With over 8 million members, VoucherCodes is one of the UK's largest money saving websites. Partnered with big brands like ASOS, Nike, Argos, Expedia and Pizza Express, we receive over 8 million visits per month. Right now, we're looking for a Data Engineer to work as part of our Engineering team in London. We design, develop and operate all data systems across the company. This includes ETL, our data warehouses, real-time click streams, and EMR to support personalisation of content to our users. We are looking for someone to help us as we continue to evolve the architecture and technology stack of our data systems. We use Python as our primary language for all data projects, however a couple of systems remain in PHP and are currently being migrated to Python. We manage our own AWS account and Kubernetes cluster with EKS. We work alongside our Platform Team to ensure we are following best practices and company standards. This approach enables us to maintain our own infrastructure. You will have good software development experience with Python coupled with strong SQL skills. In addition, you will also have a strong desire to work with Docker, Kubernetes, Airflow and the AWS data technologies such as Athena, Redshift, EMR and various other tools in the AWS ecosystem. You would be joining a team of 25+ engineers across mobile, web, data and platform. We look for engineers who have excellent attention to detail and care about the features they implement. What we need from you: At least 3 years of relevant data engineering experience Strong Python and SQL skills Experience with dbt Experience with AWS Experience working with a columnar database such as Redshift Strong Experience with ETL/ELT and the management of data pipelines Familiarity with snowplow Experience with Data Integration from a variety of sources Good cross-team communication skills Familiarity with continuous integration, unit testing tools and related practices Understanding of Agile Scrum software development lifecycle What you'll be doing: Implementing and maintaining ETL pipelines using Airflow & AWS technologies Contributing to data-driven tools owned by the data engineering team, including content personalisation Responsibility of ingestion framework and processes Helping monitor and look after our data infrastructure in AWS Supporting our Business Analytics & Marketing teams What you'll get from us: A culture that pushes you to be your best self Two uninterrupted hours a week dedicated to your personal development A tailored personal development plan, to ensure that you can continue to grow and achieve your career goals The flexibility to get that perfect work/life balance Zumba, football, table football, and pool table to work off all the free snacks Quarterly socials to let your hair down with your team Working Pattern : Hybrid, minimum 1-2 days per week in our London office (Yeoman House, Sekforde Street, London, EC1R 0HF) Join us at our bright, spacious open-plan office. Situated in the heart of London, we occupy all three floors of Yeoman House in Clerkenwell. The area is home to a wonderful array of cafés, restaurants, pubs and galleries. There's some of the best street food London has to offer right on our doorstep. You will also have flexibility to get that perfect work/life balance by working some days remotely if you wish. So, what's next? If we've piqued your interest, all you need to do to apply is send us your CV with a 200-300 word covering letter outlining why this role and VoucherCodes appeal to you (remember we'll also have your CV so use this space to tell us what you're excited about rather than what you've already achieved). Vouchercodes is part of Ziff Davis. Ziff Davis (Nasdaq: ZD) is a vertically focused digital media and internet company whose portfolio includes leading brands in technology, entertainment, shopping, health, cybersecurity, and martech. We aspire to build a sustainable, profitable and growing enterprise - and much of this is dependent on the calibre of people, technology and culture that are all important parts of the transaction. Want to know more? Check out our careers page You have been redirected to a Ziff Davis job page
Jul 06, 2025
Full time
With over 8 million members, VoucherCodes is one of the UK's largest money saving websites. Partnered with big brands like ASOS, Nike, Argos, Expedia and Pizza Express, we receive over 8 million visits per month. Right now, we're looking for a Data Engineer to work as part of our Engineering team in London. We design, develop and operate all data systems across the company. This includes ETL, our data warehouses, real-time click streams, and EMR to support personalisation of content to our users. We are looking for someone to help us as we continue to evolve the architecture and technology stack of our data systems. We use Python as our primary language for all data projects, however a couple of systems remain in PHP and are currently being migrated to Python. We manage our own AWS account and Kubernetes cluster with EKS. We work alongside our Platform Team to ensure we are following best practices and company standards. This approach enables us to maintain our own infrastructure. You will have good software development experience with Python coupled with strong SQL skills. In addition, you will also have a strong desire to work with Docker, Kubernetes, Airflow and the AWS data technologies such as Athena, Redshift, EMR and various other tools in the AWS ecosystem. You would be joining a team of 25+ engineers across mobile, web, data and platform. We look for engineers who have excellent attention to detail and care about the features they implement. What we need from you: At least 3 years of relevant data engineering experience Strong Python and SQL skills Experience with dbt Experience with AWS Experience working with a columnar database such as Redshift Strong Experience with ETL/ELT and the management of data pipelines Familiarity with snowplow Experience with Data Integration from a variety of sources Good cross-team communication skills Familiarity with continuous integration, unit testing tools and related practices Understanding of Agile Scrum software development lifecycle What you'll be doing: Implementing and maintaining ETL pipelines using Airflow & AWS technologies Contributing to data-driven tools owned by the data engineering team, including content personalisation Responsibility of ingestion framework and processes Helping monitor and look after our data infrastructure in AWS Supporting our Business Analytics & Marketing teams What you'll get from us: A culture that pushes you to be your best self Two uninterrupted hours a week dedicated to your personal development A tailored personal development plan, to ensure that you can continue to grow and achieve your career goals The flexibility to get that perfect work/life balance Zumba, football, table football, and pool table to work off all the free snacks Quarterly socials to let your hair down with your team Working Pattern : Hybrid, minimum 1-2 days per week in our London office (Yeoman House, Sekforde Street, London, EC1R 0HF) Join us at our bright, spacious open-plan office. Situated in the heart of London, we occupy all three floors of Yeoman House in Clerkenwell. The area is home to a wonderful array of cafés, restaurants, pubs and galleries. There's some of the best street food London has to offer right on our doorstep. You will also have flexibility to get that perfect work/life balance by working some days remotely if you wish. So, what's next? If we've piqued your interest, all you need to do to apply is send us your CV with a 200-300 word covering letter outlining why this role and VoucherCodes appeal to you (remember we'll also have your CV so use this space to tell us what you're excited about rather than what you've already achieved). Vouchercodes is part of Ziff Davis. Ziff Davis (Nasdaq: ZD) is a vertically focused digital media and internet company whose portfolio includes leading brands in technology, entertainment, shopping, health, cybersecurity, and martech. We aspire to build a sustainable, profitable and growing enterprise - and much of this is dependent on the calibre of people, technology and culture that are all important parts of the transaction. Want to know more? Check out our careers page You have been redirected to a Ziff Davis job page
