Company Description Life can sometimes be unpredictable, and it pays to plan ahead. Our aim at Legal & General Retail is to help our customers plan for the unexpected, achieve financial security for their tomorrow, and protect everything that's important to them. To better understand our customers and meet their needs, we've brought our protection, retirement income, savings, lending and advice, fintech and mortgage businesses under one umbrella. Created at the start of 2022 through the merging of our long-standing and trusted retail retirement and insurance businesses, we're a fast-growing division with big, customer-centred ambitions. Job Description Legal and General Retail's Data Operations team are currently hiring three Lead Data Engineers following the merger of internal divisions resulting in them expanding into a new area. These positions are to focus on the retirements side of the Retail division and will build out new data pipelines utilising tools such as Synapse, DBT, Azure Devops and Snowflake. This role will see you responsible for designing, building, and implementing a variety of data solutions using modern ETL techniques and tools and you will be driving projects forward while serving as a mentor and coach to junior members of the team. What you will be doing Ensuring the solutions developed and deployed are fit for purpose and GDPR compliant, meeting the business requirements, adhering to quality standards, and delivering the intended value. Ensuring all developments delivered follow the agreed standards and release management processes. Taking responsibility for evolving these standards in an environment of continuous change facilitating team sessions that seek to improve them and keep them current & compliant. Identifying issues and risks with the solutions created and leading their resolution while providing support to colleagues in your team as required. Providing input into team and project planning activities and work within an agile delivery framework as part of a Scrum team. Facilitating the refinement of the tasks in the Product Backlog and guide and support your team as you break deliveries down into technical data engineering components. Converting user stories in to technical, quality, testing and documentation tasks in the chosen work-flow management tool. Liaising with the end customers, Architect & Product Owner to translate business goals into compliant specifications that facilitate the delivery of the technical solution and can be used by any engineer. Participating in high level epic refinement sessions with the Scrum Team, ensuring that they are understood and achievable by the engineering team. Provide mentorship and support to junior and mid-level data engineers in your team and acting as a role model to colleagues across the Data Ops function. Qualifications Relevant professional qualifications in Data Engineering or related specialism Industry recognised badges/certificates on any of the following tools: Snowflake, Azure Synapse/Data Factory, DBT Cloud, Azure DevOps Industry recognised badges/certificates on any of the following methodologies: Scrum/Kanban, DevOps/DataOps, Dimensional Data Modelling (Kimball) Additional Information The brand with the brolly is choosing today to change tomorrow. Since 1836, we've grown to become one of the world's largest asset managers, homebuilders, pension providers and insurance brands. We're all here to improve the lives of our customers, build a better society for the long term, and create value for our shareholders - helping to shape a better future for society and the planet. We need people who share our ambitions, agility and entrepreneurial spirit to help us do it. At L&G, you'll find a balance that helps you be your best. Empowered by hybrid working, we're supported by technology and workplaces that enable us to work effectively wherever we are. We come together in offices to collaborate and connect, and use time at home for individual, focused activities. And, when we achieve great things, we celebrate our success and reward strong performance. Today, there's over 10,000 of us, working towards our mission, with plenty of opportunities to grow your career as we grow L&G. Will you join us? Great minds don't have to think alike, so we welcome voices from all backgrounds. Bringing together people with different life experiences helps us build empathy with our customers and drive innovation. We don't just talk about it, we actively promote diversity and equitable opportunities for all. That means our employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability or protected veteran status. In fact, we embrace every dimension of diversity to reflect the customers and communities we serve. We think it's important to create an inclusive environment where we can all belong, contribute and drive progress, where you can develop and grow, and be empowered. We want you to use your voice to help us build a better tomorrow. We all work differently, and have different needs, which is why. we're always open to discussing flexible working arrangements. Likewise, we're committed to finding reasonable accommodations for candidates with specific needs during our recruiting process. So whoever you are, wherever you are, whatever your story, we'd love to hear from you.
Mar 28, 2024
Full time
Company Description Life can sometimes be unpredictable, and it pays to plan ahead. Our aim at Legal & General Retail is to help our customers plan for the unexpected, achieve financial security for their tomorrow, and protect everything that's important to them. To better understand our customers and meet their needs, we've brought our protection, retirement income, savings, lending and advice, fintech and mortgage businesses under one umbrella. Created at the start of 2022 through the merging of our long-standing and trusted retail retirement and insurance businesses, we're a fast-growing division with big, customer-centred ambitions. Job Description Legal and General Retail's Data Operations team are currently hiring three Lead Data Engineers following the merger of internal divisions resulting in them expanding into a new area. These positions are to focus on the retirements side of the Retail division and will build out new data pipelines utilising tools such as Synapse, DBT, Azure Devops and Snowflake. This role will see you responsible for designing, building, and implementing a variety of data solutions using modern ETL techniques and tools and you will be driving projects forward while serving as a mentor and coach to junior members of the team. What you will be doing Ensuring the solutions developed and deployed are fit for purpose and GDPR compliant, meeting the business requirements, adhering to quality standards, and delivering the intended value. Ensuring all developments delivered follow the agreed standards and release management processes. Taking responsibility for evolving these standards in an environment of continuous change facilitating team sessions that seek to improve them and keep them current & compliant. Identifying issues and risks with the solutions created and leading their resolution while providing support to colleagues in your team as required. Providing input into team and project planning activities and work within an agile delivery framework as part of a Scrum team. Facilitating the refinement of the tasks in the Product Backlog and guide and support your team as you break deliveries down into technical data engineering components. Converting user stories in to technical, quality, testing and documentation tasks in the chosen work-flow management tool. Liaising with the end customers, Architect & Product Owner to translate business goals into compliant specifications that facilitate the delivery of the technical solution and can be used by any engineer. Participating in high level epic refinement sessions with the Scrum Team, ensuring that they are understood and achievable by the engineering team. Provide mentorship and support to junior and mid-level data engineers in your team and acting as a role model to colleagues across the Data Ops function. Qualifications Relevant professional qualifications in Data Engineering or related specialism Industry recognised badges/certificates on any of the following tools: Snowflake, Azure Synapse/Data Factory, DBT Cloud, Azure DevOps Industry recognised badges/certificates on any of the following methodologies: Scrum/Kanban, DevOps/DataOps, Dimensional Data Modelling (Kimball) Additional Information The brand with the brolly is choosing today to change tomorrow. Since 1836, we've grown to become one of the world's largest asset managers, homebuilders, pension providers and insurance brands. We're all here to improve the lives of our customers, build a better society for the long term, and create value for our shareholders - helping to shape a better future for society and the planet. We need people who share our ambitions, agility and entrepreneurial spirit to help us do it. At L&G, you'll find a balance that helps you be your best. Empowered by hybrid working, we're supported by technology and workplaces that enable us to work effectively wherever we are. We come together in offices to collaborate and connect, and use time at home for individual, focused activities. And, when we achieve great things, we celebrate our success and reward strong performance. Today, there's over 10,000 of us, working towards our mission, with plenty of opportunities to grow your career as we grow L&G. Will you join us? Great minds don't have to think alike, so we welcome voices from all backgrounds. Bringing together people with different life experiences helps us build empathy with our customers and drive innovation. We don't just talk about it, we actively promote diversity and equitable opportunities for all. That means our employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability or protected veteran status. In fact, we embrace every dimension of diversity to reflect the customers and communities we serve. We think it's important to create an inclusive environment where we can all belong, contribute and drive progress, where you can develop and grow, and be empowered. We want you to use your voice to help us build a better tomorrow. We all work differently, and have different needs, which is why. we're always open to discussing flexible working arrangements. Likewise, we're committed to finding reasonable accommodations for candidates with specific needs during our recruiting process. So whoever you are, wherever you are, whatever your story, we'd love to hear from you.
