hyderabad. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business group strategy is a must. Key job responsibilities Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations. Develop metrics that helps support product category growth and expansion plans Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in Statistical Analysis packages such as R, SAS and Matlab PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Based on your recent activity, you may be interested in: Posted: September 30, 2024 (Updated 9 months ago) Posted: October 8, 2024 (Updated 13 days ago) Posted: May 12, 2025 (Updated 12 days ago) Posted: January 27, 2025 (Updated about 2 months ago) Posted: June 2, 2025 (Updated 20 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
Jul 01, 2025
Full time
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. We're trying to optimize shopping experience for Amazon's Customers in the Physical retail space. This role will be a key member of the core Analytics team located in Hyderabad. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business group strategy is a must. Key job responsibilities Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations. Develop metrics that helps support product category growth and expansion plans Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in Statistical Analysis packages such as R, SAS and Matlab PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Based on your recent activity, you may be interested in: Posted: September 30, 2024 (Updated 9 months ago) Posted: October 8, 2024 (Updated 13 days ago) Posted: May 12, 2025 (Updated 12 days ago) Posted: January 27, 2025 (Updated about 2 months ago) Posted: June 2, 2025 (Updated 20 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
Sustainability Data Optimization Manager page is loaded Sustainability Data Optimization Manager Apply remote type On-site locations London, GBR time type Full time posted on Posted 4 Days Ago job requisition id REQ438413 JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Sustainability Data Optimization Manager About the Job In this role, you will work with one of our high-profile clients, acting as an embedded extension of their in-house team. As a member of the JLL Sustainability Data & Reporting Team, reporting to the EMEA Head of Sustainability Data & Reporting, you will own optimization of the portfolio with respect to effective sustainability data, reporting and analytics. This role requires aprogrammatic approach to drive consistency in assessment, ideation, program/team calibration, and reporting. What this job involves Own strategic direction on energy, water, waste, and GHG emissions data reporting strategy Support the account team on setting, tracking, and reporting on reduction initiatives in concert with targets and key performance indicators Manage a team of analysts to generate value-add data insights used to inform decision-making processes Communicating complex information in accessible ways to ensure timely actions that support improved performance Working with other team members across the practice to develop, maintain, and improve upon program components and performance targets for regional operations Understanding the implementation of sustainability across the life cycle of commercial real estate, including critical stakeholder roles, strategic decision-making, and how to leverage data tracking and monitoring Advising on opportunities and innovations for improved sustainability data strategy Key responsibilities include: Lead and manage analysts to ensure consistent processes and delivery across the team Develop and maintain documented processes to show sustainability performance data inputs/outputs, information flow, key performance indicator monitoring and measurement components, ideation pipeline, and team/client review-approval process Contribute to the client corporate sustainability strategy by exceeding data management expectations and driving energy and sustainability performance improvement opportunities Provide analytics and data sets to the client with ESG framework alignment and reporting in mind, delivering through a team of Analysts Provide strategic direction and guidance on energy, water, waste, GHG emission reduction/performance data results and trends, including projects recommendations Own, and improve upon, sustainability data management, leading the identification and resolution of data quality issues when observed Establish strong working relationships with account and client teams to ensure comprehensive support and leadership Contribute to SME program components and performance targets to continuously improve performance as related to data results and management Review data-related sustainability project / pilot plans prior to launch for accuracy, recommending calibrations where needed to ensure outcomes align with performance improvement objectives Monitor and verify completed sustainability projects / pilots related to data management for effectiveness Work with sustainable operations team to track and communicate success stories to ensure high levels of awareness and engagement is achieved regarding the overall sustainability program and client's success Demonstrate innovative thinking and proactive management in bringing new ideas and solutions Identify opportunities for enhancing systems and processes for delivering best practice sustainability performance, and use of utility/sustainability management systems for monitoring and/or reporting purposes Provide SME input and own program components (e.g., content development, maintenance) related to SME area Sound like you? To apply you need to be/have: University Degree (Science, engineering, math, or related fields) Passionate about leveraging data that contributes towards a sustainable future An excellent understanding of the key sustainability issues for corporate occupiers of real estate including, but not limited to; decarbonization, embodied carbon, circularity, resource preservation, biodiversity, climate risk, health & wellbeing, and social value creation Demonstrated experience in developing insights, actions, project ideation across energy, water, GHG emissions and waste data aspects Experience working with corporate clients, commercial property, property managers and an understanding of the landlord and tenant relationship is desirable Excellent ability to build relationships with clients and their internal teams A strong track record of managing complex sustainability data sources and subsequently communicating approachable summaries and recommendations to stakeholders for decision-making Experience working in a collaborative way with clients and other stakeholders to identify and solution for robust sustainability performance improvements, using data-backed rationale Proven project management experience and excellent communication skills Attention to detail and accuracy in qualitative and quantitative work Ability to obtain buy-in and engagement from employees at all levels Location: On-site -London, GBR If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! If you require any changes to the application process, please email or call + 44 ( 0 ) to contact one of our team members to discuss how to best support you throughout the process. Please note, the contact details provided are to discuss or request for adjustments to be made to the hiring process. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity and Affirmative Action policy here . Activate your Personal JLL Job Alerts Activate your Personal Job Alerts now and receive opportunities as soon as they are advertised. At JLL, we give you the opportunity, knowledge and tools to own your success, because we value what makes each ofusunique. We help ourpeople thrive, grow meaningful careersand find a place where they belong.Together, we strive to be exceptional and shape a better world. For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, .