What We're All About at Kroo Kroo has a big vision. To be the first bank that is both trusted and loved by its customers. We're helping people take control of their financial future and achieve their goals, whilst making a positive impact on the planet. Here at Kroo, doing what is right is in our DNA. We act with integrity, transparency and honesty. We think big, dream big, and relentlessly pursue our goals. We like to be bold, break new ground, and we never stop learning. But most importantly, we are on this journey together. How You'll Contribute You'll report into the Tech Lead and will take ownership of the existing data analytics solution. You will drive the evolution of this critical piece of our decision making capability so that it remains efficient, fit for purpose and scalable. As we build the best bank for our customers, the ability to make informed and timely decisions is critical to our success. Kroo Bank's engineering and products teams are clustered around our main banking products - Accounts, Lending, Overdrafts and so on. Data Analytics works across all these products and other business areas like Finance and Operations to deliver business intelligence. You will work on: Design and build a company wide data model. Build and maintain an effective data stack, empowering all parts of the business to make timely effective decisions. Collaborate with stakeholders and design analytic solutions to be applied across the business. Oversee the collection, storage, management, quality, and protection of data. Extensive experience wrangling raw datasets into published data for analytic use cases: MI, BI or data science. Skilled in SQL and proficient in building data pipelines Experience in collaborating with stakeholders and establishing consensus over prioritisation and implementation Able to define and communicate technical architectures and data models to both business users and engineers Excellent understanding of data architecture principles and how these can be practically applied. Experience with Python or other scripting languages Good working knowledge of the AWS data management stack (RDS, S3, Redshift, Athena, Glue, QuickSight) or Google data management stack (Cloud Storage, Airflow, Big Query, DataPlex, Looker) About Our Process We can be flexible with the structure of our interview process if someone's circumstances or timescales require it but our general structure is: 20-30 minute conversation with a member of our Talent Team 45-minute Hangout Interview with our Data Engineering Lead 1-hour System Design interview with members of our Engineering Team and a 30 minute conversation with our CTO Please let us know if you have any specific requirements or need assistance so we can be as accommodating as possible for you. What we offer: At our cutting-edge fintech company, we know that attracting and retaining the best talent means offering top-notch benefits that help our employees thrive both in and outside of work. Check out what we currently offer: Generous holiday time: 25 days annual leave, 8 bank holidays, 1 Kroo bank holiday (June 24th), and 1 day off during the week of your birthday. Personal days: We know that life can be unpredictable, so we offer 3 personal days to use as needed. Employer-sponsored volunteer program: We're passionate about giving back to our community, and we support our employees in doing the same with up to 4 hours per month of employer-sponsored volunteer time. Mental health support: We care about the mental health of our team members and offer access to Spill, our mental health support partner. Workplace pension: We want you to feel secure about your future, so we offer a workplace pension with a 5% employee contribution and a 3% employer top-up. Top-notch equipment: We provide top-of-the-line equipment necessary for smooth hybrid work, including a MacBook laptop. Additionally, we also offer support in establishing your home office by contributing towards your setup if required. Modern office: When you're in the office, you'll enjoy access to our modern, bustling workspace in Central London (Farringdon). Cycle to Work scheme: We encourage sustainable transportation with our Cycle to Work scheme. Electric Car scheme: We're committed to reducing our carbon footprint, and our Electric Car scheme makes it easy for our employees to do the same. Enhanced parental leave: We know that family comes first, and we offer an enhanced parental leave policy to support our employees in starting and growing their families. Room for growth: As a fast-paced, high-growth start-up, we're dedicated to providing our employees with room to grow and excel. You get full healthcare for you and your nuclear family via Vitality. Hybrid Working: At Kroo Bank, we have a hybrid policy that gives both individuals and teams a lot of freedom when it comes to using the office space to boost productivity. Our London office is a great resource when used effectively. So, employees who can occasionally come to the office are a good fit for how we work right now. Keep in mind that this job involves working from Monday to Friday, with a mix of remote and office work, so you won't need to be on-site all the time. Diversity and Inclusion: We wholeheartedly uphold our commitment to fostering a diverse and inclusive workplace. Every employee is highly regarded, respected, and supported without any form of judgement or prejudice. We consider Diversity, Equality, and Inclusion as fundamental pillars guiding our path in all aspects of our bank. We also ensure that reasonable adjustments are made available to all candidates throughout the recruitment process. To all Recruitment Agencies: At Kroo Bank, agency resumes are strictly prohibited. Do not submit agency resumes or forward them to our job advertisements or Kroo Bank employees. Be aware that Kroo Bank will not assume any responsibility for fees incurred due to unsolicited resumes. To ensure a fair and efficient application process, all candidates are kindly requested to submit their applications directly through the advertised platform. We kindly ask that you refrain from reaching out to the company or its employees via email, LinkedIn, or any other communication channels for inquiries or updates. Please note that any attempts to contact us through these channels will not receive a response. Thank you for your understanding and cooperation.
Jul 05, 2025
Full time
What We're All About at Kroo Kroo has a big vision. To be the first bank that is both trusted and loved by its customers. We're helping people take control of their financial future and achieve their goals, whilst making a positive impact on the planet. Here at Kroo, doing what is right is in our DNA. We act with integrity, transparency and honesty. We think big, dream big, and relentlessly pursue our goals. We like to be bold, break new ground, and we never stop learning. But most importantly, we are on this journey together. How You'll Contribute You'll report into the Tech Lead and will take ownership of the existing data analytics solution. You will drive the evolution of this critical piece of our decision making capability so that it remains efficient, fit for purpose and scalable. As we build the best bank for our customers, the ability to make informed and timely decisions is critical to our success. Kroo Bank's engineering and products teams are clustered around our main banking products - Accounts, Lending, Overdrafts and so on. Data Analytics works across all these products and other business areas like Finance and Operations to deliver business intelligence. You will work on: Design and build a company wide data model. Build and maintain an effective data stack, empowering all parts of the business to make timely effective decisions. Collaborate with stakeholders and design analytic solutions to be applied across the business. Oversee the collection, storage, management, quality, and protection of data. Extensive experience wrangling raw datasets into published data for analytic use cases: MI, BI or data science. Skilled in SQL and proficient in building data pipelines Experience in collaborating with stakeholders and establishing consensus over prioritisation and implementation Able to define and communicate technical architectures and data models to both business users and engineers Excellent understanding of data architecture principles and how these can be practically applied. Experience with Python or other scripting languages Good working knowledge of the AWS data management stack (RDS, S3, Redshift, Athena, Glue, QuickSight) or Google data management stack (Cloud Storage, Airflow, Big Query, DataPlex, Looker) About Our Process We can be flexible with the structure of our interview process if someone's circumstances or timescales require it but our general structure is: 20-30 minute conversation with a member of our Talent Team 45-minute Hangout Interview with our Data Engineering Lead 1-hour System Design interview with members of our Engineering Team and a 30 minute conversation with our CTO Please let us know if you have any specific requirements or need assistance so we can be as accommodating as possible for you. What we offer: At our cutting-edge fintech company, we know that attracting and retaining the best talent means offering top-notch benefits that help our employees thrive both in and outside of work. Check out what we currently offer: Generous holiday time: 25 days annual leave, 8 bank holidays, 1 Kroo bank holiday (June 24th), and 1 day off during the week of your birthday. Personal days: We know that life can be unpredictable, so we offer 3 personal days to use as needed. Employer-sponsored volunteer program: We're passionate about giving back to our community, and we support our employees in doing the same with up to 4 hours per month of employer-sponsored volunteer time. Mental health support: We care