The Role: Overview: We're looking for an experienced Product Manager for Neo4j's AI platform. This is an opportunity to evolve the fast-growing GenAI and data science product offerings that users love, in a space that promises to be one of the most impactful categories in technology today. As a Product Manager for Neo4j, you will work with a global team in Europe and the US to lead and accelerate the growth of Neo4j as the company evolves its broader product and solution offering. Responsibilities: Working within the GenAI and Graph Data Science product teams to understand the needs and requirements of existing customers, prospects, and community users Working closely with the engineering team to provide an end-to-end delightful experience for developers, data scientists, data engineers, and machine learning engineers working on graph technology for AI applications. This includes integrations with the broader ecosystem of cloud service providers, Snowflake, LangChain, Llamaindex, Databricks, and others Understanding and improving deployment patterns to bring Graph AI and Graph Data Science to the cloud Collaborating with product managers in the adjoining database and Neo4j Aura product teams on product vision, roadmap creation, and execution to deliver new functionality and capabilities Helping Engineering to understand not only the user requirements but the business reason underlying the requirements and their relative priority Conducting market research into AI platforms to understand differentiating features and potential liabilities Up to 20% travel expected Key Skills and Experience: Solid understanding of cloud service platforms and their related offerings in GenAI, data science, and machine learning to understand integration points and how to build cloud-native analytics solutions Familiarity with enterprise data volumes and production workloads Experience with cloud architectures and modern data science programming (ex. Python) Strong communication skills, ability to synthesize divergent inputs into requirements Minimum 3 years working in product management or a similar role Experience some of the following types of technology: Spark, Databricks, Snowflake, AWS, Azure, OpenAI, LangChain, Arrow, AutoML products (H20.ai, Dataiku, MLFlow, DataRobot, SageMaker), and NoSQL databases. (not all required) Experience working across time zones and with remote teams preferred
Mar 17, 2024
Full time
The Role: Overview: We're looking for an experienced Product Manager for Neo4j's AI platform. This is an opportunity to evolve the fast-growing GenAI and data science product offerings that users love, in a space that promises to be one of the most impactful categories in technology today. As a Product Manager for Neo4j, you will work with a global team in Europe and the US to lead and accelerate the growth of Neo4j as the company evolves its broader product and solution offering. Responsibilities: Working within the GenAI and Graph Data Science product teams to understand the needs and requirements of existing customers, prospects, and community users Working closely with the engineering team to provide an end-to-end delightful experience for developers, data scientists, data engineers, and machine learning engineers working on graph technology for AI applications. This includes integrations with the broader ecosystem of cloud service providers, Snowflake, LangChain, Llamaindex, Databricks, and others Understanding and improving deployment patterns to bring Graph AI and Graph Data Science to the cloud Collaborating with product managers in the adjoining database and Neo4j Aura product teams on product vision, roadmap creation, and execution to deliver new functionality and capabilities Helping Engineering to understand not only the user requirements but the business reason underlying the requirements and their relative priority Conducting market research into AI platforms to understand differentiating features and potential liabilities Up to 20% travel expected Key Skills and Experience: Solid understanding of cloud service platforms and their related offerings in GenAI, data science, and machine learning to understand integration points and how to build cloud-native analytics solutions Familiarity with enterprise data volumes and production workloads Experience with cloud architectures and modern data science programming (ex. Python) Strong communication skills, ability to synthesize divergent inputs into requirements Minimum 3 years working in product management or a similar role Experience some of the following types of technology: Spark, Databricks, Snowflake, AWS, Azure, OpenAI, LangChain, Arrow, AutoML products (H20.ai, Dataiku, MLFlow, DataRobot, SageMaker), and NoSQL databases. (not all required) Experience working across time zones and with remote teams preferred
Dr. Martens is a globally recognisable and culturally influential British brand, with over 60 years of rich heritage. As brand custodians, we are lucky to work for a dynamic, thriving, and ethical business, with people from diverse backgrounds, who bring their true selves to work, and where anyone can grow their career. We are guided by three core values that are at the heart of everything we do: be yourself , act courageously , and show you care . They make us who we are and inspire us to push boundaries, embrace our individuality, and stand up for what's right. THE GIG The Data & Analytics (D&A) Team has set the vision "To make every DM decision better with data" and is embarking on a transformational journey to "Execute faster in creating trust, access and value globally from all our data to empower our colleagues to stride forwards". It is an exciting time to join the D&A team, with the opportunity to both set and guide the team and DM's strategic direction. As our Data Architect, you will be at the forefront of the team working on the design of the data ecosystem with a real focus on the data warehouse. We are Still in the early phases of our Data transformation journey, so you will get the opportunity to making fundamental changes through the design of our semantic data layers and implementation of a modern data ecosystem that underpins DMs bold growth ambitions. You will work closely with the broader business, supporting, challenging, and championing data and analytics for better decision making. Key Responsibilities: Capturing data, reporting and analytical requirements via interviews with the business teams for designing the data warehouse including business facing data models and the underlying semantic layers. Working closely with current data owners, analysts, business users etc. within specific business domains to understand usage patterns, questions they want to ask and the insights they want to derive and suggest the best way to organise/grouping the data for querying and analysis. Translating the above requirements into designing data models at conceptual, logical and physical levels for the business teams to validate and for data engineering to consume and build iteratively on it. Working on key strategic projects that are undergoing changes within the operational system landscape (eg. Supply chain, order management, product etc.) to review the proposed changes, and assess the impact on the data analytics environment. Working closely with the data engineering, reporting and analytics functions to guide and support them with high- and low-level design changes and approach to have business continuity on the back of upstream source system changes. Creating and maintaining high- and low-level data warehouse architecture diagrams and artefacts that map the source system data to the data warehouse, data flows and the different data layers and entities within the data warehouse. Being a strong advocate of good data modelling and data architecture principles and finding ways to educate, review and improve on how we model and govern our data assets and its usage. Ensure data governance, privacy and protection principles are embedded within data architecture framework and its implementation within the semantic and presentation layers. THE STUFF THAT SETS YOU APART Strong proven knowledge of data modelling for building data warehouse assets including semantic data layers, data marts, single customer views etc. Strong proven knowledge of Kimball/Dimensional data modelling and/or Data vault modelling techniques. Hands-on SQL, database querying skills on cloud-based data warehouses like Snowflake, BigQuery etc. Experience with data governance and/or cataloguing tools like Atlan, Informatica, Collibra or similar platforms. Knowledge and/or skills with Python, API's, DataOps, and Cloud based data services on Azure or other cloud providers. Excellent analytical and problem-solving skills with attention to detail. Self-driven and comfortable working autonomously. Curious about and having the aptitude to learn new technologies. Excellent written, verbal, and interpersonal skills with the ability to communicate ideas, concepts, and solutions to peers and leaders. YOUR FUNDAMENTAL QUALITIES It's never just a job at Dr. Martens. It's a way of life. We live and breathe our Fundamentals - INTEGRITY. PROFESSIONAL. PASSIONATE. TEAM PLAYERS. They define who we are and how we get the job done. We believe each role is as unique as the person who does it. Your technical capability will go hand in hand with:c Great relationship management that delivers results through effective teamwork You'll be a proud custodian to our DM's culture, embodying what we stand for and encouraging others to do the same. You will bring the outside-in; you'll share best practice across the team / business and encourage idea sharing as well as collaborative problem solving WHAT'S IN IT FOR YOU? Welcome to the family free pair of docs 65% off all docs A dedicated culture team focusing on wellness and charity. 2 paid volunteer days per year 4.30pm Friday finish Amazing Camden based offices with roof terrace overlooking the canal Private healthcare Are you ready to fill your boots? Apply now. At Dr. Martens, we are committed to creating an environment in which we can all be our best and bring our authentic selves to work. We encourage applications, regardless of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, or disability. Diverse and inclusive teams have a positive impact on our brand; helping us to speak authentically to our consumers. We strive to develop a business where our people can thrive and feel empowered to express themselves. Because we believe everyone should feel supported and included whatever their role in the Dr. Martens community. Want to know more about working at Dr. Martens? Click here ! Want to know more about working at Dr. Martens?
Mar 10, 2024
Full time
Dr. Martens is a globally recognisable and culturally influential British brand, with over 60 years of rich heritage. As brand custodians, we are lucky to work for a dynamic, thriving, and ethical business, with people from diverse backgrounds, who bring their true selves to work, and where anyone can grow their career. We are guided by three core values that are at the heart of everything we do: be yourself , act courageously , and show you care . They make us who we are and inspire us to push boundaries, embrace our individuality, and stand up for what's right. THE GIG The Data & Analytics (D&A) Team has set the vision "To make every DM decision better with data" and is embarking on a transformational journey to "Execute faster in creating trust, access and value globally from all our data to empower our colleagues to stride forwards". It is an exciting time to join the D&A team, with the opportunity to both set and guide the team and DM's strategic direction. As our Data Architect, you will be at the forefront of the team working on the design of the data ecosystem with a real focus on the data warehouse. We are Still in the early phases of our Data transformation journey, so you will get the opportunity to making fundamental changes through the design of our semantic data layers and implementation of a modern data ecosystem that underpins DMs bold growth ambitions. You will work closely with the broader business, supporting, challenging, and championing data and analytics for better decision making. Key Responsibilities: Capturing data, reporting and analytical requirements via interviews with the business teams for designing the data warehouse including business facing data models and the underlying semantic layers. Working closely with current data owners, analysts, business users etc. within specific business domains to understand usage patterns, questions they want to ask and the insights they want to derive and suggest the best way to organise/grouping the data for querying and analysis. Translating the above requirements into designing data models at conceptual, logical and physical levels for the business teams to validate and for data engineering to consume and build iteratively on it. Working on key strategic projects that are undergoing changes within the operational system landscape (eg. Supply chain, order management, product etc.) to review the proposed changes, and assess the impact on the data analytics environment. Working closely with the data engineering, reporting and analytics functions to guide and support them with high- and low-level design changes and approach to have business continuity on the back of upstream source system changes. Creating and maintaining high- and low-level data warehouse architecture diagrams and artefacts that map the source system data to the data warehouse, data flows and the different data layers and entities within the data warehouse. Being a strong advocate of good data modelling and data architecture principles and finding ways to educate, review and improve on how we model and govern our data assets and its usage. Ensure data governance, privacy and protection principles are embedded within data architecture framework and its implementation within the semantic and presentation layers. THE STUFF THAT SETS YOU APART Strong proven knowledge of data modelling for building data warehouse assets including semantic data layers, data marts, single customer views etc. Strong proven knowledge of Kimball/Dimensional data modelling and/or Data vault modelling techniques. Hands-on SQL, database querying skills on cloud-based data warehouses like Snowflake, BigQuery etc. Experience with data governance and/or cataloguing tools like Atlan, Informatica, Collibra or similar platforms. Knowledge and/or skills with Python, API's, DataOps, and Cloud based data services on Azure or other cloud providers. Excellent analytical and problem-solving skills with attention to detail. Self-driven and comfortable working autonomously. Curious about and having the aptitude to learn new technologies. Excellent written, verbal, and interpersonal skills with the ability to communicate ideas, concepts, and solutions to peers and leaders. YOUR FUNDAMENTAL QUALITIES It's never just a job at Dr. Martens. It's a way of life. We live and breathe our Fundamentals - INTEGRITY. PROFESSIONAL. PASSIONATE. TEAM PLAYERS. They define who we are and how we get the job done. We believe each role is as unique as the person who does it. Your technical capability will go hand in hand with:c Great relationship management that delivers results through effective teamwork You'll be a proud custodian to our DM's culture, embodying what we stand for and encouraging others to do the same. You will bring the outside-in; you'll share best practice across the team / business and encourage idea sharing as well as collaborative problem solving WHAT'S IN IT FOR YOU? Welcome to the family free pair of docs 65% off all docs A dedicated culture team focusing on wellness and charity. 2 paid volunteer days per year 4.30pm Friday finish Amazing Camden based offices with roof terrace overlooking the canal Private healthcare Are you ready to fill your boots? Apply now. At Dr. Martens, we are committed to creating an environment in which we can all be our best and bring our authentic selves to work. We encourage applications, regardless of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, or disability. Diverse and inclusive teams have a positive impact on our brand; helping us to speak authentically to our consumers. We strive to develop a business where our people can thrive and feel empowered to express themselves. Because we believe everyone should feel supported and included whatever their role in the Dr. Martens community. Want to know more about working at Dr. Martens? Click here ! Want to know more about working at Dr. Martens?