Jul 01, 2025
Full time
Sustainability Data Optimization Manager page is loaded Sustainability Data Optimization Manager Apply remote type On-site locations London, GBR time type Full time posted on Posted 4 Days Ago job requisition id REQ438413 JLL empowers you to shape a brighter way. Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Sustainability Data Optimization Manager About the Job In this role, you will work with one of our high-profile clients, acting as an embedded extension of their in-house team. As a member of the JLL Sustainability Data & Reporting Team, reporting to the EMEA Head of Sustainability Data & Reporting, you will own optimization of the portfolio with respect to effective sustainability data, reporting and analytics. This role requires aprogrammatic approach to drive consistency in assessment, ideation, program/team calibration, and reporting. What this job involves Own strategic direction on energy, water, waste, and GHG emissions data reporting strategy Support the account team on setting, tracking, and reporting on reduction initiatives in concert with targets and key performance indicators Manage a team of analysts to generate value-add data insights used to inform decision-making processes Communicating complex information in accessible ways to ensure timely actions that support improved performance Working with other team members across the practice to develop, maintain, and improve upon program components and performance targets for regional operations Understanding the implementation of sustainability across the life cycle of commercial real estate, including critical stakeholder roles, strategic decision-making, and how to leverage data tracking and monitoring Advising on opportunities and innovations for improved sustainability data strategy Key responsibilities include: Lead and manage analysts to ensure consistent processes and delivery across the team Develop and maintain documented processes to show sustainability performance data inputs/outputs, information flow, key performance indicator monitoring and measurement components, ideation pipeline, and team/client review-approval process Contribute to the client corporate sustainability strategy by exceeding data management expectations and driving energy and sustainability performance improvement opportunities Provide analytics and data sets to the client with ESG framework alignment and reporting in mind, delivering through a team of Analysts Provide strategic direction and guidance on energy, water, waste, GHG emission reduction/performance data results and trends, including projects recommendations Own, and improve upon, sustainability data management, leading the identification and resolution of data quality issues when observed Establish strong working relationships with account and client teams to ensure comprehensive support and leadership Contribute to SME program components and performance targets to continuously improve performance as related to data results and management Review data-related sustainability project / pilot plans prior to launch for accuracy, recommending calibrations where needed to ensure outcomes align with performance improvement objectives Monitor and verify completed sustainability projects / pilots related to data management for effectiveness Work with sustainable operations team to track and communicate success stories to ensure high levels of awareness and engagement is achieved regarding the overall sustainability program and client's success Demonstrate innovative thinking and proactive management in bringing new ideas and solutions Identify opportunities for enhancing systems and processes for delivering best practice sustainability performance, and use of utility/sustainability management systems for monitoring and/or reporting purposes Provide SME input and own program components (e.g., content development, maintenance) related to SME area Sound like you? To apply you need to be/have: University Degree (Science, engineering, math, or related fields) Passionate about leveraging data that contributes towards a sustainable future An excellent understanding of the key sustainability issues for corporate occupiers of real estate including, but not limited to; decarbonization, embodied carbon, circularity, resource preservation, biodiversity, climate risk, health & wellbeing, and social value creation Demonstrated experience in developing insights, actions, project ideation across energy, water, GHG emissions and waste data aspects Experience working with corporate clients, commercial property, property managers and an understanding of the landlord and tenant relationship is desirable Excellent ability to build relationships with clients and their internal teams A strong track record of managing complex sustainability data sources and subsequently communicating approachable summaries and recommendations to stakeholders for decision-making Experience working in a collaborative way with clients and other stakeholders to identify and solution for robust sustainability performance improvements, using data-backed rationale Proven project management experience and excellent communication skills Attention to detail and accuracy in qualitative and quantitative work Ability to obtain buy-in and engagement from employees at all levels Location: On-site -London, GBR If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! If you require any changes to the application process, please email or call + 44 ( 0 ) to contact one of our team members to discuss how to best support you throughout the process. Please note, the contact details provided are to discuss or request for adjustments to be made to the hiring process. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity and Affirmative Action policy here . Activate your Personal JLL Job Alerts Activate your Personal Job Alerts now and receive opportunities as soon as they are advertised. At JLL, we give you the opportunity, knowledge and tools to own your success, because we value what makes each ofusunique. We help ourpeople thrive, grow meaningful careersand find a place where they belong.Together, we strive to be exceptional and shape a better world. For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, .
Remote (UK only) The Opportunity Are you ready to shape the future of data engineering at scale? We're looking for a Principal Data Engineer to join our high-performing Data Engineering team - a role ideal for experienced, hands-on professionals who thrive on technical leadership, innovation, and delivery. As a 100% data-driven company, we pride ourselves on engineering excellence and delivering impactful solutions to our clients. Reporting directly to the Head of Data Engineering, you will play a crucial role in driving the team's vision and objectives to completion. You will be expected to provide technical leadership, own the solution, ensure the reliability of data products, and collaborate closely with your team and customers to optimise data solutions. This is a unique opportunity for a highly skilled, energetic and motivated Senior Lead in Data Engineer with deep hands-on expertise in data engineering and architecture, a strong coding background, and a strategic mindset - someone who can balance technical depth with delivery focus and data analytical leadership. In this role, you will: Technical Leadership: Assist the Head of Data Engineering in overseeing the design, development, and optimisation of data software, data infrastructure and pipelines. Team Technical Leadership: Lead and mentor a team of talented data experts, both permanents and contractors, to deliver cutting-edge solutions, ensuring that best practices in data engineering and software development are followed. Lead by example. Be hands-on. Hands-On Delivery: Lead by example - contribute directly to technical challenges, write high-quality code, and guide architectural decisions. Data Strategy, Solutions & Ownership: Own the technical roadmap, aligning engineering efforts with business goals and ensuring timely delivery, quality control, and innovation. Inspire the team by providing a clear vision for technical excellence and innovation in the data engineering strategy. Cloud: Optimise cloud-based data solutions, storage and processing systems, with hands-on experience in AWS and on-prem services. Technical Excellence: Lead the pursuit of technical excellence by championing best practices automatisations and optimisation, in coding, architecture, and performance. Foster a team culture focused on continuous improvement, where learning is encouraged. Collaboration: Work closely with the customers, PMO, and business stakeholders to deliver high-impact, cost-effective solutions. Assemble Large, Complex Data Sets: Craft and manage data sets that meet both functional and non-functional business requirements, ensuring high data quality and integrity. HMLR Long-Term Programme: As your first major engagement, you will contribute to the HM Land Registry (HMLR) programme, expected to run through to the end of 2028. This is one of the UK Government's largest and most ambitious digital data transformation initiatives, aiming to consolidate all Local Authority Land Charge registers across England and Wales into a single, centralised Land Registry-maintained system. You will empower the engineering team to deliver innovative solutions while fostering a collaborative