about the mental health of our team members and offer access to Spill, our mental health support partner. Workplace pension: We want you to feel secure about your future, so we offer a workplace pension with a 5% employee contribution and a 3% employer top-up. Top-notch equipment: We provide top-of-the-line equipment necessary for smooth hybrid work, including a MacBook laptop. Additionally, we also offer support in establishing your home office by contributing towards your setup if required. Modern office: When you're in the office, you'll enjoy access to our modern, bustling workspace in Central London (Farringdon). Cycle to Work scheme: We encourage sustainable transportation with our Cycle to Work scheme. Electric Car scheme: We're committed to reducing our carbon footprint, and our Electric Car scheme makes it easy for our employees to do the same. Enhanced parental leave: We know that family comes first, and we offer an enhanced parental leave policy to support our employees in starting and growing their families. Room for growth: As a fast-paced, high-growth start-up, we're dedicated to providing our employees with room to grow and excel. You get full healthcare for you and your nuclear family via Vitality. Hybrid Working: At Kroo Bank, we have a hybrid policy that gives both individuals and teams a lot of freedom when it comes to using the office space to boost productivity. Our London office is a great resource when used effectively. So, employees who can occasionally come to the office are a good fit for how we work right now. Keep in mind that this job involves working from Monday to Friday, with a mix of remote and office work, so you won't need to be on-site all the time. Diversity and Inclusion: We wholeheartedly uphold our commitment to fostering a diverse and inclusive workplace. Every employee is highly regarded, respected, and supported without any form of judgement or prejudice. We consider Diversity, Equality, and Inclusion as fundamental pillars guiding our path in all aspects of our bank. We also ensure that reasonable adjustments are made available to all candidates throughout the recruitment process. To all Recruitment Agencies: At Kroo Bank, agency resumes are strictly prohibited. Do not submit agency resumes or forward them to our job advertisements or Kroo Bank employees. Be aware that Kroo Bank will not assume any responsibility for fees incurred due to unsolicited resumes. To ensure a fair and efficient application process, all candidates are kindly requested to submit their applications directly through the advertised platform. We kindly ask that you refrain from reaching out to the company or its employees via email, LinkedIn, or any other communication channels for inquiries or updates. Please note that any attempts to contact us through these channels will not receive a response. Thank you for your understanding and cooperation.
Data Engineer Technology - London, London, City of (Hybrid) About IFX Payments We're an award-winning global provider of foreign exchange and payment solutions. At IFX, our mission is to become the number one service-led alternative banking partner in EMEA for corporates and Financial Institutions that add value beyond the transaction. We have one guiding principle: to Win. Properly. What we offer Everyone at IFX Payments has a meaningful and impactful role to play in helping us achieve that goal. We take pride in the quality of our work but balance that with the speed, intent, tenacity, and focus needed to win. We're a high-performance team who can trust each other as individuals to get the job done so we can be successful together. Being part of IFX Payments, you'll receive every opportunity to thrive in your role to contribute to that success. We'll invest in you along the way to genuinely help you grow and take your career to new and exciting places. You'll work alongside experienced industry leaders, receive guidance from pioneering performance coaches and have the option to gain qualifications in your field that help you realise your ambitions. In exchange, we don't expect anything extra from you during your time here. We only ask you to do one thing: Make it count. 25 days of annual leave + bank holidays and your birthday off. Pension auto-enrolment with salary sacrifice contributions. Healthcare cash plan including support for dental, physio and therapies. Discounts on fitness, cinema discounts, shopping, travel, entertainment and more! Life Insurance. Cycle to work. Nursery fees salary exchange. Employee Assistant Programme Career progression with excellent training and development. Company events - Pub nights, sporting events, seasonal parties, socials What's the role? Job Title: Data Engineer Team: Technology Location: London Overview of the role IFX is going through major technological transformation and as a part of which, we are building a brand new modern data platform to enable centralised reporting for the business. We are looking for a passionate and driven data engineer who will work with Head of Data and Enterprise architecture to build data engineering process in AWS using modern tech stack. Responsibilities Data Pipeline Development : Design, build, and maintain scalable data pipelines to ingest, process, and store large sets of financial data from various internal and external sources. Cloud Infrastructure Management : Leverage AWS services such as S3, Redshift, Lambda, Glue, and others to develop and maintain robust cloud-based data infrastructure. Automation : Use Terraform to automate infrastructure provisioning, deployment, and configuration, ensuring efficiency and repeatability in cloud environments. Database Design & Optimisation : Design and optimise complex SQL queries, and relational databases (e.g., Amazon Redshift, PostgreSQL, MySQL) to enable fast, efficient data retrieval and analytics. Data Transformation : Apply ETL/ELT processes to transform raw financial data into usable insights for business intelligence, reporting, and predictive analytics. Collaboration with Teams : Work closely with platform team, data analysts, and business teams to ensure that the data infrastructure supports organisational goals, enabling accurate reporting and decision-making. Version Control : Utilise GitHub for version control, ensuring proper code management and collaboration within a distributed engineering team. Automated Testing & Quality Assurance : Develop and implement automated testing processes to ensure the accuracy, security, and performance of data pipelines and integrations. Documentation & Best Practices : Maintain clear, well-organised documentation for all data engineering projects, including data pipeline processes, cloud infrastructure, and codebase. Data Governance & Security : Implement and enforce data governance policies and security practices, ensuring compliance with financial regulations and protecting sensitive financial data. Troubleshooting & Optimisation : Monitor and troubleshoot data pipeline performance, addressing bottlenecks or issues promptly to ensure smooth data flow and operation. Requirements Several years of experience in data engineering, preferably in the financial services or similar regulated industries. Strong understanding of data engineering concepts, including data modelling, ETL/ELT processes, and data warehousing. Proven experience with AWS services (e.g., S3, Redshift, Lambda, ECS, ECR, SNS, Eventbridge, CloudWatch, Athena etc.) for building and maintaining scalable data solutions in the cloud. Technical Skills (must have): Python: Proficient in Python for developing custom ETL solutions, data processing, and integration with cloud platforms. Terraform: Experience with Terraform to manage infrastructure as code, ensuring scalable and repeatable cloud environment provisioning. SQL: Advanced proficiency in SQL for querying and optimising relational databases Version Control: Experience with GitHub for managing code, reviewing pull requests, and collaborating in a distributed team environment. Automated Testing: Familiarity with automated testing frameworks (e.g., PyTest, unittest) to ensure code reliability, accuracy, and performance. Additional Skills: Strong understanding of data governance, data quality, and security best practices, particularly in financial and regulated environments. Excellent troubleshooting and debugging skills for data pipelines and cloud infrastructure. Soft Skills: Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Ability to work independently, as well as collaboratively, in an agile and fast-paced environment. Problem-solving mindset, with the ability to think critically and troubleshoot issues quickly. Detail-oriented with a passion for working with large datasets and delivering accurate, high-quality results. A true team player with a winning mentality and strong work ethic committed to continuous improvement and high performance . Adaptable, tenacious and flexible who is able to perform under pressure . Diversity & Inclusion We believe that diversity and inclusion are essential to our success. We are committed to fostering a culture where everyone feels valued and respected, regardless of their background,identity or experiences. By embracing diverse perspectives and promoting equity, we aim to create an environment where all employees can perform and reach their full potential. Additional Information - We work on a hybrid basis from our office in central London. - You must be eligible to work in the UK to be considered for this position. - Full background check will be carried out. First Name Last Name Email Phone Address City County -Select- Postcode Country United Kingdom Resume No file selected Date Available Desired Pay LinkedIn Profile URL Thank You Your application was submitted successfully