Sales Engineer - Developed Vetting Are you an experienced solutions focused sales engineer or pre-sales consultant with a passion for data privacy and security? A cutting-edge startup client of ours with existing relationships within the UK Intelligence Community, is seeking an experienced Sales Engineer with cloud software industry expertise and UK eDV security clearance. With Machine Learning, Encryption and Big Data tools and techniques, this firm have solved a critical privacy issue that will benefit National Security and Intellegince clients across the world. This is a high-profile role within an enormously exciting business whose product is at the forefront of communications for a variety of impactful geopolitical programmes of work. You will have the opportunity to engage with prospects and clients within Defence and Intelligence, delivering product presentations and collaborating with internal experts to devise client solutions. You will play a key role in leading pre-sales activities and managing RFPs/RFIs, showcasing features and benefits to address customer needs and most importantly, deploying for the client. To be successful in this role, you will need 5+ years of experience in a client-facing role within the enterprise software industries, as well as a UK eDV security clearance. Experience selling into MOD, IC or HMRC and a B.Sc. in Computer Science or Software Engineering. Key requirements: Must have Enhanced DV. Demonstrable Stakeholder engagement (IC, MOD or HMRC exposure a must). Ability to translate technical challenges and requirements. A strong understanding of Solution Architecture. Cloud services knowledge: AWS, GCP, Azure would be beneficial Any prior experience with Data management or tooling hugely beneficia (Data Lakes, Snowflake or Databricks). Experience working closely with engineering teams (particularly those working on Machine Learning and Cryptography products). Ability to deliver product presentations, and showcase software whilst leading pre-sales activities. Product experience with privacy-enhancing technologies, data analysis, data management, and machine learning techniques are needed, as well as experience supporting senior audiences within government and consultative selling of B2B software. In return, you will have the opportunity to work with world leaders in the fields of data science and cryptography, as well as the chance to contribute to our mission of enabling organizations to collaborate on sensitive data while protecting data privacy, confidentiality, and regulatory compliance. If you are ready to take the next step in your career and join a dynamic and innovative team, apply now to become a part of an exceptional team.
Jan 27, 2024
Full time
Sales Engineer - Developed Vetting Are you an experienced solutions focused sales engineer or pre-sales consultant with a passion for data privacy and security? A cutting-edge startup client of ours with existing relationships within the UK Intelligence Community, is seeking an experienced Sales Engineer with cloud software industry expertise and UK eDV security clearance. With Machine Learning, Encryption and Big Data tools and techniques, this firm have solved a critical privacy issue that will benefit National Security and Intellegince clients across the world. This is a high-profile role within an enormously exciting business whose product is at the forefront of communications for a variety of impactful geopolitical programmes of work. You will have the opportunity to engage with prospects and clients within Defence and Intelligence, delivering product presentations and collaborating with internal experts to devise client solutions. You will play a key role in leading pre-sales activities and managing RFPs/RFIs, showcasing features and benefits to address customer needs and most importantly, deploying for the client. To be successful in this role, you will need 5+ years of experience in a client-facing role within the enterprise software industries, as well as a UK eDV security clearance. Experience selling into MOD, IC or HMRC and a B.Sc. in Computer Science or Software Engineering. Key requirements: Must have Enhanced DV. Demonstrable Stakeholder engagement (IC, MOD or HMRC exposure a must). Ability to translate technical challenges and requirements. A strong understanding of Solution Architecture. Cloud services knowledge: AWS, GCP, Azure would be beneficial Any prior experience with Data management or tooling hugely beneficia (Data Lakes, Snowflake or Databricks). Experience working closely with engineering teams (particularly those working on Machine Learning and Cryptography products). Ability to deliver product presentations, and showcase software whilst leading pre-sales activities. Product experience with privacy-enhancing technologies, data analysis, data management, and machine learning techniques are needed, as well as experience supporting senior audiences within government and consultative selling of B2B software. In return, you will have the opportunity to work with world leaders in the fields of data science and cryptography, as well as the chance to contribute to our mission of enabling organizations to collaborate on sensitive data while protecting data privacy, confidentiality, and regulatory compliance. If you are ready to take the next step in your career and join a dynamic and innovative team, apply now to become a part of an exceptional team.
Data Engineer/SQL/Azure/AWS/GCP/Data Integration/SSIS £70,000 plus bonus, plus benefits Hybrid/Remote - 1-2 days per week in City of London, Monument. A Data Engineer with at least 5 years of experience is required by global commercial insurance Broker to develop an effective data analytics and reporting architecture capable of meeting a wide range of needs. The role will involve * Develop the architecture, tools, procedures and methods employed in the operating environment in line with technical advances and business requirements * Assist in the design of the data warehouse, integrating data from various sources to deliver value to the business * Deal with complex data, source and target tables mappings, load process, transformation, reconciliation, error handling, physical and logical data dimensional modelling * Assist in the construction and optimisation of the cloud based data platform * Create solutions in response to data requirements (Data quality, Data mapping, Metadata management, Migration and Reporting solutions) * Ensure that developments are carried out in accordance with established Company IT procedures and standards. Participate in the establishment of development procedures and standards * Take responsibility for the support and maintenance of existing applications and systems as assigned * Participate in the process of selecting the solution most appropriate to the stated business requirements * Perform assigned responsibilities as delegated by more senior members of the department * Adhere to and meet fully the expectations, as set out in its policies and procedures, training material, and Embedded in its systems and controls. Our policies and procedures are written to encapsulate the compliance, legal and financial crime related legislation and regulations which apply * Comply with any external rules and requirements imposed on individuals performing their role such as Lloyd's byelaws and FCA rules Applicants should have: Advanced SQL - essential Cloud platfroms (AWS, AZUre, GCP) - essential Data integration tollls such as Azure Data Factory, SSIS, Informatica or similar - essential Star schema modelling - essential Power BI - desirable Snowflake - desirable Seniority Level Mid level Industry Staffing and Recruiting Employment Type Full-time Job Functions Analyst
Dec 19, 2022
Full time
Data Engineer/SQL/Azure/AWS/GCP/Data Integration/SSIS £70,000 plus bonus, plus benefits Hybrid/Remote - 1-2 days per week in City of London, Monument. A Data Engineer with at least 5 years of experience is required by global commercial insurance Broker to develop an effective data analytics and reporting architecture capable of meeting a wide range of needs. The role will involve * Develop the architecture, tools, procedures and methods employed in the operating environment in line with technical advances and business requirements * Assist in the design of the data warehouse, integrating data from various sources to deliver value to the business * Deal with complex data, source and target tables mappings, load process, transformation, reconciliation, error handling, physical and logical data dimensional modelling * Assist in the construction and optimisation of the cloud based data platform * Create solutions in response to data requirements (Data quality, Data mapping, Metadata management, Migration and Reporting solutions) * Ensure that developments are carried out in accordance with established Company IT procedures and standards. Participate in the establishment of development procedures and standards * Take responsibility for the support and maintenance of existing applications and systems as assigned * Participate in the process of selecting the solution most appropriate to the stated business requirements * Perform assigned responsibilities as delegated by more senior members of the department * Adhere to and meet fully the expectations, as set out in its policies and procedures, training material, and Embedded in its systems and controls. Our policies and procedures are written to encapsulate the compliance, legal and financial crime related legislation and regulations which apply * Comply with any external rules and requirements imposed on individuals performing their role such as Lloyd's byelaws and FCA rules Applicants should have: Advanced SQL - essential Cloud platfroms (AWS, AZUre, GCP) - essential Data integration tollls such as Azure Data Factory, SSIS, Informatica or similar - essential Star schema modelling - essential Power BI - desirable Snowflake - desirable Seniority Level Mid level Industry Staffing and Recruiting Employment Type Full-time Job Functions Analyst
Spectrum IT Recruitment (South) Ltd
Stafford, Staffordshire
Data Migration Engineer - £35,000 - £45,000 - Stafford (12 month FTC) Data Migration Engineer required by a company based in Stafford, West Midlands. Following a recent merger of 3 companies, they are looking to combine multiple systems and therefore recruiting a Data Migration Engineer to help with this. The Data Migration Engineer will work in a small team on a 12-month fixed term contract, with the hope of being able to offer a permanent position at the end of the contract. The company operate on a hybrid model involving 1 day a week in the office. Skills required: SQL Migrations 1+ years' experience in a similar role Datamodelling Understanding of Data Warehouse strategies Power BI would be extremely advantageous but is not essential. Knowledge of Cloud platforms would also be advantageous: AWS, GCP, Azure, Snowflake If you are looking for an opportunity of this nature, please contact (see below) or call.