and inclusive environment. As a mentor, you will support Data Engineers and Data Analysts in overcoming technical challenges and ensuring timely, high-quality delivery. About You We're looking for a passionate, technically strong leader who can inspire and elevate those around them. You'll bring: Depth of Expertise: seasoned hands-on experience in data engineering, with a track record of leading complex data engineering initiatives at scale. Extensive experience in designing, implementing, and optimizing data solutions, supported by a history of successfully managing technical teams and delivery of data projects. Exceptional coding skills. Degree in Computer Science, Software Engineering, or similar (applied to Data. Data Specialisation). Extensive experience in Data Engineering and Data Analytics Expert knowledge in data technologies and data transformation solutions and tools. Strong analytical and problem-solving abilities. Good understanding of Quality and Information Security principles. Effective communication, ability to explain technical concepts to a range of audiences Able to provide coaching and training to less experienced members of the team Essential skills: Programming Languages such as Spark, Java, Python, PySpark, Scala, etc (minimum 2) Extensive Data Engineering and Data Analytics hands-on experience (coding/configuration/automation/monitoring/security/etc) FME Advanced Database and SQL skills Certifications AWS or FME certifications are a plus. Nice to have skills: Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks, etc. Join us and lead the charge in transforming the data landscape at Landmark, while advancing your career in a dynamic and forward-thinking environment. What it's like to work at Landmark: At Landmark, you'll find a friendly, dynamic, and supportive team that values bold ideas, big dreams, and active curiosity. We foster a culture of innovation, encouraging everyone to contribute to the development and direction of our products and services, while continuously seeking new and efficient ways to work. Collaboration and sociability are at the heart of what we do, and we take pride in coming together to achieve great things. We offer a range of benefits to support your well-being and career growth, including: Generous Holiday Allowance: 25 days' holiday plus bank holidays, with the option of adding up to 5 additional unpaid leave days per year Annual Lifestyle Allowance: £300 to spend on an activity of your choice Pension Scheme: Matched up to 6% for the first 3 years, and up to 10% thereafter Private Health Insurance: Provided by Vitality Group Income Protection Scheme Charitable Fundraising: Matched funding for your efforts Cycle to Work and Gym Flex Schemes Internal Coaching and Mentoring: Available throughout your time with us Training and Career Progression: A strong focus on your development Family-Friendly Policies Free Parking Join us at Landmark and be part of a team that supports your ambitions and growth, both personally and professionally. About Us Landmark Information Group holds a wide portfolio of market leading Prop-Tech (property technology) businesses that span an incredible range of markets and technology platforms across the sector. We are at the forefront of innovation and thought leadership in the property industry, being a supplier of national property-related data. We deliver award-winning solutions to estate agency, conveyancing, surveying, lender valuations, land asset management, environmental consultancy, and Government markets. This is a chance to join the organisation as we make major steps forward in leveraging the latest cloud and large-scale technologies to start bringing together the entire market to a unified platform. We are proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website What is your current situation/reason for your application? What is your desired salary? What is your notice period? What experience do you have of Geospatial data? Do you have experience of QGIS? or something tool (please identify)? Do you have experience of FME? or similar tool (please identify)? Do you have experience of coaching, mentoring & developing junior members of staff? If so, please give further detail. Are you eligible to work in the UK? Select Are you currently in the UK on a Visa? Select If yes, what type of Visa, and when does it expire? Will you require sponsorship? If successful in working for Landmark, we will carry out financial probity, fraud & basic disclosure checks. Do you have anything to declare? LIG Equal Employment Landmark Information Group (LIG) is committed to diversity and inclusion. The information below is required so that we can monitor the implementation of our equal opportunities policy. We review this data anonymously and separately from the rest of your application. It will not be used for any other purpose, and it will not be available to or accessed by those shortlisting or interviewing candidates. We would encourage you to complete it so that we can have a full picture of our recruitment patterns, and so that we can effectively measure and monitor candidates' experience throughout our recruitment process. Which gender do you identify with? Select Do you consider your gender identity to be different from your registered sex at birth? Select What is your sexual orientation? Select . click apply for full job details
Jul 01, 2025
Full time
Remote (UK only) The Opportunity Are you ready to shape the future of data engineering at scale? We're looking for a Principal Data Engineer to join our high-performing Data Engineering team - a role ideal for experienced, hands-on professionals who thrive on technical leadership, innovation, and delivery. As a 100% data-driven company, we pride ourselves on engineering excellence and delivering impactful solutions to our clients. Reporting directly to the Head of Data Engineering, you will play a crucial role in driving the team's vision and objectives to completion. You will be expected to provide technical leadership, own the solution, ensure the reliability of data products, and collaborate closely with your team and customers to optimise data solutions. This is a unique opportunity for a highly skilled, energetic and motivated Senior Lead in Data Engineer with deep hands-on expertise in data engineering and architecture, a strong coding background, and a strategic mindset - someone who can balance technical depth with delivery focus and data analytical leadership. In this role, you will: Technical Leadership: Assist the Head of Data Engineering in overseeing the design, development, and optimisation of data software, data infrastructure and pipelines. Team Technical Leadership: Lead and mentor a team of talented data experts, both permanents and contractors, to deliver cutting-edge solutions, ensuring that best practices in data engineering and software development are followed. Lead by example. Be hands-on. Hands-On Delivery: Lead by example - contribute directly to technical challenges, write high-quality code, and guide architectural decisions. Data Strategy, Solutions & Ownership: Own the technical roadmap, aligning engineering efforts with business goals and ensuring timely delivery, quality control, and innovation. Inspire the team by providing a clear vision for technical excellence and innovation in the data engineering strategy. Cloud: Optimise cloud-based data solutions, storage and processing systems, with hands-on experience in AWS and on-prem services. Technical Excellence: Lead the pursuit of technical excellence by championing best practices automatisations and optimisation, in coding, architecture, and performance. Foster a team culture focused on continuous improvement, where learning is encouraged. Collaboration: Work closely with the customers, PMO, and business stakeholders to deliver high-impact, cost-effective solutions. Assemble Large, Complex Data Sets: Craft and manage data sets that meet both functional and non-functional business requirements, ensuring high data quality and integrity. HMLR Long-Term Programme: As your first major engagement, you will contribute to the HM Land Registry (HMLR) programme, expected to run through to the end of 2028. This is one of the UK Government's largest and most ambitious digital data transformation initiatives, aiming to consolidate all Local Authority Land Charge registers across England and Wales into a single, centralised Land Registry-maintained system. You will empower the engineering team to deliver innovative solutions while fostering a collaborative and inclusive environment. As a mentor, you will support Data Engineers and Data Analysts in overcoming technical challenges and ensuring timely, high-quality delivery. About You We're looking for a passionate, technically strong leader who can inspire and elevate those around them. You'll bring: Depth of Expertise: seasoned hands-on experience in data engineering, with a track record of leading complex data engineering initiatives at scale. Extensive experience in designing, implementing, and optimizing data solutions, supported by a history of successfully managing technical teams and delivery of data projects. Exceptional coding skills. Degree in Computer Science, Software Engineering, or similar (applied to Data. Data Specialisation). Extensive experience in Data Engineering and Data Analytics Expert knowledge in data technologies and data