Jul 05, 2025
Full time
Data Engineer Technology - London, London, City of (Hybrid) About IFX Payments We're an award-winning global provider of foreign exchange and payment solutions. At IFX, our mission is to become the number one service-led alternative banking partner in EMEA for corporates and Financial Institutions that add value beyond the transaction. We have one guiding principle: to Win. Properly. What we offer Everyone at IFX Payments has a meaningful and impactful role to play in helping us achieve that goal. We take pride in the quality of our work but balance that with the speed, intent, tenacity, and focus needed to win. We're a high-performance team who can trust each other as individuals to get the job done so we can be successful together. Being part of IFX Payments, you'll receive every opportunity to thrive in your role to contribute to that success. We'll invest in you along the way to genuinely help you grow and take your career to new and exciting places. You'll work alongside experienced industry leaders, receive guidance from pioneering performance coaches and have the option to gain qualifications in your field that help you realise your ambitions. In exchange, we don't expect anything extra from you during your time here. We only ask you to do one thing: Make it count. 25 days of annual leave + bank holidays and your birthday off. Pension auto-enrolment with salary sacrifice contributions. Healthcare cash plan including support for dental, physio and therapies. Discounts on fitness, cinema discounts, shopping, travel, entertainment and more! Life Insurance. Cycle to work. Nursery fees salary exchange. Employee Assistant Programme Career progression with excellent training and development. Company events - Pub nights, sporting events, seasonal parties, socials What's the role? Job Title: Data Engineer Team: Technology Location: London Overview of the role IFX is going through major technological transformation and as a part of which, we are building a brand new modern data platform to enable centralised reporting for the business. We are looking for a passionate and driven data engineer who will work with Head of Data and Enterprise architecture to build data engineering process in AWS using modern tech stack. Responsibilities Data Pipeline Development : Design, build, and maintain scalable data pipelines to ingest, process, and store large sets of financial data from various internal and external sources. Cloud Infrastructure Management : Leverage AWS services such as S3, Redshift, Lambda, Glue, and others to develop and maintain robust cloud-based data infrastructure. Automation : Use Terraform to automate infrastructure provisioning, deployment, and configuration, ensuring efficiency and repeatability in cloud environments. Database Design & Optimisation : Design and optimise complex SQL queries, and relational databases (e.g., Amazon Redshift, PostgreSQL, MySQL) to enable fast, efficient data retrieval and analytics. Data Transformation : Apply ETL/ELT processes to transform raw financial data into usable insights for business intelligence, reporting, and predictive analytics. Collaboration with Teams : Work closely with platform team, data analysts, and business teams to ensure that the data infrastructure supports organisational goals, enabling accurate reporting and decision-making. Version Control : Utilise GitHub for version control, ensuring proper code management and collaboration within a distributed engineering team. Automated Testing & Quality Assurance : Develop and implement automated testing processes to ensure the accuracy, security, and performance of data pipelines and integrations. Documentation & Best Practices : Maintain clear, well-organised documentation for all data engineering projects, including data pipeline processes, cloud infrastructure, and codebase. Data Governance & Security : Implement and enforce data governance policies and security practices, ensuring compliance with financial regulations and protecting sensitive financial data. Troubleshooting & Optimisation : Monitor and troubleshoot data pipeline performance, addressing bottlenecks or issues promptly to ensure smooth data flow and operation. Requirements Several years of experience in data engineering, preferably in the financial services or similar regulated industries. Strong understanding of data engineering concepts, including data modelling, ETL/ELT processes, and data warehousing. Proven experience with AWS services (e.g., S3, Redshift, Lambda, ECS, ECR, SNS, Eventbridge, CloudWatch, Athena etc.) for building and maintaining scalable data solutions in the cloud. Technical Skills (must have): Python: Proficient in Python for developing custom ETL solutions, data processing, and integration with cloud platforms. Terraform: Experience with Terraform to manage infrastructure as code, ensuring scalable and repeatable cloud environment provisioning. SQL: Advanced proficiency in SQL for querying and optimising relational databases Version Control: Experience with GitHub for managing code, reviewing pull requests, and collaborating in a distributed team environment. Automated Testing: Familiarity with automated testing frameworks (e.g., PyTest, unittest) to ensure code reliability, accuracy, and performance. Additional Skills: Strong understanding of data governance, data quality, and security best practices, particularly in financial and regulated environments. Excellent troubleshooting and debugging skills for data pipelines and cloud infrastructure. Soft Skills: Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Ability to work independently, as well as collaboratively, in an agile and fast-paced environment. Problem-solving mindset, with the ability to think critically and troubleshoot issues quickly. Detail-oriented with a passion for working with large datasets and delivering accurate, high-quality results. A true team player with a winning mentality and strong work ethic committed to continuous improvement and high performance . Adaptable, tenacious and flexible who is able to perform under pressure . Diversity & Inclusion We believe that diversity and inclusion are essential to our success. We are committed to fostering a culture where everyone feels valued and respected, regardless of their background,identity or experiences. By embracing diverse perspectives and promoting equity, we aim to create an environment where all employees can perform and reach their full potential. Additional Information - We work on a hybrid basis from our office in central London. - You must be eligible to work in the UK to be considered for this position. - Full background check will be carried out. First Name Last Name Email Phone Address City County -Select- Postcode Country United Kingdom Resume No file selected Date Available Desired Pay LinkedIn Profile URL Thank You Your application was submitted successfully
About us: We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our AI systems power critical aspects of our platform, including: AI agents improving customer support and changing how we travel Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich data sets with cutting edge algorithms. What unites our team is an expertise in the field, a love of what we do and the desire to create impactful solutions to support Trainline's goals of encouraging sustainable travel. As a part of Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning Engineer at Trainline you will Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenance Partner with stakeholders to propose innovative data products that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enable the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation We'd love to hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML Flow Have experience with agile delivery methodologies and CI/CD processes and tools Have a broad understanding of data extraction, data manipulation and feature engineering techniques Are familiar with statistical methodologies. Have good communication skills Nice to have Experience with LangGraph or LangChain Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! Our values represent the things that matter most to us and what we live and breathe every day, in everything we do: Think Big - We're building the future of rail Own It - We focus on every customer, partner and journey Travel Together - We're one team Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn , Instagram and Glassdoor !