Dec 18, 2022
Data Migration Engineer - £35,000 - £45,000 - Stafford (12 month FTC) Data Migration Engineer required by a company based in Stafford, West Midlands. Following a recent merger of 3 companies, they are looking to combine multiple systems and therefore recruiting a Data Migration Engineer to help with this. The Data Migration Engineer will work in a small team on a 12-month fixed term contract, with the hope of being able to offer a permanent position at the end of the contract. The company operate on a hybrid model involving 1 day a week in the office. Skills required: SQL Migrations 1+ years' experience in a similar role Datamodelling Understanding of Data Warehouse strategies Power BI would be extremely advantageous but is not essential. Knowledge of Cloud platforms would also be advantageous: AWS, GCP, Azure, Snowflake If you are looking for an opportunity of this nature, please contact (see below) or call.
Duties and responsibilities You will: Research, design, develop, test, debug, document and support custom applications in support of business needs. Adhere to product release delivery schedules working as a collaborative team member in an agile development environment. Produce technical specifications and release notes for required features and architectural/framework improvements. Participate in code design and code reviews with appropriate team members. Research and perform design, systems analysis and development activities. Design and implement new software as well as maintain and improve existing software and applications. Provide production support for custom applications as needed. Ensure that code adheres to company standards for accessibility, security, object-oriented practices and performance. Write, conduct and maintain unit and integration tests. Effectively function and communicate within a software development team consisting of developers, quality assurance testers and technical business analysts. Actively participate in requirements and design meetings. Carry out additional duties as assigned. Technical skills and qualifications The ideal candidate would have a minimum of 5 years' experience in the Investment Management (but will consider any industry) and Data warehousing/ETL space. 3+ Years' ETL hands-on experience building data solutions using Informatica PowerCenter 10.2, Unix Shell Scripting and Autosys scheduling. You are exposed to Informatica Data Quality (IDQ)Tool and have hands-on experience in data quality projects. Professional Hands-On experience as a software engineer/developer working with databases like Oracle, SQL Server. Familiarity with Master Data Management, Data Warehousing concepts and Datamodelling. Strong knowledge in Object Oriented Analysis, design and programming. Application development, implementation experience and troubleshooting capability. ETL development using Python, Pyspark and other ETL technologies preferred but not necessary. You should be keen to learn new Cloud technologies such as Databricks and Snowflake. As this this the strategic platform for new projects. Experience with workflow/issue tracking/project management tools. Experience with Agile (Scrum/Kanban) methodologies. Experience with Azure DevOps source code control and release pipeline in a development environment Salary: £82k base + 20% bonus + 10.5% pension and other benefits
Dec 17, 2022
Full time
Duties and responsibilities You will: Research, design, develop, test, debug, document and support custom applications in support of business needs. Adhere to product release delivery schedules working as a collaborative team member in an agile development environment. Produce technical specifications and release notes for required features and architectural/framework improvements. Participate in code design and code reviews with appropriate team members. Research and perform design, systems analysis and development activities. Design and implement new software as well as maintain and improve existing software and applications. Provide production support for custom applications as needed. Ensure that code adheres to company standards for accessibility, security, object-oriented practices and performance. Write, conduct and maintain unit and integration tests. Effectively function and communicate within a software development team consisting of developers, quality assurance testers and technical business analysts. Actively participate in requirements and design meetings. Carry out additional duties as assigned. Technical skills and qualifications The ideal candidate would have a minimum of 5 years' experience in the Investment Management (but will consider any industry) and Data warehousing/ETL space. 3+ Years' ETL hands-on experience building data solutions using Informatica PowerCenter 10.2, Unix Shell Scripting and Autosys scheduling. You are exposed to Informatica Data Quality (IDQ)Tool and have hands-on experience in data quality projects. Professional Hands-On experience as a software engineer/developer working with databases like Oracle, SQL Server. Familiarity with Master Data Management, Data Warehousing concepts and Datamodelling. Strong knowledge in Object Oriented Analysis, design and programming. Application development, implementation experience and troubleshooting capability. ETL development using Python, Pyspark and other ETL technologies preferred but not necessary. You should be keen to learn new Cloud technologies such as Databricks and Snowflake. As this this the strategic platform for new projects. Experience with workflow/issue tracking/project management tools. Experience with Agile (Scrum/Kanban) methodologies. Experience with Azure DevOps source code control and release pipeline in a development environment Salary: £82k base + 20% bonus + 10.5% pension and other benefits
Data Scientist - Permanent - Up to £100k + bonus and benefits - Hybrid working My client, a tier 1 bank are currently looking to build out our rapidly expanding digital transformation business. They have got a wide range of projects available and are looking for an experienced Data Scientist specialising in the ML domain who can bring an immediate experience of AI/ML related approaches to complement the team. Key Requirements Educated to a Master's/Ph.D level in Science/ Computer Science/ AI / engineering or any related background Strong development track record with Python and Agile development practices. Experience of systematically organising and migrating analytic or machine learning systems. Understanding of statistics and statistical methods (i.e Bayes). You are comfortable working in a Python data science tech stack, for example pandas, ggplot. Matplotlib, SciKit Learn. You also have experience accessing and combing data from multiple sources and building data pipelines, including a good knowledge of SQL. Cloud Experience (AWS, GCP, Azure) GCP experience would be advantageous TensorFlow, Spark (or relevant cloud equivalent, or proprietary database experience - e.g., Snowflake Strong statistical skills Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Dec 08, 2022
Full time
Data Scientist - Permanent - Up to £100k + bonus and benefits - Hybrid working My client, a tier 1 bank are currently looking to build out our rapidly expanding digital transformation business. They have got a wide range of projects available and are looking for an experienced Data Scientist specialising in the ML domain who can bring an immediate experience of AI/ML related approaches to complement the team. Key Requirements Educated to a Master's/Ph.D level in Science/ Computer Science/ AI / engineering or any related background Strong development track record with Python and Agile development practices. Experience of systematically organising and migrating analytic or machine learning systems. Understanding of statistics and statistical methods (i.e Bayes). You are comfortable working in a Python data science tech stack, for example pandas, ggplot. Matplotlib, SciKit Learn. You also have experience accessing and combing data from multiple sources and building data pipelines, including a good knowledge of SQL. Cloud Experience (AWS, GCP, Azure) GCP experience would be advantageous TensorFlow, Spark (or relevant cloud equivalent, or proprietary database experience - e.g., Snowflake Strong statistical skills Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
DATA ENGINEERING MANAGER LONDON - HYBRID, 2 DAYS A WEEK IN OFFICE UP TO £75K+ BONUS (10 - 20%) Harnham are hiring a Data Engineering Manager for a large insurance company based in London. This role includes leading a group of 5 or more Data Engineers in a significant data transformation. This is a great opportunity for a Data Leader to get significant exposure with Senior Stakeholders in this business. THE COMPANY: This role is for a large insurance company in London that is going through a significant digital transformation. This data transformation means that they are now needing someone to lead one of their Data Engineering teams. The company has some significant growth plans for the next 2 years so this is a great time to join the team. THE ROLE: As a Data Engineering Manager, you will help lead a group of Data Engineers to implement the long-term data strategy. The role will consist of 80% managing 5 Data Engineers and 20% hands-on coding. The teams at this company are cross-functional so you will be working alongside Software Engineers and Data Scientists. In this role, you will be reporting directly to the Head of Engineering. YOUR SKILLS AND EXPERIENCE: The ideal Data Engineering Manager will have experience in: Leading a team of Data Engineers to take a project from inception to deployment Strong communication and stakeholder management skills Implementation of a Snowflake data warehouse Commercial experience with Databricks Querying datasets using SQL Excellent Python programming and coding experience Working in an Azure cloud environment HOW TO APPLY: Please register your interest by sending your CV to Ewan Heyworth via the apply link on this page.