transformation solutions and tools. Strong analytical and problem-solving abilities. Good understanding of Quality and Information Security principles. Effective communication, ability to explain technical concepts to a range of audiences Able to provide coaching and training to less experienced members of the team Essential skills: Programming Languages such as Spark, Java, Python, PySpark, Scala, etc (minimum 2) Extensive Data Engineering and Data Analytics hands-on experience (coding/configuration/automation/monitoring/security/etc) FME Advanced Database and SQL skills Certifications AWS or FME certifications are a plus. Nice to have skills: Experience with ETL tools such as AWS Glue, Azure Data Factory, Databricks, etc. Join us and lead the charge in transforming the data landscape at Landmark, while advancing your career in a dynamic and forward-thinking environment. What it's like to work at Landmark: At Landmark, you'll find a friendly, dynamic, and supportive team that values bold ideas, big dreams, and active curiosity. We foster a culture of innovation, encouraging everyone to contribute to the development and direction of our products and services, while continuously seeking new and efficient ways to work. Collaboration and sociability are at the heart of what we do, and we take pride in coming together to achieve great things. We offer a range of benefits to support your well-being and career growth, including: Generous Holiday Allowance: 25 days' holiday plus bank holidays, with the option of adding up to 5 additional unpaid leave days per year Annual Lifestyle Allowance: £300 to spend on an activity of your choice Pension Scheme: Matched up to 6% for the first 3 years, and up to 10% thereafter Private Health Insurance: Provided by Vitality Group Income Protection Scheme Charitable Fundraising: Matched funding for your efforts Cycle to Work and Gym Flex Schemes Internal Coaching and Mentoring: Available throughout your time with us Training and Career Progression: A strong focus on your development Family-Friendly Policies Free Parking Join us at Landmark and be part of a team that supports your ambitions and growth, both personally and professionally. About Us Landmark Information Group holds a wide portfolio of market leading Prop-Tech (property technology) businesses that span an incredible range of markets and technology platforms across the sector. We are at the forefront of innovation and thought leadership in the property industry, being a supplier of national property-related data. We deliver award-winning solutions to estate agency, conveyancing, surveying, lender valuations, land asset management, environmental consultancy, and Government markets. This is a chance to join the organisation as we make major steps forward in leveraging the latest cloud and large-scale technologies to start bringing together the entire market to a unified platform. We are proud to be an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website What is your current situation/reason for your application? What is your desired salary? What is your notice period? What experience do you have of Geospatial data? Do you have experience of QGIS? or something tool (please identify)? Do you have experience of FME? or similar tool (please identify)? Do you have experience of coaching, mentoring & developing junior members of staff? If so, please give further detail. Are you eligible to work in the UK? Select Are you currently in the UK on a Visa? Select If yes, what type of Visa, and when does it expire? Will you require sponsorship? If successful in working for Landmark, we will carry out financial probity, fraud & basic disclosure checks. Do you have anything to declare? LIG Equal Employment Landmark Information Group (LIG) is committed to diversity and inclusion. The information below is required so that we can monitor the implementation of our equal opportunities policy. We review this data anonymously and separately from the rest of your application. It will not be used for any other purpose, and it will not be available to or accessed by those shortlisting or interviewing candidates. We would encourage you to complete it so that we can have a full picture of our recruitment patterns, and so that we can effectively measure and monitor candidates' experience throughout our recruitment process. Which gender do you identify with? Select Do you consider your gender identity to be different from your registered sex at birth? Select What is your sexual orientation? Select . click apply for full job details
Ready for a challenge? Then Just Eat might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role Please note that this role is located either in London (UK), Amsterdam (NL) or Enschede (NL), based on your location. Our hybrid policy is 3 days a week at the office and 2 days working from home. Are you a passionate and skilled Data Engineer looking to make a tangible impact in a fast-paced, global food delivery platform? Do you thrive on building robust self-serve analytics platforms and scalable data pipelines that power critical business decisions? If so, Just Eat is looking for a talented mid-level Data Engineer to join our dynamic Customer & Partner Care Product Analytics team in London (or Amsterdam or Enschede) ! As a Data Engineer, you will play a key role in designing, building, and maintaining our data infrastructure to support partner data sharing. You'll collaborate closely with Sales, Product, Analysts, and other Engineering teams to ensure the seamless flow and accessibility of high-quality data across the organisation. This is an exciting opportunity to contribute to a data-driven culture within a company that serves millions of customers worldwide. These are some of the key ingredients to the role: Design, build, and maintain a self-serve data visualization platform for partners, alongside scalable and reliable data pipelines. Develop and optimize data models and schemas to meet diverse analytical and operational requirements. Implement robust data quality checks and monitoring systems to ensure data accuracy and integrity. Collaborate with Sales, Analysts, and engineering teams to understand data needs, integrate new data sources, and ensure data availability. Contribute to the development and enforcement of data governance policies and standards, engaging with Infosec and DPO teams for compliance. Troubleshoot and resolve data-related issues promptly while staying current with emerging data engineering trends and technologies. Actively participate in code reviews and contribute to the continuous improvement of engineering practices. What will you bring to the table? Demonstrate expert-level proficiency with data visualization tools such as Looker, ThoughtSpot, or Tableau. Possess highly proficient SQL skills for querying and manipulating large, complex datasets. Exhibit strong experience with data warehousing concepts, ETL/ELT processes, and various database technologies. Show knowledge in a relevant data engineering programming language like Python, Bash, or Django. Hold practical experience working with major cloud platforms, including GCP, AWS, or Azure. Combine excellent problem-solving, analytical skills, and attention to detail with the ability to develop strategies that drive solutions to meet business needs. Leverage strong communication and collaboration skills to effectively convey technical concepts to diverse audiences, driven by a proactive and self-motivated passion for data and technology. Nice, not-mandatory plus would be: Good understanding of building and maintaining data pipelines using tools such as Airflow, Docker Knowledge of data governance and data quality frameworks. Experience working in an Agile development environment. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else are we delivering? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
Jul 01, 2025
Full time
Ready for a challenge? Then Just Eat might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role Please note that this role is located either in London (UK), Amsterdam (NL) or Enschede (NL), based on your location. Our hybrid policy is 3 days a week at the office and 2 days working from home. Are you a passionate and skilled Data Engineer looking to make a tangible impact in a fast-paced, global food delivery platform? Do you thrive on building robust self-serve analytics platforms and scalable data pipelines that power critical business decisions? If so, Just Eat is looking for a talented mid-level Data Engineer to join our dynamic Customer & Partner Care Product Analytics team in London (or Amsterdam or Enschede) ! As a Data Engineer, you will play a key role in designing, building, and maintaining our data infrastructure to support partner data sharing. You'll collaborate closely with Sales, Product, Analysts, and other Engineering teams to ensure the seamless flow and accessibility of high-quality data across the organisation. This is an exciting opportunity to contribute to a data-driven culture within a company that serves millions of customers worldwide. These are some of the key ingredients to the role: Design, build, and maintain a self-serve data visualization platform for partners, alongside scalable and reliable data pipelines. Develop and optimize data models and schemas to meet diverse analytical and operational requirements. Implement robust data quality checks and monitoring systems