Jul 04, 2025
Full time
About us: We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels. Great journeys start with Trainline Now Europe's number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, and affordable as it should be. Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey. Introducing Machine Learning and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our AI systems power critical aspects of our platform, including: AI agents improving customer support and changing how we travel Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers Personalised user experiences enhanced by generative AI Data-driven digital marketing systems Our machine learning teams own the complete delivery lifecycle from ideation to production. We work closely with stakeholders across the business to expand the understanding and impact of machine learning and AI throughout Trainline. We are looking for a Machine Learning Engineer to join the Product ML team to help shape the future of train travel. You will build highly innovative AI and ML products working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich data sets with cutting edge algorithms. What unites our team is an expertise in the field, a love of what we do and the desire to create impactful solutions to support Trainline's goals of encouraging sustainable travel. As a part of Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a Machine Learning Engineer at Trainline you will Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection and tuning, offline and online evaluation, deployments and maintenance Partner with stakeholders to propose innovative data products that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enable the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and foster a culture of rigorous learning and experimentation We'd love to hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have experience with Spark Have knowledge of DevOps technologies such as Docker and Terraform and ML Ops practices and platforms like ML Flow Have experience with agile delivery methodologies and CI/CD processes and tools Have a broad understanding of data extraction, data manipulation and feature engineering techniques Are familiar with statistical methodologies. Have good communication skills Nice to have Experience with LangGraph or LangChain Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! Our values represent the things that matter most to us and what we live and breathe every day, in everything we do: Think Big - We're building the future of rail Own It - We focus on every customer, partner and journey Travel Together - We're one team Do Good - We make a positive impact We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity - gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated. Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn , Instagram and Glassdoor !
What We're All About at Kroo Kroo has a big vision. To be the first bank that is both trusted and loved by its customers. We're helping people take control of their financial future and achieve their goals, whilst making a positive impact on the planet. Here at Kroo, doing what is right is in our DNA. We act with integrity, transparency and honesty. We think big, dream big, and relentlessly pursue our goals. We like to be bold, break new ground, and we never stop learning. But most importantly, we are on this journey together. How You'll Contribute You'll report into the Tech Lead and will take ownership of the existing data analytics solution. You will drive the evolution of this critical piece of our decision making capability so that it remains efficient, fit for purpose and scalable. As we build the best bank for our customers, the ability to make informed and timely decisions is critical to our success. Kroo Bank's engineering and products teams are clustered around our main banking products - Accounts, Lending, Overdrafts and so on. Data Analytics works across all these products and other business areas like Finance and Operations to deliver business intelligence. You will work on: Design and build a company wide data model. Build and maintain an effective data stack, empowering all parts of the business to make timely effective decisions. Collaborate with stakeholders and design analytic solutions to be applied across the business. Oversee the collection, storage, management, quality, and protection of data. Extensive experience wrangling raw datasets into published data for analytic use cases: MI, BI or data science. Skilled in SQL and proficient in building data pipelines Experience in collaborating with stakeholders and establishing consensus over prioritisation and implementation Able to define and communicate technical architectures and data models to both business users and engineers Excellent understanding of data architecture principles and how these can be practically applied. Experience with Python or other scripting languages Good working knowledge of the AWS data management stack (RDS, S3, Redshift, Athena, Glue, QuickSight) or Google data management stack (Cloud Storage, Airflow, Big Query, DataPlex, Looker) About Our Process We can be flexible with the structure of our interview process if someone's circumstances or timescales require it but our general structure is: 20-30 minute conversation with a member of our Talent Team 45-minute Hangout Interview with our Data Engineering Lead 1-hour System Design interview with members of our Engineering Team and a 30 minute conversation with our CTO Please let us know if you have any specific requirements or need assistance so we can be as accommodating as possible for you. What we offer: At our cutting-edge fintech company, we know that attracting and retaining the best talent means offering top-notch benefits that help our employees thrive both in and outside of work. Check out what we currently offer: Generous holiday time: 25 days annual leave, 8 bank holidays, 1 Kroo bank holiday (June 24th), and 1 day off during the week of your birthday. Personal days: We know that life can be unpredictable, so we offer 3 personal days to use as needed. Employer-sponsored volunteer program: We're passionate about giving back to our community, and we support our employees in doing the same with up to 4 hours per month of employer-sponsored volunteer time. Mental health support: We care about the mental health of our team members and offer access to Spill, our mental health support partner. Workplace pension: We want you to feel secure about your future, so we offer a workplace pension with a 5% employee contribution and a 3% employer top-up. Top-notch equipment: We provide top-of-the-line equipment necessary for smooth hybrid work, including a MacBook laptop. Additionally, we also offer support in establishing your home office by contributing towards your setup if required. Modern office: When you're in the office, you'll enjoy access to our modern, bustling workspace in Central London (Farringdon). Cycle to Work scheme: We encourage sustainable transportation with our Cycle to Work scheme. Electric Car scheme: We're committed to reducing our carbon footprint, and our Electric Car scheme makes it easy for our employees to do the same. Enhanced parental leave: We know that family comes first, and we offer an enhanced parental leave policy to support our employees in starting and growing their families. Room for growth: As a fast-paced, high-growth start-up, we're dedicated to providing our employees with room to grow and excel. You get full healthcare for you and your nuclear family via Vitality. Hybrid Working: At Kroo Bank, we have a hybrid policy that gives both individuals and teams a lot of freedom when it comes to using the office space to boost productivity. Our London office is a great resource when used effectively. So, employees who can occasionally come to the office are a good fit for how we work right now. Keep in mind that this job involves working from Monday to Friday, with a mix of remote and office work, so you won't need to be on-site all the time. Diversity and Inclusion: We wholeheartedly uphold our commitment to fostering a diverse and inclusive workplace. Every employee is highly regarded, respected, and supported without any form of judgement or prejudice. We consider Diversity, Equality, and Inclusion as fundamental pillars guiding our path in all aspects of our bank. We also ensure that reasonable adjustments are made available to all candidates throughout the recruitment process. To all Recruitment Agencies: At Kroo Bank, agency resumes are strictly prohibited. Do not submit agency resumes or forward them to our job advertisements or Kroo Bank employees. Be aware that Kroo Bank will not assume any responsibility for fees incurred due to unsolicited resumes. To ensure a fair and efficient application process, all candidates are kindly requested to submit their applications directly through the advertised platform. We kindly ask that you refrain from reaching out to the company or its employees via email, LinkedIn, or any other communication channels for inquiries or updates. Please note that any attempts to contact us through these channels will not receive a response. Thank you for your understanding and cooperation.