Dec 07, 2022
Full time
DATA ENGINEERING MANAGER LONDON - HYBRID, 2 DAYS A WEEK IN OFFICE UP TO £75K+ BONUS (10 - 20%) Harnham are hiring a Data Engineering Manager for a large insurance company based in London. This role includes leading a group of 5 or more Data Engineers in a significant data transformation. This is a great opportunity for a Data Leader to get significant exposure with Senior Stakeholders in this business. THE COMPANY: This role is for a large insurance company in London that is going through a significant digital transformation. This data transformation means that they are now needing someone to lead one of their Data Engineering teams. The company has some significant growth plans for the next 2 years so this is a great time to join the team. THE ROLE: As a Data Engineering Manager, you will help lead a group of Data Engineers to implement the long-term data strategy. The role will consist of 80% managing 5 Data Engineers and 20% hands-on coding. The teams at this company are cross-functional so you will be working alongside Software Engineers and Data Scientists. In this role, you will be reporting directly to the Head of Engineering. YOUR SKILLS AND EXPERIENCE: The ideal Data Engineering Manager will have experience in: Leading a team of Data Engineers to take a project from inception to deployment Strong communication and stakeholder management skills Implementation of a Snowflake data warehouse Commercial experience with Databricks Querying datasets using SQL Excellent Python programming and coding experience Working in an Azure cloud environment HOW TO APPLY: Please register your interest by sending your CV to Ewan Heyworth via the apply link on this page.
Data Engineering Manager It's a really exciting time to join Hastings Direct. As we continue to transform our business to become a truly digital first insurer, we're looking for a proactive, data driven leader to join our growing Data Engineering team.A key role in the Pricing, Data and Analytics leadership team reporting directly into Head of Data Engineering. With full ownership of our Data Assets you will oversee our portfolio of data, fuelling our Pricing capabilities and activity.We're flexible on location, this can be based at home or either our Bexhill or London Cannon Street offices. How you will make a difference: Leading a team of colleagues across data engineering, including hiring new data engineers across all levels. Delivering analytical datasets to support pricing & modelling, creation of self-service data tools for our analytic community and delivery of production data extracts Working closely with data scientists, actuaries and pricing analysts to develop market leading approaches to risk pricing & fraud detection Leading the team to discover & deliver new data sources and risk factors, for use in supporting developments across underwriting and the wider business You will own the delivery agenda for the team, to see projects through to completion Support the development of best in class capability across the team, coaching colleagues into excellent technical & people leaders What we're looking for: You enjoy thinking big, and fast - our long term goals involve turning an immense number of data opportunities into live predictive models - you'll be ready and excited to take on this challenge.You're an actioned orientated, strategic leader and enjoy leading & building data analytical teams with experience of modern data stack pipelines (DataBricks, DBT, Azure Data Factory, Snowflake and Python)You have a strong track record of leading and designing technical data solutions, that have driven commercial outcomes and business growth.You're experience includes building strong relationships with stakeholders. Effectively interacting and influencing at all levels, shaping ideas into words and ambiguity into results, so a versatile and action orientated approach, is highly important in this role. Benefits for you We've got big growth plans, joining our pricing, data and analytics team will be like joining a new start up that happens to be attached to a growing and successful motor insurer with the capital needed to invest and succeed in analytical expertise.This a real opportunity to make the role your own, whilst making a difference in a fast-paced, flexible and delivery focussed environment. Highly competitive basic salary Pension matched up to 10% £5k car allowance 10% bonus earning potential 27 days holiday and bank holidays Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
Dec 06, 2022
Full time
Data Engineering Manager It's a really exciting time to join Hastings Direct. As we continue to transform our business to become a truly digital first insurer, we're looking for a proactive, data driven leader to join our growing Data Engineering team.A key role in the Pricing, Data and Analytics leadership team reporting directly into Head of Data Engineering. With full ownership of our Data Assets you will oversee our portfolio of data, fuelling our Pricing capabilities and activity.We're flexible on location, this can be based at home or either our Bexhill or London Cannon Street offices. How you will make a difference: Leading a team of colleagues across data engineering, including hiring new data engineers across all levels. Delivering analytical datasets to support pricing & modelling, creation of self-service data tools for our analytic community and delivery of production data extracts Working closely with data scientists, actuaries and pricing analysts to develop market leading approaches to risk pricing & fraud detection Leading the team to discover & deliver new data sources and risk factors, for use in supporting developments across underwriting and the wider business You will own the delivery agenda for the team, to see projects through to completion Support the development of best in class capability across the team, coaching colleagues into excellent technical & people leaders What we're looking for: You enjoy thinking big, and fast - our long term goals involve turning an immense number of data opportunities into live predictive models - you'll be ready and excited to take on this challenge.You're an actioned orientated, strategic leader and enjoy leading & building data analytical teams with experience of modern data stack pipelines (DataBricks, DBT, Azure Data Factory, Snowflake and Python)You have a strong track record of leading and designing technical data solutions, that have driven commercial outcomes and business growth.You're experience includes building strong relationships with stakeholders. Effectively interacting and influencing at all levels, shaping ideas into words and ambiguity into results, so a versatile and action orientated approach, is highly important in this role. Benefits for you We've got big growth plans, joining our pricing, data and analytics team will be like joining a new start up that happens to be attached to a growing and successful motor insurer with the capital needed to invest and succeed in analytical expertise.This a real opportunity to make the role your own, whilst making a difference in a fast-paced, flexible and delivery focussed environment. Highly competitive basic salary Pension matched up to 10% £5k car allowance 10% bonus earning potential 27 days holiday and bank holidays Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
Enterprise Data Architect with an Insurance background and expertise across Enterprise Data Architecture, BI/Reporting, and Solution Architecture experience sought by a leading Global Insurance Group. The Senior Data Architect will report directly to the Chief Technology Officer operate as part of a wider CTO Office. You will be responsible for the assessment of the impact of business requirements on the Enterprise Data Architecture, and provide advisory services, oversight technical support and review to multiple legal entity data transformation engagements on topics ranging from data scoping, data modelling, data management, solution design, data architecture and data engineering. You will effectively represent the CTO function and will be responsible to deliver appropriate data services for Line of Business engagements. Requirements Significant experience as a Data Architect - Ideally 10-15 years' experience in designing enterprise-wide data architecture, BI/ Reporting and solution architecture design Experience with relational data structures, theories, principles, and practices - TOGAF Certified Experience in Enterprise-level tooling for Data Modelling and Data Governance High level of expertise in Conceptual and Logical Data Modelling and the application of Data Standards to BI Good understanding of Inmon / Kimball Data Warehousing Methodologies Experience in Microsoft Business Intelligence Development Stack (DBMS / SSIS / SSRS / Power BI) Alternative Experience in Business Intelligence Tooling (Tableau, Qlik, SAS VA, etc) Experience in design, build and implementation of Cloud Technologies (Azure, AWS, Snowflake) Experience in agile delivery and development (DevOps,CI/CD) using a data engineering stack Experience in Wherescape Red or other equivalent low code transformation tools Proven track record of successfully delivering system integration, BI and/or data warehousing Knowledge of insurance market business applications and procedures and/or from an equivalent industry pply Attach a CV (Accepted file types: pdf, doc, docx, rtf.) I accept the terms of the Privacy Policy and agree for this data be sent to the consultant's email address shown below, be used to respond to my message and stored there until prior notice is given for it to be removed.
Nov 28, 2022
Full time
Enterprise Data Architect with an Insurance background and expertise across Enterprise Data Architecture, BI/Reporting, and Solution Architecture experience sought by a leading Global Insurance Group. The Senior Data Architect will report directly to the Chief Technology Officer operate as part of a wider CTO Office. You will be responsible for the assessment of the impact of business requirements on the Enterprise Data Architecture, and provide advisory services, oversight technical support and review to multiple legal entity data transformation engagements on topics ranging from data scoping, data modelling, data management, solution design, data architecture and data engineering. You will effectively represent the CTO function and will be responsible to deliver appropriate data services for Line of Business engagements. Requirements Significant experience as a Data Architect - Ideally 10-15 years' experience in designing enterprise-wide data architecture, BI/ Reporting and solution architecture design Experience with relational data structures, theories, principles, and practices - TOGAF Certified Experience in Enterprise-level tooling for Data Modelling and Data Governance High level of expertise in Conceptual and Logical Data Modelling and the application of Data Standards to BI Good understanding of Inmon / Kimball Data Warehousing Methodologies Experience in Microsoft Business Intelligence Development Stack (DBMS / SSIS / SSRS / Power BI) Alternative Experience in Business Intelligence Tooling (Tableau, Qlik, SAS VA, etc) Experience in design, build and implementation of Cloud Technologies (Azure, AWS, Snowflake) Experience in agile delivery and development (DevOps,CI/CD) using a data engineering stack Experience in Wherescape Red or other equivalent low code transformation tools Proven track record of successfully delivering system integration, BI and/or data warehousing Knowledge of insurance market business applications and procedures and/or from an equivalent industry pply Attach a CV (Accepted file types: pdf, doc, docx, rtf.) I accept the terms of the Privacy Policy and agree for this data be sent to the consultant's email address shown below, be used to respond to my message and stored there until prior notice is given for it to be removed.