to ensure data accuracy and integrity. Collaborate with Sales, Analysts, and engineering teams to understand data needs, integrate new data sources, and ensure data availability. Contribute to the development and enforcement of data governance policies and standards, engaging with Infosec and DPO teams for compliance. Troubleshoot and resolve data-related issues promptly while staying current with emerging data engineering trends and technologies. Actively participate in code reviews and contribute to the continuous improvement of engineering practices. What will you bring to the table? Demonstrate expert-level proficiency with data visualization tools such as Looker, ThoughtSpot, or Tableau. Possess highly proficient SQL skills for querying and manipulating large, complex datasets. Exhibit strong experience with data warehousing concepts, ETL/ELT processes, and various database technologies. Show knowledge in a relevant data engineering programming language like Python, Bash, or Django. Hold practical experience working with major cloud platforms, including GCP, AWS, or Azure. Combine excellent problem-solving, analytical skills, and attention to detail with the ability to develop strategies that drive solutions to meet business needs. Leverage strong communication and collaboration skills to effectively convey technical concepts to diverse audiences, driven by a proactive and self-motivated passion for data and technology. Nice, not-mandatory plus would be: Good understanding of building and maintaining data pipelines using tools such as Airflow, Docker Knowledge of data governance and data quality frameworks. Experience working in an Agile development environment. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else are we delivering? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels. Are you ready to take your seat? Apply now!
HR Operations Specialist Closing the Trust Gap in E-commerce Location: Remote with hybrid option (2 days in Shoreditch office near Old Street) Salary: £65k (includes comprehensive benefits package) Our Mission: Fixing Trust in Commerce For a decade, we've been on a mission to close the Trust Gap-commerce's most expensive problem. In a world where distance and digital interfaces separate buyers and sellers, we're building the definitive trust infrastructure that enables global trade to flourish. We recognize that trust is not binary but a spectrum, and our work continually expands the boundaries of commerce itself. Each improvement we make enables transactions that previously wouldn't have happened, revealing new frontiers where trust can be further enhanced. Our Impact Today We've grown from an idea into the dominant force for trust in e-commerce: Shopify's Review Solution : We've earned over 29k five-star reviews from merchants who rely on us daily Global Scale : More than 500k shops across 140+ countries use our platform Massive Reach : We process over 70 million orders monthly, generating 2 million+ verified buyer reviews Organic Growth : We've achieved 40% year-over-year growth purely through word of mouth-no paid marketing or sales teams needed The Opportunity We're seeking an HR Operations Specialist who can architect and execute HR processes that operate with the precision and reliability of our engineering systems. This role demands a strategic technologist who will maximize AI and automation. We are a dynamic, technology-first company dedicated to building an exceptional product with the world's most talented Ruby engineers. Our lean operating model prioritizes automation, efficiency, and scalable systems that grow with our team. What Makes This Role Special You'll join at a critical transformation moment, reporting directly to the Head of Operations with full ownership of our HR technology stack and strategy. This is not a traditional people role, as our HR Operations Specialist, you will design, build, and optimize our human resources function and operate it like a well-engineered machine. You'll create systematic approaches to talent management, performance optimization, and organizational operations while maintaining our core values and vision. This role requires someone who thinks like an engineer but understands the human element of building and managing great teams. Core Responsibilities HR Systems Architecture Design, implement and operate scalable HR processes and workflows that minimize manual intervention Build and maintain automated systems for onboarding, performance tracking, and employee lifecycle management Create data-driven dashboards and metrics to monitor HR effectiveness and team health Establish standardized procedures that maintain consistency that allowing for scaling Performance Management Strategy Develop, execute and operate a comprehensive performance management framework aligned with engineering excellence principles Create objective, measurable criteria for evaluating talent and technical contributions Implement continuous feedback loops and performance optimization processes Design career progression frameworks that retain top talent and encourage skill development Ruby Engineering Talent Focus Partner with engineering leadership to understand technical requirements and skill gaps Develop and own specialized recruitment strategies for identifying and attracting exceptional Ruby developers Create technical assessment processes that accurately evaluate Ruby expertise and problem-solving abilities Build relationships with Ruby communities, conferences, and technical networks Operational Excellence Streamline HR operations through automation tools and integrated systems Maintain compliance with employment regulations while preserving operational agility Develop and maintain employee handbooks, policies, and procedures that reflect company values Create efficient reporting and analytics systems for leadership decision-making Culture and Values Ensure all HR processes and decisions align with company vision and core values Develop programs that strengthen team culture while maintaining our lean, results-focused approach Create systems for gathering and acting on employee feedback and engagement data Design recognition and retention programs that celebrate excellence and company contribution Key Metrics You'll Own Reduction in time-to-hire for Ruby engineering positions Improvement in employee satisfaction and retention rates Implementation of automated HR processes that scale with team growth Achievement of performance management goals and career development outcomes Maintenance of compliance while preserving operational agility What You'll Bring Must-Haves 3+ years of HR operations experience, preferably in technology companies Experience with HR information systems (HRIS), applicant tracking systems (ATS), and automation tools Strong analytical skills with ability to create meaningful metrics and reports Proficiency in data analysis and visualization tools Understanding of employment law and compliance requirements Familiarity with software engineering roles, particularly Ruby development Understanding of technical hiring practices and engineering team dynamics Experience with performance management in technical environments Knowledge of compensation structures for engineering talent Systems thinking with ability to design scalable, repeatable processes Strong project management skills with attention to detail and follow-through Excellent communication skills for working with technical and non-technical stakeholders Ability to work independently and make decisions in a fast-paced environment Commitment to continuous improvement and process optimization Nice-to-Haves Experience with AI tools Previous experience scaling HR operations in high-growth technology companies Certification in HR analytics or people operations Experience with modern HR tech stack (Slack integrations, API-driven tools, etc.) Background in building remote or distributed team processes Our Culture: Results-Driven Excellence We reward exceptional performance and are building a team that consistently pushes for better results. Success here means finding innovative ways to achieve more with our existing resources. We value time above all else-it's our scarcest resource. We budget time more strictly than money, establishing short feedback loops and breaking initiatives into their smallest units of value. Our international team brings diverse perspectives to every challenge. We believe in lifting each other up through active knowledge sharing because our collective strength determines our success. We combine ambitious goals with pragmatic execution, creating sustainable high performance through better processes, not longer hours. Your Package The Essentials £65K DOE + Monthly Performance Bonus 30 days holiday + bank holidays Private health insurance (Vitality) Brand new Macbook, access to equipment as required Financial Wellbeing + Salary Sacrifice Pension via Mintago Flexible Working Hybrid setup: 2 office days (Tues/Thurs), 3 remote Modern Shoreditch office near Old Street No overtime culture Casual dress code Work from Anywhere (4 weeks per year) Team Life Weekly team meals Quarterly events Perks at Work Account Join Us in Building the Future of Trust in Commerce Work on problems that impact millions while growing with a team that values both excellence and balance. Together, we'll close the Trust Gap and unlock new possibilities for global commerce.