Jul 04, 2025
Full time
What We're All About at Kroo Kroo has a big vision. To be the first bank that is both trusted and loved by its customers. We're helping people take control of their financial future and achieve their goals, whilst making a positive impact on the planet. Here at Kroo, doing what is right is in our DNA. We act with integrity, transparency and honesty. We think big, dream big, and relentlessly pursue our goals. We like to be bold, break new ground, and we never stop learning. But most importantly, we are on this journey together. How You'll Contribute You'll report into the Tech Lead and will take ownership of the existing data analytics solution. You will drive the evolution of this critical piece of our decision making capability so that it remains efficient, fit for purpose and scalable. As we build the best bank for our customers, the ability to make informed and timely decisions is critical to our success. Kroo Bank's engineering and products teams are clustered around our main banking products - Accounts, Lending, Overdrafts and so on. Data Analytics works across all these products and other business areas like Finance and Operations to deliver business intelligence. You will work on: Design and build a company wide data model. Build and maintain an effective data stack, empowering all parts of the business to make timely effective decisions. Collaborate with stakeholders and design analytic solutions to be applied across the business. Oversee the collection, storage, management, quality, and protection of data. Extensive experience wrangling raw datasets into published data for analytic use cases: MI, BI or data science. Skilled in SQL and proficient in building data pipelines Experience in collaborating with stakeholders and establishing consensus over prioritisation and implementation Able to define and communicate technical architectures and data models to both business users and engineers Excellent understanding of data architecture principles and how these can be practically applied. Experience with Python or other scripting languages Good working knowledge of the AWS data management stack (RDS, S3, Redshift, Athena, Glue, QuickSight) or Google data management stack (Cloud Storage, Airflow, Big Query, DataPlex, Looker) About Our Process We can be flexible with the structure of our interview process if someone's circumstances or timescales require it but our general structure is: 20-30 minute conversation with a member of our Talent Team 45-minute Hangout Interview with our Data Engineering Lead 1-hour System Design interview with members of our Engineering Team and a 30 minute conversation with our CTO Please let us know if you have any specific requirements or need assistance so we can be as accommodating as possible for you. What we offer: At our cutting-edge fintech company, we know that attracting and retaining the best talent means offering top-notch benefits that help our employees thrive both in and outside of work. Check out what we currently offer: Generous holiday time: 25 days annual leave, 8 bank holidays, 1 Kroo bank holiday (June 24th), and 1 day off during the week of your birthday. Personal days: We know that life can be unpredictable, so we offer 3 personal days to use as needed. Employer-sponsored volunteer program: We're passionate about giving back to our community, and we support our employees in doing the same with up to 4 hours per month of employer-sponsored volunteer time. Mental health support: We care about the mental health of our team members and offer access to Spill, our mental health support partner. Workplace pension: We want you to feel secure about your future, so we offer a workplace pension with a 5% employee contribution and a 3% employer top-up. Top-notch equipment: We provide top-of-the-line equipment necessary for smooth hybrid work, including a MacBook laptop. Additionally, we also offer support in establishing your home office by contributing towards your setup if required. Modern office: When you're in the office, you'll enjoy access to our modern, bustling workspace in Central London (Farringdon). Cycle to Work scheme: We encourage sustainable transportation with our Cycle to Work scheme. Electric Car scheme: We're committed to reducing our carbon footprint, and our Electric Car scheme makes it easy for our employees to do the same. Enhanced parental leave: We know that family comes first, and we offer an enhanced parental leave policy to support our employees in starting and growing their families. Room for growth: As a fast-paced, high-growth start-up, we're dedicated to providing our employees with room to grow and excel. You get full healthcare for you and your nuclear family via Vitality. Hybrid Working: At Kroo Bank, we have a hybrid policy that gives both individuals and teams a lot of freedom when it comes to using the office space to boost productivity. Our London office is a great resource when used effectively. So, employees who can occasionally come to the office are a good fit for how we work right now. Keep in mind that this job involves working from Monday to Friday, with a mix of remote and office work, so you won't need to be on-site all the time. Diversity and Inclusion: We wholeheartedly uphold our commitment to fostering a diverse and inclusive workplace. Every employee is highly regarded, respected, and supported without any form of judgement or prejudice. We consider Diversity, Equality, and Inclusion as fundamental pillars guiding our path in all aspects of our bank. We also ensure that reasonable adjustments are made available to all candidates throughout the recruitment process. To all Recruitment Agencies: At Kroo Bank, agency resumes are strictly prohibited. Do not submit agency resumes or forward them to our job advertisements or Kroo Bank employees. Be aware that Kroo Bank will not assume any responsibility for fees incurred due to unsolicited resumes. To ensure a fair and efficient application process, all candidates are kindly requested to submit their applications directly through the advertised platform. We kindly ask that you refrain from reaching out to the company or its employees via email, LinkedIn, or any other communication channels for inquiries or updates. Please note that any attempts to contact us through these channels will not receive a response. Thank you for your understanding and cooperation.
Senior Delivery Consultant: Data Analytics & GenAI Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support pre-sales and deliver consulting engagements? Do you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like leading teams through high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? AWS Professional Services Public Sector ANZ are hiring a highly technical senior cloud architect specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive business value from the latest Data Analytics and GenAI services. Our consultants will develop and deliver proof-of-concept projects, technical workshops and support complex projects. These professional services engagements will focus on customer solutions such as batch, real-time data capture and analysis, driving data driven decisions and desired customer outcomes. Must hold or be able to attain an Australian Government Security Vetting Agency clearance (see ). Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and development of new data applications using AWS cloud services. Insights: Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. Push the envelope: Artificial Intelligence is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services. A day in the life AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. What if I don't meet all the requirements? That's okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You'll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today. BASIC QUALIFICATIONS - 10+ years of technical specialist, design and architecture experience - 10+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 10+ years of consulting, design and implementation of serverless distributed solutions experience - Australian citizen with ability to obtain security clearance. PREFERRED QUALIFICATIONS - AWS Professional level certification - 10+ years of IT platform implementation in a technical and analytical role experience Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
Jul 04, 2025
Full time
Senior Delivery Consultant: Data Analytics & GenAI Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support pre-sales and deliver consulting engagements? Do you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like leading teams through high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? AWS Professional Services Public Sector ANZ are hiring a highly technical senior cloud architect specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive business value from the latest Data Analytics and GenAI services. Our consultants will develop and deliver proof-of-concept projects, technical workshops and support complex projects. These professional services engagements will focus on customer solutions such as batch, real-time data capture and analysis, driving data driven decisions and desired customer outcomes. Must hold or be able to attain an Australian Government Security Vetting Agency clearance (see ). Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and development of new data applications using AWS cloud services. Insights: Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. Push the envelope: Artificial Intelligence is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services. A day in the life AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. What if I don't meet all the requirements? That's okay! We hire people who have a passion for learning and are curious. You will be supported in your career development here at AWS. You will have plenty of opportunities to build your technical, leadership, business and consulting skills. Your onboarding will set you up for success, including a combination of formal and informal training. You'll also have a chance to gain AWS certifications and access mentorship programs. You will learn from and collaborate with some of the brightest technical minds in the industry today. BASIC QUALIFICATIONS - 10+ years of technical specialist, design and architecture experience - 10+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 10+ years of consulting, design and implementation of serverless distributed solutions experience - Australian citizen with ability to obtain security clearance. PREFERRED QUALIFICATIONS - AWS Professional level certification - 10+ years of IT platform implementation in a technical and analytical role experience Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status.