Solution Architect, Supply Chain Our Team, Strategy and Architecture, is part of a thriving product, engineering, data, operations, and digital community who together design, develop and operate all of RS' global digital services. We work on some of the most exciting product developments and enterprise initiatives, and we design the technology solutions to support these. For example, we: Ensure our digital products, platforms and services are built to meet and exceed customers' expectations Help others across the business to achieve more through technology Facilitate technical design working with our many agile and cross functional teams Maintain a holistic view of the technology roadmaps for the company Champion technical excellence and the art of the possible You have a passion for technology and everything that goes into creating great solutions. That includes code, software, products, platforms, people and processes. You understand how to use the latest engineering and architecture techniques, working with internal teams, vendors and partners alike to achieve the best outcomes. For example, you like to: Provide technical leadership Create a best -in-class digital experience though customer centric design Build digital traffic though web, mobile, voice and related mass market channels Create bespoke, high value solutions, for large enterprise customers Design the technology that powers a digital business from datacentres, networks and cloud to productivity, enterprise systems and more Form partnerships with other leading technology companies The role is Solution Architect, and your accountabilities would be: Develop the architecture & overall design for major/strategic projects in line with the output of the Enterprise Architects and providing the boundaries within which the engineering teams can subsequently deliver. Support, and actively participate in, robust governance processes relating to target and transition conceptual, logical and physical architectures for application/technology solutions Facilitate the process of making Key Design decisions, ensuring that all key stakeholders can contribute to the process. Communicate the reasoning and implications of key architectural decisions to senior management stakeholders Contribute to cross functional Design Working Groups to discuss, agree and communicate key design elements. Ensuring that the programmers, projects and initiatives are aware of, and comply with, the documented Architectural governance processes. Provide mentoring and coaching for less experienced members of the Solution Architecture team. To be effective in the role, you will need the ability to work flexibly. Much of your time will be spent working in virtual teams, with the occasional need to attend the RS Corby and RS London offices, where many of our key stakeholders are based. Your skills and experience include some of the following : Supply chain/Transport/Logistics solutions (e.g., systems for: inventory planning, order management, warehouse management, warehouse automation (conveyors/autopack etc), carrier service management) Global Trade and Compliance solutions (e.g., global trade solutions and regulatory tools) Supply & Demand Planning solution (e.g., S&OP processes/technology) Security and robustness (e.g., identity and access control, scalability, usability, maintainability, monitoring, alerting, etc) Platforms (e.g., frameworks, ERPs, Search, PaaS, serverless) Architectural design (e.g., methodologies, diagrams, analysis, specifications) Integrated systems (e.g. between bespoke, open source, commercial off the shelf and SaaS) Deployment environments (e.g. virtualization, containers and automation of these) Scalable architectural patterns (e.g. SOA, micro-services, API management, event driven) Web and mobile solutions (e.g. internet, http, CDN's, browser and native) You especially enjoy learning new skills and new technologies (and we would like hear about what you've done, whether it's on the list above or not). We are technology agnostic, and use the best tool for the job. That said, to give you a flavour, we're currently making good use of: Cloud: predominantly AWS but Azure and others too Warehouse Management: SAP WM, Manhattan, Dematic DAI Matflow, Sicalis. CCSWCS Inventory Management/Planning: Blue Yonder, SAP BW, Coupa Carrier Service Management: MetaPack Global Trade/Compliance: E2Open - Amber Road/TA15, GTS, Atlas and more Data: the Cloudera and snowflake ecosystems, plus several integrated tools Marketing: Adobe, Google plus a slew of ad tech ML and AI: using all the above Containers: from docker, hashicorp and the cloud native foundation Custom development: Java, node.js, graphql, react and much more DevOps: we like engineers to own their technology choices and work with them on automation, testing, security, and monitoring Value and values mean a lot to us, that is to say creating value in our industry and holding true to our values. In the evolving landscape of high-tech industry, it is as important for us to adapt to the changing times as it is for us to deliver great products and great service. To survive and thrive we put innovation at our core and drive creative thinking. It means experimenting with unknowns, trying new things, thinking and acting differently. By doing this we create value for: Customers : competing on value, not price, and making it easy to do business Suppliers : providing insight and analysis to create better solutions Shareholders : growing profits and creating dividend growth Our employees : nurturing talent and building a highly-diverse, high-performance culture And we always live our values of being seamless, personal and progressive which is why we have come to really value six ways of working: Passion : an exceptional experience for customers, suppliers and colleagues every time. Integrity : be real and do the right thing Innovation : courage to do something bold Collaboration : trust our collective genius Accountability : if it's to be, make things happen with simplicity and speed Aspiration : be ambitious, like you're the owner of our business Above all, we know we will achieve great things, working with the best people in industry, including, hopefully, you. What we offer? We have an outstanding benefits package, which includes: Up to 15% Bonus Private Healthcare 26 days holiday (with the option to purchase a further week) EAP Programme Virtual GP access Discounted stock options Extremely generous contributory Pension scheme 10.5% employers contribution Life assurance About Us: RS is an organization that holds customer service and innovation at its heart. This has lead us to growing to operations in 32 countries, more than 500,000 products available online, in catalogues, at trade counters and via service offerings to over one million customers who, together, receive over 50,000 RS deliveries a day. From here we see plenty more opportunities for the future, underpinned by digital, technology, data, and culture of people who are continually transforming and growing the business to meet the needs of our customers in a fast changing world.
Sep 24, 2022
Full time
Solution Architect, Supply Chain Our Team, Strategy and Architecture, is part of a thriving product, engineering, data, operations, and digital community who together design, develop and operate all of RS' global digital services. We work on some of the most exciting product developments and enterprise initiatives, and we design the technology solutions to support these. For example, we: Ensure our digital products, platforms and services are built to meet and exceed customers' expectations Help others across the business to achieve more through technology Facilitate technical design working with our many agile and cross functional teams Maintain a holistic view of the technology roadmaps for the company Champion technical excellence and the art of the possible You have a passion for technology and everything that goes into creating great solutions. That includes code, software, products, platforms, people and processes. You understand how to use the latest engineering and architecture techniques, working with internal teams, vendors and partners alike to achieve the best outcomes. For example, you like to: Provide technical leadership Create a best -in-class digital experience though customer centric design Build digital traffic though web, mobile, voice and related mass market channels Create bespoke, high value solutions, for large enterprise customers Design the technology that powers a digital business from datacentres, networks and cloud to productivity, enterprise systems and more Form partnerships with other leading technology companies The role is Solution Architect, and your accountabilities would be: Develop the architecture & overall design for major/strategic projects in line with the output of the Enterprise Architects and providing the boundaries within which the engineering teams can subsequently deliver. Support, and actively participate in, robust governance processes relating to target and transition conceptual, logical and physical architectures for application/technology solutions Facilitate the process of making Key Design decisions, ensuring that all key stakeholders can contribute to the process. Communicate the reasoning and implications of key architectural decisions to senior management stakeholders Contribute to cross functional Design Working Groups to discuss, agree and communicate key design elements. Ensuring that the programmers, projects and initiatives are aware of, and comply with, the documented Architectural governance processes. Provide mentoring and coaching for less experienced members of the Solution Architecture team. To be effective in the role, you will need the ability to work flexibly. Much of your time will be spent working in virtual teams, with the occasional need to attend the RS Corby and RS London offices, where many of our key stakeholders are based. Your skills and experience include some of the following : Supply chain/Transport/Logistics solutions (e.g., systems for: inventory planning, order management, warehouse management, warehouse automation (conveyors/autopack etc), carrier service management) Global Trade and Compliance solutions (e.g., global trade solutions and regulatory tools) Supply & Demand Planning solution (e.g., S&OP processes/technology) Security and robustness (e.g., identity and access control, scalability, usability, maintainability, monitoring, alerting, etc) Platforms (e.g., frameworks, ERPs, Search, PaaS, serverless) Architectural design (e.g., methodologies, diagrams, analysis, specifications) Integrated systems (e.g. between bespoke, open source, commercial off the shelf and SaaS) Deployment environments (e.g. virtualization, containers and automation of these) Scalable architectural patterns (e.g. SOA, micro-services, API management, event driven) Web and mobile solutions (e.g. internet, http, CDN's, browser and native) You especially enjoy learning new skills and new technologies (and we would like hear about what you've done, whether it's on the list above or not). We are technology agnostic, and use the best tool for the job. That said, to give you a flavour, we're currently making good use of: Cloud: predominantly AWS but Azure and others too Warehouse Management: SAP WM, Manhattan, Dematic DAI Matflow, Sicalis. CCSWCS Inventory Management/Planning: Blue Yonder, SAP BW, Coupa Carrier Service Management: MetaPack Global Trade/Compliance: E2Open - Amber Road/TA15, GTS, Atlas and more Data: the Cloudera and snowflake ecosystems, plus several integrated tools Marketing: Adobe, Google plus a slew of ad tech ML and AI: using all the above Containers: from docker, hashicorp and the cloud native foundation Custom development: Java, node.js, graphql, react and much more DevOps: we like engineers to own their technology choices and work with them on automation, testing, security, and monitoring Value and values mean a lot to us, that is to say creating value in our industry and holding true to our values. In the evolving landscape of high-tech industry, it is as important for us to adapt to the changing times as it is for us to deliver great products and great service. To survive and thrive we put innovation at our core and drive creative thinking. It means experimenting with unknowns, trying new things, thinking and acting differently. By doing this we create value for: Customers : competing on value, not price, and making it easy to do business Suppliers : providing insight and analysis to create better solutions Shareholders : growing profits and creating dividend growth Our employees : nurturing talent and building a highly-diverse, high-performance culture And we always live our values of being seamless, personal and progressive which is why we have come to really value six ways of working: Passion : an exceptional experience for customers, suppliers and colleagues every time. Integrity : be real and do the right thing Innovation : courage to do something bold Collaboration : trust our collective genius Accountability : if it's to be, make things happen with simplicity and speed Aspiration : be ambitious, like you're the owner of our business Above all, we know we will achieve great things, working with the best people in industry, including, hopefully, you. What we offer? We have an outstanding benefits package, which includes: Up to 15% Bonus Private Healthcare 26 days holiday (with the option to purchase a further week) EAP Programme Virtual GP access Discounted stock options Extremely generous contributory Pension scheme 10.5% employers contribution Life assurance About Us: RS is an organization that holds customer service and innovation at its heart. This has lead us to growing to operations in 32 countries, more than 500,000 products available online, in catalogues, at trade counters and via service offerings to over one million customers who, together, receive over 50,000 RS deliveries a day. From here we see plenty more opportunities for the future, underpinned by digital, technology, data, and culture of people who are continually transforming and growing the business to meet the needs of our customers in a fast changing world.