Jul 01, 2025
Full time
HR Operations Specialist Closing the Trust Gap in E-commerce Location: Remote with hybrid option (2 days in Shoreditch office near Old Street) Salary: £65k (includes comprehensive benefits package) Our Mission: Fixing Trust in Commerce For a decade, we've been on a mission to close the Trust Gap-commerce's most expensive problem. In a world where distance and digital interfaces separate buyers and sellers, we're building the definitive trust infrastructure that enables global trade to flourish. We recognize that trust is not binary but a spectrum, and our work continually expands the boundaries of commerce itself. Each improvement we make enables transactions that previously wouldn't have happened, revealing new frontiers where trust can be further enhanced. Our Impact Today We've grown from an idea into the dominant force for trust in e-commerce: Shopify's Review Solution : We've earned over 29k five-star reviews from merchants who rely on us daily Global Scale : More than 500k shops across 140+ countries use our platform Massive Reach : We process over 70 million orders monthly, generating 2 million+ verified buyer reviews Organic Growth : We've achieved 40% year-over-year growth purely through word of mouth-no paid marketing or sales teams needed The Opportunity We're seeking an HR Operations Specialist who can architect and execute HR processes that operate with the precision and reliability of our engineering systems. This role demands a strategic technologist who will maximize AI and automation. We are a dynamic, technology-first company dedicated to building an exceptional product with the world's most talented Ruby engineers. Our lean operating model prioritizes automation, efficiency, and scalable systems that grow with our team. What Makes This Role Special You'll join at a critical transformation moment, reporting directly to the Head of Operations with full ownership of our HR technology stack and strategy. This is not a traditional people role, as our HR Operations Specialist, you will design, build, and optimize our human resources function and operate it like a well-engineered machine. You'll create systematic approaches to talent management, performance optimization, and organizational operations while maintaining our core values and vision. This role requires someone who thinks like an engineer but understands the human element of building and managing great teams. Core Responsibilities HR Systems Architecture Design, implement and operate scalable HR processes and workflows that minimize manual intervention Build and maintain automated systems for onboarding, performance tracking, and employee lifecycle management Create data-driven dashboards and metrics to monitor HR effectiveness and team health Establish standardized procedures that maintain consistency that allowing for scaling Performance Management Strategy Develop, execute and operate a comprehensive performance management framework aligned with engineering excellence principles Create objective, measurable criteria for evaluating talent and technical contributions Implement continuous feedback loops and performance optimization processes Design career progression frameworks that retain top talent and encourage skill development Ruby Engineering Talent Focus Partner with engineering leadership to understand technical requirements and skill gaps Develop and own specialized recruitment strategies for identifying and attracting exceptional Ruby developers Create technical assessment processes that accurately evaluate Ruby expertise and problem-solving abilities Build relationships with Ruby communities, conferences, and technical networks Operational Excellence Streamline HR operations through automation tools and integrated systems Maintain compliance with employment regulations while preserving operational agility Develop and maintain employee handbooks, policies, and procedures that reflect company values Create efficient reporting and analytics systems for leadership decision-making Culture and Values Ensure all HR processes and decisions align with company vision and core values Develop programs that strengthen team culture while maintaining our lean, results-focused approach Create systems for gathering and acting on employee feedback and engagement data Design recognition and retention programs that celebrate excellence and company contribution Key Metrics You'll Own Reduction in time-to-hire for Ruby engineering positions Improvement in employee satisfaction and retention rates Implementation of automated HR processes that scale with team growth Achievement of performance management goals and career development outcomes Maintenance of compliance while preserving operational agility What You'll Bring Must-Haves 3+ years of HR operations experience, preferably in technology companies Experience with HR information systems (HRIS), applicant tracking systems (ATS), and automation tools Strong analytical skills with ability to create meaningful metrics and reports Proficiency in data analysis and visualization tools Understanding of employment law and compliance requirements Familiarity with software engineering roles, particularly Ruby development Understanding of technical hiring practices and engineering team dynamics Experience with performance management in technical environments Knowledge of compensation structures for engineering talent Systems thinking with ability to design scalable, repeatable processes Strong project management skills with attention to detail and follow-through Excellent communication skills for working with technical and non-technical stakeholders Ability to work independently and make decisions in a fast-paced environment Commitment to continuous improvement and process optimization Nice-to-Haves Experience with AI tools Previous experience scaling HR operations in high-growth technology companies Certification in HR analytics or people operations Experience with modern HR tech stack (Slack integrations, API-driven tools, etc.) Background in building remote or distributed team processes Our Culture: Results-Driven Excellence We reward exceptional performance and are building a team that consistently pushes for better results. Success here means finding innovative ways to achieve more with our existing resources. We value time above all else-it's our scarcest resource. We budget time more strictly than money, establishing short feedback loops and breaking initiatives into their smallest units of value. Our international team brings diverse perspectives to every challenge. We believe in lifting each other up through active knowledge sharing because our collective strength determines our success. We combine ambitious goals with pragmatic execution, creating sustainable high performance through better processes, not longer hours. Your Package The Essentials £65K DOE + Monthly Performance Bonus 30 days holiday + bank holidays Private health insurance (Vitality) Brand new Macbook, access to equipment as required Financial Wellbeing + Salary Sacrifice Pension via Mintago Flexible Working Hybrid setup: 2 office days (Tues/Thurs), 3 remote Modern Shoreditch office near Old Street No overtime culture Casual dress code Work from Anywhere (4 weeks per year) Team Life Weekly team meals Quarterly events Perks at Work Account Join Us in Building the Future of Trust in Commerce Work on problems that impact millions while growing with a team that values both excellence and balance. Together, we'll close the Trust Gap and unlock new possibilities for global commerce.
The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in: Sponsored Products: the group will be responsible for growing Ads business through semantic matching of customer query to products, automated bidding for sellers, and matching Ads to customer videos on MiniTV. Personalisation: the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key Job Responsibilities You will be responsible for building a team of scientists who are experienced in taking an idea to reality - from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and experienced to develop a business plan as well as dive deep into the scientific and technical details of the technology your team is building. This team also publishes our research in the best venues internationally. As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval, and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning, and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Jul 01, 2025
Full time
The Amazon India ML team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in: Sponsored Products: the group will be responsible for growing Ads business through semantic matching of customer query to products, automated bidding for sellers, and matching Ads to customer videos on MiniTV. Personalisation: the group will be developing state-of-the-art ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India. Key Job Responsibilities You will be responsible for building a team of scientists who are experienced in taking an idea to reality - from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and experienced to develop a business plan as well as dive deep into the scientific and technical details of the technology your team is building. This team also publishes our research in the best venues internationally. As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that's higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders and have a demonstrated ability to think strategically about business, product, and technical challenges. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval, and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning, and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready for a challenge? Then Just Eat might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role We are seeking a seasoned Principal Engineer to lead the design, development, and evolution of our Observability Platform , ensuring it meets the needs of our rapidly scaling systems and engineering teams. This role will also focus on leveraging Machine Learning (ML) and Artificial Intelligence (AI) to deliver advanced insights that proactively improve system health and drive down Mean Time to Detection (MTTD) and Mean Time to Resolution (MTTR) . The ideal candidate will be a visionary technologist with deep expertise in observability, monitoring, and distributed systems, capable of driving strategy, architecture, and execution for a world-class platform. These are some of the key ingredients to the role: Platform Leadership Architect, design, and implement a cutting-edge Observability Platform to support metrics, logs, traces, and events at scale. Integrate ML/AI-driven solutions to enhance anomaly detection, root cause analysis, and predictive insights. Lead the development and adoption of platform capabilities to ensure system health, reliability, and performance. Establish and evolve platform standards and best practices to align with the company's overall engineering goals. Strategic Initiatives Collaborate with engineering teams to define the observability strategy, ensuring alignment with business and operational objectives. Identify and integrate the latest observability technologies, including AI-based analytics , to improve system insights and developer productivity. Drive a platform-first mindset, ensuring observability is treated as a foundational capability across all services. Implement real-time insights and proactive monitoring powered by AI/ML to reduce detection and resolution times. Operational Excellence Ensure the Observability Platform is highly available, performant, and secure across all environments. Optimize data collection, processing, and storage to balance performance with cost efficiency. Define SLAs, SLOs, and SLIs for observability services to support reliability engineering practices. Continuously improve MTTD and MTTR by leveraging advanced AI/ML models for predictive analysis and automated responses. Mentorship and Collaboration Act as a mentor and technical leader for engineers, fostering a culture of learning, innovation, and excellence. Collaborate with stakeholders, including Site Reliability Engineering (SRE), infrastructure, and application teams, to gather requirements and deliver impactful solutions. Advocate for observability as a critical enabler of operational success across the organization. What will you bring to the table? Extensive Engineering Experience: Proven experience in building and scaling observability platforms in a cloud-native environment. Observability Expertise: Deep understanding of observability pillars (metrics, logs, traces) and related tools (e.g., Prometheus, Grafana, OpenTelemetry, Jaeger, Kibana Elastic Stack). AI/ML Proficiency: Hands-on experience integrating ML/AI models into observability systems to drive advanced insights, anomaly detection, and predictive analysis. Distributed Systems Knowledge: Strong expertise in designing scalable and reliable systems for high-throughput data collection and processing. Programming Skills: Proficiency in one or more languages (e.g., Go, Python, Java, Terraform, Pulumi) with a focus on building robust platforms. Cloud Proficiency: Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and Infrastructure-as-Code tools (e.g., Terraform, Pulumi). Leadership and Mentorship: Experience leading and mentoring multicultural and cross functional, multicultural engineering teams, driving technical decisions, and delivering large-scale initiatives. Cost Optimization: Familiarity with strategies for managing the costs associated with observability data storage, processing, and analysis. Desirable Qualifications: Expertise in applying AI/ML for proactive alerting , root cause analysis, and predictive scaling. Experience with service mesh technologies (e.g., Istio, Linkerd) and their observability implications. Contributions to open-source observability or ML/AI projects. Proficiency with container technologies (Docker, Kubernetes) and best practices configurations their implications for observability and monitoring. Understanding of statistical analysis, data mining, and feature engineering techniques to extract meaningful insights from observability data. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.