SUMMARY As the Data Governance Analyst, you will be responsible for improving the availability, quality and trust worthiness of data. You will serve as a binding agent between data producers, data engineers and data consumers across the organisation. You will devise innovative approaches to implement data governance and data quality at-scale using modern master data management (MDM) technologies. Partnering with business and IT stakeholders to implement data standards, guaranteeing metadata is captured correctly, and creating methods for monitoring, reporting and automatically resolving data inconsistencies. DUTIES AND RESPONSIBLITIES Partner with key business stakeholders to establish master and reference data definitions, and co-develop business cases to justify new MDM initiatives Develop, test, and deploy MDM models for key domains (such as Employees, Assets, Sites, Financial Accounts, Locations etc.) Educate business and operations teams on data stewardship and MDM best practices by providing analytical dashboards, and continuous process improvement recommendations Define key performance indicators for quality and compliance metrics to ensure data related policies and standards are adhered to, and provide a data governance scorecard Establish data ownership guidelines, set up and manage user rights and policies Manage a flexible, extensible, and open data model to hold the master data and all required attributes (both structured and unstructured) based on the business-driven view of attributes, validation rules, security, and associated complex master data relationships Facilitate secure and accurate data stewarding and reporting across the business Define role-based views and dashboards for business and power users to manage master data efficiently and effectively Work with other IT stakeholders to coordinate and manage MDM application changes including resolving issues and planning for enhancements and upgrades Provide excellent customer focused support by troubleshooting and resolving master data issues Define master data sourcing and services strategies including the evaluation of third-party data providers and services Help develop policies, procedures and standards for data modelling, quality, security, architecture, change management and devops. Implement robust processes to ensure compliance with data protection and privacy obligations. Develop and maintain MDM standard operating procedures, work instructions, training guides and data catalogues. QUALIFICATIONS, KNOWLEDGE AND EXPERIENCE Bachelor's degree in computer science, software engineering or equivalent Full life-cycle MDM experience Good understanding of data architecture, ethics, governance, security, and metadata management Proficiency with at least one MDM tool, Semarchy XDM Experience working in agile environment, and with CI/CD tools such as Azure DevOps and GIT Extensive experience in developing data dictionaries and catalogs (Alation, Collibra, Informatica) Proficiency with cloud services, ideally Azure Advanced SQL skills is essential, specifically with Snowflake, Postgres and MSSQL Familiarity with BI tools such as PowerBI and Tableau Extensive experience and understanding of GDPR, DPIAs and other data privacy and compliance assessments Experience handling sensitive data Good people and communication skills (consulting background desirable)
Dec 07, 2021
Full time
SUMMARY As the Data Governance Analyst, you will be responsible for improving the availability, quality and trust worthiness of data. You will serve as a binding agent between data producers, data engineers and data consumers across the organisation. You will devise innovative approaches to implement data governance and data quality at-scale using modern master data management (MDM) technologies. Partnering with business and IT stakeholders to implement data standards, guaranteeing metadata is captured correctly, and creating methods for monitoring, reporting and automatically resolving data inconsistencies. DUTIES AND RESPONSIBLITIES Partner with key business stakeholders to establish master and reference data definitions, and co-develop business cases to justify new MDM initiatives Develop, test, and deploy MDM models for key domains (such as Employees, Assets, Sites, Financial Accounts, Locations etc.) Educate business and operations teams on data stewardship and MDM best practices by providing analytical dashboards, and continuous process improvement recommendations Define key performance indicators for quality and compliance metrics to ensure data related policies and standards are adhered to, and provide a data governance scorecard Establish data ownership guidelines, set up and manage user rights and policies Manage a flexible, extensible, and open data model to hold the master data and all required attributes (both structured and unstructured) based on the business-driven view of attributes, validation rules, security, and associated complex master data relationships Facilitate secure and accurate data stewarding and reporting across the business Define role-based views and dashboards for business and power users to manage master data efficiently and effectively Work with other IT stakeholders to coordinate and manage MDM application changes including resolving issues and planning for enhancements and upgrades Provide excellent customer focused support by troubleshooting and resolving master data issues Define master data sourcing and services strategies including the evaluation of third-party data providers and services Help develop policies, procedures and standards for data modelling, quality, security, architecture, change management and devops. Implement robust processes to ensure compliance with data protection and privacy obligations. Develop and maintain MDM standard operating procedures, work instructions, training guides and data catalogues. QUALIFICATIONS, KNOWLEDGE AND EXPERIENCE Bachelor's degree in computer science, software engineering or equivalent Full life-cycle MDM experience Good understanding of data architecture, ethics, governance, security, and metadata management Proficiency with at least one MDM tool, Semarchy XDM Experience working in agile environment, and with CI/CD tools such as Azure DevOps and GIT Extensive experience in developing data dictionaries and catalogs (Alation, Collibra, Informatica) Proficiency with cloud services, ideally Azure Advanced SQL skills is essential, specifically with Snowflake, Postgres and MSSQL Familiarity with BI tools such as PowerBI and Tableau Extensive experience and understanding of GDPR, DPIAs and other data privacy and compliance assessments Experience handling sensitive data Good people and communication skills (consulting background desirable)
We are DTSQUARED, a specialist independent consultancy focussing on data strategy and data-related business challenges. We specialise in financial services and are proud to work with clients such as Barclays, Deutsche Bank, Credit Suisse, HSBC, Lloyds and UBS. Due to our continued growth, we are looking to hire an Infrastructure Engineer. You would be joining an established infrastructure team where you will play a key part in supporting the service desk, development & projects team and acting as an escalation point for support, security reviews and critical project rollouts. This is a great hands-on' role where no two days will be the same; we work with leading technologies (think AWS, Azure, 365, Snowflake, Collibra and Informatica). And there is a generous training budget to help and support with future development. Role Responsibilities: Support of both internal infrastructure and developmental infrastructure. Lead the troubleshooting and resolution of data, system issues and performance issues. Investigation of new technologies and tooling. Manage and monitor all installed systems and infrastructure. Install, configure, test, and maintain operating systems, application software and system management tools. Proactively ensure the highest levels of systems and infrastructure availability. Monitor and test application performance for potential bottlenecks, identify possible solutions and work with developers to implement fixes. Maintain security, backup, and redundancy strategies. Participate in the design of information and operational support systems. Provide 1st level remote support, log, manage and resolve issues and dependencies promptly. Liaise with vendors and other IT personnel for problem resolution. Experience Required: Background in platforms, coding languages and tooling. Cloud experience with AWS (GCP desirable) Broad enterprise experience of infrastructural concepts. Strong problem solving and critical thinking skills. Bachelor's degree in technology or a related field (desirable). Experience in Financial Services (desirable). Experience in a Consultancy (strongly desired). Must be able to commute into London from time to time. Ok, I'm interested, what can I expect? No mico management, no office politics, a clean flat structure. Amazing benefits, inc healthcare, pension, bonus, a training budget and social events. Opportunities to develop new skills and progress your career. Good home work-life balance, a hybrid mix of office and home-based working. Ok, I'm sold; what happens next? Send me your profile or give me a call; I would be delighted to tell you more; there is so much I can tell you that I can't put into an advert; this is genuinely a one of a kind company and culture. Hit the apply button and discover what's possible.
Dec 03, 2021
Full time
We are DTSQUARED, a specialist independent consultancy focussing on data strategy and data-related business challenges. We specialise in financial services and are proud to work with clients such as Barclays, Deutsche Bank, Credit Suisse, HSBC, Lloyds and UBS. Due to our continued growth, we are looking to hire an Infrastructure Engineer. You would be joining an established infrastructure team where you will play a key part in supporting the service desk, development & projects team and acting as an escalation point for support, security reviews and critical project rollouts. This is a great hands-on' role where no two days will be the same; we work with leading technologies (think AWS, Azure, 365, Snowflake, Collibra and Informatica). And there is a generous training budget to help and support with future development. Role Responsibilities: Support of both internal infrastructure and developmental infrastructure. Lead the troubleshooting and resolution of data, system issues and performance issues. Investigation of new technologies and tooling. Manage and monitor all installed systems and infrastructure. Install, configure, test, and maintain operating systems, application software and system management tools. Proactively ensure the highest levels of systems and infrastructure availability. Monitor and test application performance for potential bottlenecks, identify possible solutions and work with developers to implement fixes. Maintain security, backup, and redundancy strategies. Participate in the design of information and operational support systems. Provide 1st level remote support, log, manage and resolve issues and dependencies promptly. Liaise with vendors and other IT personnel for problem resolution. Experience Required: Background in platforms, coding languages and tooling. Cloud experience with AWS (GCP desirable) Broad enterprise experience of infrastructural concepts. Strong problem solving and critical thinking skills. Bachelor's degree in technology or a related field (desirable). Experience in Financial Services (desirable). Experience in a Consultancy (strongly desired). Must be able to commute into London from time to time. Ok, I'm interested, what can I expect? No mico management, no office politics, a clean flat structure. Amazing benefits, inc healthcare, pension, bonus, a training budget and social events. Opportunities to develop new skills and progress your career. Good home work-life balance, a hybrid mix of office and home-based working. Ok, I'm sold; what happens next? Send me your profile or give me a call; I would be delighted to tell you more; there is so much I can tell you that I can't put into an advert; this is genuinely a one of a kind company and culture. Hit the apply button and discover what's possible.
Senior Data Engineer It's an exciting time for us as we continue to transform our business, to meet out Pricing, Data and Analytics strategic ambitions. We're looking for people with a curious mindset and customer focus to join us on our journey. The role Collaborating with some of the sharpest minds in the industry, our team of Data Engineers, Actuaries, Data Science and Pricing professionals are working together to leverage powerful insights. You'll be developing, maintaining, and improving both existing and new processes for data ingestion to build new cloud architecture. Based either remotely, or in our London or Bexhill offices with flexible working available. How you will make a difference: Managing large data engineering projects from inception to completion, including management of other team members' tasks. Developing, constructing and testing our architectures and databases. Set up automated data pipelines to deliver regular extracts and reports with minimal user intervention. Interrogate data issues to help drive continuous improvement in data quality. Investigate and evaluate new tools and techniques to support data processing, analytics and self service What we're looking for: As a leading insurer this role is critical to our delivery and success - it will be exciting, busy, varied and challenging so a roll sleeves up, hands-on approach is important. You will have an excellent understanding of data engineering, database architecture and querying using SQL. You will have a minimum of 3 years programming experience using languages such as SQL and R/Python You will have enthusiasm for innovation with a proven track record of researching and identifying optimum tools and methods for solving complex data problems. Experience working with Snowflake, Azure, Databricks or Hadoop would be advantageous. What we will give you: We've got big growth plans for our business, joining our Pricing Data and Analytics team will be like joining a new start up that happens to be attached to a growing and successful motor insurer with the capital needed to invest and succeed in analytical expertise. This a real opportunity to make the role your own, whilst making a difference in a fast-paced, flexible and delivery focussed environment. A real opportunity to get involved with exciting projects in a fast-paced, creative and customer focussed environment Highly competitive basic salary £5k P/A car allowance Pension 1:1 match up to 10% Up to 10% bonus earning potential 27 days annual leave Life assurance Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
Dec 03, 2021
Full time
Senior Data Engineer It's an exciting time for us as we continue to transform our business, to meet out Pricing, Data and Analytics strategic ambitions. We're looking for people with a curious mindset and customer focus to join us on our journey. The role Collaborating with some of the sharpest minds in the industry, our team of Data Engineers, Actuaries, Data Science and Pricing professionals are working together to leverage powerful insights. You'll be developing, maintaining, and improving both existing and new processes for data ingestion to build new cloud architecture. Based either remotely, or in our London or Bexhill offices with flexible working available. How you will make a difference: Managing large data engineering projects from inception to completion, including management of other team members' tasks. Developing, constructing and testing our architectures and databases. Set up automated data pipelines to deliver regular extracts and reports with minimal user intervention. Interrogate data issues to help drive continuous improvement in data quality. Investigate and evaluate new tools and techniques to support data processing, analytics and self service What we're looking for: As a leading insurer this role is critical to our delivery and success - it will be exciting, busy, varied and challenging so a roll sleeves up, hands-on approach is important. You will have an excellent understanding of data engineering, database architecture and querying using SQL. You will have a minimum of 3 years programming experience using languages such as SQL and R/Python You will have enthusiasm for innovation with a proven track record of researching and identifying optimum tools and methods for solving complex data problems. Experience working with Snowflake, Azure, Databricks or Hadoop would be advantageous. What we will give you: We've got big growth plans for our business, joining our Pricing Data and Analytics team will be like joining a new start up that happens to be attached to a growing and successful motor insurer with the capital needed to invest and succeed in analytical expertise. This a real opportunity to make the role your own, whilst making a difference in a fast-paced, flexible and delivery focussed environment. A real opportunity to get involved with exciting projects in a fast-paced, creative and customer focussed environment Highly competitive basic salary £5k P/A car allowance Pension 1:1 match up to 10% Up to 10% bonus earning potential 27 days annual leave Life assurance Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
Engineer to help the business design predictive models and analytics tools. This is an exciting opportunity that will enable someone to progress quickly as they will look to build a team underneath the incumbent in the first 12 months. The role will work technology such as Azure, Python, Snowflake and Spark. As a Data Engineer, you will play a crucial role in developing complex data structures and pipelines whilst working with Senior Business leaders. Data Engineer Role Work closely with data scientists to understand and solve business problems by developing the best-suited data structures for analysis. Build strong partnerships with peers across the organization to support data-related goals. Discover and explore new technologies and data sources with curiosity and creativity. Use technology to automate data ingestion and identify solutions to link external and internal data. Manage requirements and documentation throughout the data asset development lifecycle. Provides thought leadership and direction in the development and delivery of analytical solutions. Required Skills/Experience Ability to operate independently - managing tasks and engaging people across the team. Exceptional teamwork skills required to play a key role in cross-functional teams. Ability to collaborate and build trusting relationships and communicate effectively to target audiences. Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces. Strong understanding of data warehousing concepts and data manipulation skills for analytics. Resilient problem solving and critical thinking skills. Desired Skills/Experience 3+ years of data transformation experience. 3+ years building data structures to support analytics/research/actuarial functions in an insurance company setting. Experience with cloud technologies like Snowflake and Databricks is a plus. Opportunity to direct others depending on prior work experience. For more inforamtion please apply to this advert. Thanks!
Dec 01, 2021
Full time
Engineer to help the business design predictive models and analytics tools. This is an exciting opportunity that will enable someone to progress quickly as they will look to build a team underneath the incumbent in the first 12 months. The role will work technology such as Azure, Python, Snowflake and Spark. As a Data Engineer, you will play a crucial role in developing complex data structures and pipelines whilst working with Senior Business leaders. Data Engineer Role Work closely with data scientists to understand and solve business problems by developing the best-suited data structures for analysis. Build strong partnerships with peers across the organization to support data-related goals. Discover and explore new technologies and data sources with curiosity and creativity. Use technology to automate data ingestion and identify solutions to link external and internal data. Manage requirements and documentation throughout the data asset development lifecycle. Provides thought leadership and direction in the development and delivery of analytical solutions. Required Skills/Experience Ability to operate independently - managing tasks and engaging people across the team. Exceptional teamwork skills required to play a key role in cross-functional teams. Ability to collaborate and build trusting relationships and communicate effectively to target audiences. Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces. Strong understanding of data warehousing concepts and data manipulation skills for analytics. Resilient problem solving and critical thinking skills. Desired Skills/Experience 3+ years of data transformation experience. 3+ years building data structures to support analytics/research/actuarial functions in an insurance company setting. Experience with cloud technologies like Snowflake and Databricks is a plus. Opportunity to direct others depending on prior work experience. For more inforamtion please apply to this advert. Thanks!
We are currently working with a leading Asset Manager, who are looking to expand their Investment Data Science team by bringing in a Data Engineer. This is very much a cross asset team which sits within the investment function of the business, where you will be responsible for analysing and extracting large structured and unstructured datasets to provide clients with key investment insights. Additionally, to this designing building, and maintaining data structures, databases, and data processing pipelines to support data science projects, as well as building web scrapers, API's and dashboards. To apply you should have: • Excellent experience coding in Python to create web scrapers, ETL processes and data analysis pre-processes. • Efficient with the Azure technology stack - Azure Data Factory, Containers, Azure Functions, etc. • Strong SQL skills and experience working with both relational (Microsoft SQL Server) and non-relational databases. • Any experience with Snowflake and/or Dataiku would be a massive plus. This is an excellent opportunity to join a Multi-Billion-dollar alternative investment fund within a team which has doubled in size in the last 2 years. This role will give you the opportunity to take ownership of the data engineering technology stack and all related processes and procedures. To apply please contact
Nov 30, 2021
Full time
We are currently working with a leading Asset Manager, who are looking to expand their Investment Data Science team by bringing in a Data Engineer. This is very much a cross asset team which sits within the investment function of the business, where you will be responsible for analysing and extracting large structured and unstructured datasets to provide clients with key investment insights. Additionally, to this designing building, and maintaining data structures, databases, and data processing pipelines to support data science projects, as well as building web scrapers, API's and dashboards. To apply you should have: • Excellent experience coding in Python to create web scrapers, ETL processes and data analysis pre-processes. • Efficient with the Azure technology stack - Azure Data Factory, Containers, Azure Functions, etc. • Strong SQL skills and experience working with both relational (Microsoft SQL Server) and non-relational databases. • Any experience with Snowflake and/or Dataiku would be a massive plus. This is an excellent opportunity to join a Multi-Billion-dollar alternative investment fund within a team which has doubled in size in the last 2 years. This role will give you the opportunity to take ownership of the data engineering technology stack and all related processes and procedures. To apply please contact