Jul 01, 2025
Full time
Ready for a challenge? Then Just Eat might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role We are seeking a seasoned Principal Engineer to lead the design, development, and evolution of our Observability Platform , ensuring it meets the needs of our rapidly scaling systems and engineering teams. This role will also focus on leveraging Machine Learning (ML) and Artificial Intelligence (AI) to deliver advanced insights that proactively improve system health and drive down Mean Time to Detection (MTTD) and Mean Time to Resolution (MTTR) . The ideal candidate will be a visionary technologist with deep expertise in observability, monitoring, and distributed systems, capable of driving strategy, architecture, and execution for a world-class platform. These are some of the key ingredients to the role: Platform Leadership Architect, design, and implement a cutting-edge Observability Platform to support metrics, logs, traces, and events at scale. Integrate ML/AI-driven solutions to enhance anomaly detection, root cause analysis, and predictive insights. Lead the development and adoption of platform capabilities to ensure system health, reliability, and performance. Establish and evolve platform standards and best practices to align with the company's overall engineering goals. Strategic Initiatives Collaborate with engineering teams to define the observability strategy, ensuring alignment with business and operational objectives. Identify and integrate the latest observability technologies, including AI-based analytics , to improve system insights and developer productivity. Drive a platform-first mindset, ensuring observability is treated as a foundational capability across all services. Implement real-time insights and proactive monitoring powered by AI/ML to reduce detection and resolution times. Operational Excellence Ensure the Observability Platform is highly available, performant, and secure across all environments. Optimize data collection, processing, and storage to balance performance with cost efficiency. Define SLAs, SLOs, and SLIs for observability services to support reliability engineering practices. Continuously improve MTTD and MTTR by leveraging advanced AI/ML models for predictive analysis and automated responses. Mentorship and Collaboration Act as a mentor and technical leader for engineers, fostering a culture of learning, innovation, and excellence. Collaborate with stakeholders, including Site Reliability Engineering (SRE), infrastructure, and application teams, to gather requirements and deliver impactful solutions. Advocate for observability as a critical enabler of operational success across the organization. What will you bring to the table? Extensive Engineering Experience: Proven experience in building and scaling observability platforms in a cloud-native environment. Observability Expertise: Deep understanding of observability pillars (metrics, logs, traces) and related tools (e.g., Prometheus, Grafana, OpenTelemetry, Jaeger, Kibana Elastic Stack). AI/ML Proficiency: Hands-on experience integrating ML/AI models into observability systems to drive advanced insights, anomaly detection, and predictive analysis. Distributed Systems Knowledge: Strong expertise in designing scalable and reliable systems for high-throughput data collection and processing. Programming Skills: Proficiency in one or more languages (e.g., Go, Python, Java, Terraform, Pulumi) with a focus on building robust platforms. Cloud Proficiency: Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and Infrastructure-as-Code tools (e.g., Terraform, Pulumi). Leadership and Mentorship: Experience leading and mentoring multicultural and cross functional, multicultural engineering teams, driving technical decisions, and delivering large-scale initiatives. Cost Optimization: Familiarity with strategies for managing the costs associated with observability data storage, processing, and analysis. Desirable Qualifications: Expertise in applying AI/ML for proactive alerting , root cause analysis, and predictive scaling. Experience with service mesh technologies (e.g., Istio, Linkerd) and their observability implications. Contributions to open-source observability or ML/AI projects. Proficiency with container technologies (Docker, Kubernetes) and best practices configurations their implications for observability and monitoring. Understanding of statistical analysis, data mining, and feature engineering techniques to extract meaningful insights from observability data. At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else is cooking? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.
STRATEGIC RESOURCES EUROPEAN RECRUITMENT CONSULTANTS LTD
Aberdeen, Aberdeenshire
SENIOR DATA ENGINEER Our Client, Aberdeen based Oil and Gas Operator is seeking a Senior Data Engineer to join their Aberdeen team on a Permanent staff basis. Azure Data factory/Data Lake, PySpark are essential skills for this role. RESPONSIBILITIES Supporting Data Platform Program: Collaborate with cross-functional teams to maintain and enhance our modern data platform, leveraging your expertise in Synapse and data engineering techniques. Analyse, Model and Organise Data: Work with a range of stakeholders and business users to understand the use and utility of datasets and systems to then analyse, model and organise data from their respective source data systems into the medallion data lake for further use in reporting. Ensure data quality and data reliability: Drive improvements in data quality assessments, and ensure that data is processed effectively, efficiently, robustly and timely. Maintaining Data Governance: Ensuring that data governance policies and procedures are followed, and that data lineage and cataloguing is maintained for data discoverability Deliver Business Insights: Support and deliver business insight, intelligence and predictive analytics reporting which creates real business value Performance Management: Looking at wider trends across the data processing infrastructure to identify improvements. Project Scoping and Management: Defining project scopes and timelines for delivery of a variety of projects, in collaboration with the Digital Technology Partners and the Data and Analytics Lead. Data Governance: Working with the Data and Analytics Lead to improve Data Governance policies and procedures and its enforcement across the data estate QUALIFICATIONS & EXPERIENCE Appropriate professional qualification or equivalent experience Proven competency working with data warehousing, ETL/ELT, integration tools and business intelligence solutions that will help to deliver the data and analytics strategy. Skills with Synapse (notebooks and data flows) is essential for Senior Data Engineer. Working knowledge of PySpark is essential for Senior Data Engineer Capability working with Azure Data Lake Storage is essential for Senior Data Engineer Working knowledge of medallion data Lake house architecture is essential for Senior Data Engineer Strong background in data analytics, with a focus on data transformation and modelling. Competency of Master Data Management principles and implementations is essential for Senior Data Engineer Oil & Gas industry exposure is not required; however, a passion for working with data is a must. Familiarity with Power BI is desirable but not essential.
Jul 01, 2025
Full time
SENIOR DATA ENGINEER Our Client, Aberdeen based Oil and Gas Operator is seeking a Senior Data Engineer to join their Aberdeen team on a Permanent staff basis. Azure Data factory/Data Lake, PySpark are essential skills for this role. RESPONSIBILITIES Supporting Data Platform Program: Collaborate with cross-functional teams to maintain and enhance our modern data platform, leveraging your expertise in Synapse and data engineering techniques. Analyse, Model and Organise Data: Work with a range of stakeholders and business users to understand the use and utility of datasets and systems to then analyse, model and organise data from their respective source data systems into the medallion data lake for further use in reporting. Ensure data quality and data reliability: Drive improvements in data quality assessments, and ensure that data is processed effectively, efficiently, robustly and timely. Maintaining Data Governance: Ensuring that data governance policies and procedures are followed, and that data lineage and cataloguing is maintained for data discoverability Deliver Business Insights: Support and deliver business insight, intelligence and predictive analytics reporting which creates real business value Performance Management: Looking at wider trends across the data processing infrastructure to identify improvements. Project Scoping and Management: Defining project scopes and timelines for delivery of a variety of projects, in collaboration with the Digital Technology Partners and the Data and Analytics Lead. Data Governance: Working with the Data and Analytics Lead to improve Data Governance policies and procedures and its enforcement across the data estate QUALIFICATIONS & EXPERIENCE Appropriate professional qualification or equivalent experience Proven competency working with data warehousing, ETL/ELT, integration tools and business intelligence solutions that will help to deliver the data and analytics strategy. Skills with Synapse (notebooks and data flows) is essential for Senior Data Engineer. Working knowledge of PySpark is essential for Senior Data Engineer Capability working with Azure Data Lake Storage is essential for Senior Data Engineer Working knowledge of medallion data Lake house architecture is essential for Senior Data Engineer Strong background in data analytics, with a focus on data transformation and modelling. Competency of Master Data Management principles and implementations is essential for Senior Data Engineer Oil & Gas industry exposure is not required; however, a passion for working with data is a must. Familiarity with Power BI is desirable but not essential.