Quantitative Research - Athena Analytics Developer - Associate or Vice President LONDON, LONDON, United Kingdom Job Identification Job Category Data Management Business Unit Commercial & Investment Bank Posting Date 05/28/2025, 09:21 AM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Quantitative Researchers (QR) are key part of JP Morgan's markets business, developing and maintaining sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and risk manage financial transactions. We develop these inAthena, which is a next generation risk, pricing, and trade management platform built in-house at JP Morgan. Job summary: As an Associate or Vice Presidentwithin Quantitative Research Athena and Analytics team, you will be focusing on cross asset topics ranging from pricing library and market model design, risk frameworks, UI design to high performance computing. Athena is designed to enable rapid innovation on the desk by offering Quantitative Analysts, Risk Managers and Technologists a consistent, cross-asset portfolio of models, frameworks and tools to use in building financial applications. The power of the Athena platform derives from several key technical innovations: a powerful Dependency Graph implementation, a ubiquitous data store called Hydra, a Real-Time Risk Reporting framework, a robust Deal Model, and a forward propagating, event-driven graph called Reactive. Job responsibilities: Developing Athena (Python) analytics software that is used to price and risk manage financial products Designing efficient, scalable and usable cross asset frameworks with the aim of establishing golden standards across all QR streams Optimizing code and business processes, providing expert guidance to desk-aligned quant teams in using frameworks Support of end users of the frameworks, communicating with desk-aligned quant teams and technology groups. Required qualifications, capabilities, and skills: You have a degree in a quantitative field, e.g. computer science, mathematics, engineering, physics You have excellent software and algorithm design and development skills You are passionate about software design and writing high quality code You demonstrate experience working in pricing libraries and risk management systems You have a good understanding of trade life cycle, MTM, PnL and other processes that govern day to day business operations You have excellent oral and written communication skills Preferred qualifications, capabilities, and skills: You have a knowledge of finance or quantitative finance You have experience writing high quality Python About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Jul 03, 2025
Full time
Quantitative Research - Athena Analytics Developer - Associate or Vice President LONDON, LONDON, United Kingdom Job Identification Job Category Data Management Business Unit Commercial & Investment Bank Posting Date 05/28/2025, 09:21 AM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Quantitative Researchers (QR) are key part of JP Morgan's markets business, developing and maintaining sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and risk manage financial transactions. We develop these inAthena, which is a next generation risk, pricing, and trade management platform built in-house at JP Morgan. Job summary: As an Associate or Vice Presidentwithin Quantitative Research Athena and Analytics team, you will be focusing on cross asset topics ranging from pricing library and market model design, risk frameworks, UI design to high performance computing. Athena is designed to enable rapid innovation on the desk by offering Quantitative Analysts, Risk Managers and Technologists a consistent, cross-asset portfolio of models, frameworks and tools to use in building financial applications. The power of the Athena platform derives from several key technical innovations: a powerful Dependency Graph implementation, a ubiquitous data store called Hydra, a Real-Time Risk Reporting framework, a robust Deal Model, and a forward propagating, event-driven graph called Reactive. Job responsibilities: Developing Athena (Python) analytics software that is used to price and risk manage financial products Designing efficient, scalable and usable cross asset frameworks with the aim of establishing golden standards across all QR streams Optimizing code and business processes, providing expert guidance to desk-aligned quant teams in using frameworks Support of end users of the frameworks, communicating with desk-aligned quant teams and technology groups. Required qualifications, capabilities, and skills: You have a degree in a quantitative field, e.g. computer science, mathematics, engineering, physics You have excellent software and algorithm design and development skills You are passionate about software design and writing high quality code You demonstrate experience working in pricing libraries and risk management systems You have a good understanding of trade life cycle, MTM, PnL and other processes that govern day to day business operations You have excellent oral and written communication skills Preferred qualifications, capabilities, and skills: You have a knowledge of finance or quantitative finance You have experience writing high quality Python About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Research Assistant / Research Associate COLLEGE OF MEDICAL VETERINARY & LIFE SCIENCES School of Infection and Immunity Research and Teaching GRADE 6/7 Job Purpose We have an exciting opportunity for a Research Assistant/Associate. The post holder will join the School of Infection and Immunity, working in the Bacteriology research area under the supervision of Professor Andrew Roe (Principal Investigator). The applicant will make essential contributions to a research programme focussed on gut bacteria that produce a genotoxin, called colibactin The successful candidate will have extensive skills in investigating bacterial gene regulation. They will be self-motivated in designing and executing experiments, with a proven track record in molecular techniques such as genomics, proteomics, transcriptomics, as well as bioinformatics and bacterial imaging. Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance of the Principal Investigators (PI): 1. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and the research strategy of the School of Infection and Immunity. 2. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. 3. Develop and enhance your research profile and reputation and that of the School, including contributing to publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem. 4. Contribute to the presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile. 5. Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future research. 6. Collaborate with colleagues and participate in team/ group/ meetings/ seminars/ workshops across the School and wider community. 7. Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development. 8. Perform administrative tasks related to the activities of the research group and School, including Budgets/Expenditure. 9. Carry out modest Teaching activities e.g. demonstrating etc. and associated administration as assigned by the Head of School and in consultation with the Principal Investigators. 10. Keep up to date with current knowledge and recent advances in the field/discipline. 11. Engage in continuing professional development activities as appropriate. 12. Undertake any other reasonable duties as required by the Head of School and/or Principal Investigators 13. Contribute to the enhancement of the University's international profile in line with the University's Strategic Plan, World Changers Together. For Appointment at Grade 7: 14. Perform the above duties with a higher degree of independence, leadership, and responsibility, particularly in relation to planning, funding, collaborating and publishing research, and mentoring colleagues. 15. Establish and sustain a track record of independent and joint published research to establish and maintain your expert reputation in the subject area. 16. Survey the research literature and environment, understand the research challenges associated with the project and subject area, and develop/implement a suitable research strategy. These key tasks are not intended to be exhaustive but simply highlight a number of major tasks which the staff member may reasonably be expected to perform. Please note that as part of your application you must address and demonstrate how you meet EACH of the essential/desirable criteria. If you do not address each criterion you will not be shortlisted for interview. Knowledge/Qualifications Essential: A1. Scottish Credit and Qualification level 10 (Honours degree or equivalent) in Microbiology or other relevant subject and close to completion of a PhD (Scottish Credit and Qualification Framework level 12) in a relevant subject area. A2. A good and up-to-date knowledge in bacterial genetics including mutagenesis, cloning and transcriptomics. For Appointment at Grade 7: Essential: A3. Normally Scottish Credit and Qualification Framework level 12 (PhD) plus track record of emerging independence within a research/professional environment or alternatively possess professional qualifications and experience equivalent to PhD level plus the requisite experience. A4. Practical knowledge of molecular microbiology demonstrated through publications. Skills Essential: C1. Excellent skills and knowledge in E. coli genetics including mutatgenesis and cloning C2. Extensive skills in bioinformatics. C3. Research creativity and cross-discipline collaborative ability as appropriate. C4. Excellent interpersonal skills including team working and a collegiate approach. C5. Excellent communication skills (oral and written), including public presentation and the ability to communicate complex concepts clearly and concisely. C6. Appropriate workload/time/project/budget/people management skills. C7. Extensive IT and data analysis/interpretation skills as appropriate. C8. Self-motivation, initiative and independent thought/working. C9. Problem solving skills including a flexible and pragmatic approach. For Appointment at Grade 7: Essential: C10. Good team leadership skills including demonstrable supervisory skills. Desirable at grade 6/7: D1. Skills in animal models Experience Essential: E1. Proven ability to deliver quality outputs (such as publications) in a timely and efficient manner. E2. Experience preparing data for publication and writing publications. E3. Evidence of an emerging track record of publications in a relevant field. E4. Experience of scientific writing. E5. Commitment to generating and maintaining a positive research environment and contribution to the wider research community. E6. Extensive experience with molecular techniques such RNA and DNA sequencing and analysis, protein purification and gene cloning. For Appointment at Grade 7: Essential: E7. Sufficient breadth and/or depth of knowledge in the specialist subject/discipline and of research/teaching methods and techniques to work within the subject area, as demonstrated through relevant post-doctoral work experience. This will include independence illustrated by identification of project objectives from assessment of the literature, the design/analysis of experiments, and the drafting of scientific publications. E8. Established publication track record in a relevant field of research, including at least one as first author, in appropriate-impact international scientific journals. Additional Details For informal enquiries regarding this post please contact Professor Roe via email Terms and Conditions Salary will be Grade 6/7, £33,482- £37,174/£40,497- £45,413 per annum This post is full time, and has funding until to 03 January 2026. The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship. Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: As a valued member of our team, you can expect: 1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. 2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook , benefits and discount packages. 3 A flexible approach to working. 4 A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community We endorse the principles of Athena Swan . click apply for full job details
Jul 03, 2025
Full time
Research Assistant / Research Associate COLLEGE OF MEDICAL VETERINARY & LIFE SCIENCES School of Infection and Immunity Research and Teaching GRADE 6/7 Job Purpose We have an exciting opportunity for a Research Assistant/Associate. The post holder will join the School of Infection and Immunity, working in the Bacteriology research area under the supervision of Professor Andrew Roe (Principal Investigator). The applicant will make essential contributions to a research programme focussed on gut bacteria that produce a genotoxin, called colibactin The successful candidate will have extensive skills in investigating bacterial gene regulation. They will be self-motivated in designing and executing experiments, with a proven track record in molecular techniques such as genomics, proteomics, transcriptomics, as well as bioinformatics and bacterial imaging. Main Duties and Responsibilities Perform the following activities in conjunction with and under the guidance of the Principal Investigators (PI): 1. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and the research strategy of the School of Infection and Immunity. 2. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate. 3. Develop and enhance your research profile and reputation and that of the School, including contributing to publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem. 4. Contribute to the presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile. 5. Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future research. 6. Collaborate with colleagues and participate in team/ group/ meetings/ seminars/ workshops across the School and wider community. 7. Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development. 8. Perform administrative tasks related to the activities of the research group and School, including Budgets/Expenditure. 9. Carry out modest Teaching activities e.g. demonstrating etc. and associated administration as assigned by the Head of School and in consultation with the Principal Investigators. 10. Keep up to date with current knowledge and recent advances in the field/discipline. 11. Engage in continuing professional development activities as appropriate. 12. Undertake any other reasonable duties as required by the Head of School and/or Principal Investigators 13. Contribute to the enhancement of the University's international profile in line with the University's Strategic Plan, World Changers Together. For Appointment at Grade 7: 14. Perform the above duties with a higher degree of independence, leadership, and responsibility, particularly in relation to planning, funding, collaborating and publishing research, and mentoring colleagues. 15. Establish and sustain a track record of independent and joint published research to establish and maintain your expert reputation in the subject area. 16. Survey the research literature and environment, understand the research challenges associated with the project and subject area, and develop/implement a suitable research strategy. These key tasks are not intended to be exhaustive but simply highlight a number of major tasks which the staff member may reasonably be expected to perform. Please note that as part of your application you must address and demonstrate how you meet EACH of the essential/desirable criteria. If you do not address each criterion you will not be shortlisted for interview. Knowledge/Qualifications Essential: A1. Scottish Credit and Qualification level 10 (Honours degree or equivalent) in Microbiology or other relevant subject and close to completion of a PhD (Scottish Credit and Qualification Framework level 12) in a relevant subject area. A2. A good and up-to-date knowledge in bacterial genetics including mutagenesis, cloning and transcriptomics. For Appointment at Grade 7: Essential: A3. Normally Scottish Credit and Qualification Framework level 12 (PhD) plus track record of emerging independence within a research/professional environment or alternatively possess professional qualifications and experience equivalent to PhD level plus the requisite experience. A4. Practical knowledge of molecular microbiology demonstrated through publications. Skills Essential: C1. Excellent skills and knowledge in E. coli genetics including mutatgenesis and cloning C2. Extensive skills in bioinformatics. C3. Research creativity and cross-discipline collaborative ability as appropriate. C4. Excellent interpersonal skills including team working and a collegiate approach. C5. Excellent communication skills (oral and written), including public presentation and the ability to communicate complex concepts clearly and concisely. C6. Appropriate workload/time/project/budget/people management skills. C7. Extensive IT and data analysis/interpretation skills as appropriate. C8. Self-motivation, initiative and independent thought/working. C9. Problem solving skills including a flexible and pragmatic approach. For Appointment at Grade 7: Essential: C10. Good team leadership skills including demonstrable supervisory skills. Desirable at grade 6/7: D1. Skills in animal models Experience Essential: E1. Proven ability to deliver quality outputs (such as publications) in a timely and efficient manner. E2. Experience preparing data for publication and writing publications. E3. Evidence of an emerging track record of publications in a relevant field. E4. Experience of scientific writing. E5. Commitment to generating and maintaining a positive research environment and contribution to the wider research community. E6. Extensive experience with molecular techniques such RNA and DNA sequencing and analysis, protein purification and gene cloning. For Appointment at Grade 7: Essential: E7. Sufficient breadth and/or depth of knowledge in the specialist subject/discipline and of research/teaching methods and techniques to work within the subject area, as demonstrated through relevant post-doctoral work experience. This will include independence illustrated by identification of project objectives from assessment of the literature, the design/analysis of experiments, and the drafting of scientific publications. E8. Established publication track record in a relevant field of research, including at least one as first author, in appropriate-impact international scientific journals. Additional Details For informal enquiries regarding this post please contact Professor Roe via email Terms and Conditions Salary will be Grade 6/7, £33,482- £37,174/£40,497- £45,413 per annum This post is full time, and has funding until to 03 January 2026. The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship. Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: As a valued member of our team, you can expect: 1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared. 2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook , benefits and discount packages. 3 A flexible approach to working. 4 A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community We endorse the principles of Athena Swan . click apply for full job details
Business Intelligence Engineer II, Amazon FinAuto - GREF Tech The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you. We are seeking a passionate Business Intelligence Engineer II to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer II at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history! Key job responsibilities • Collaborate across a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilities • Build visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSight • Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business value • Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organization's analytical capabilities • Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field - 3+ years of experience as a Business Intelligence Engineer or similar senior-level role - Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models - Proficient in using BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) - Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages - Ability to effectively communicate technical concepts to both technical and non-technical stakeholders - Excellent problem-solving, critical thinking, and analytical skills - Experience leading cross-functional teams and driving the successful delivery of BI initiative PREFERRED QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field - 3+ years of experience as a Business Intelligence Engineer or similar senior-level role - Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models - Proficient in using leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) - Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: April 17, 2025 (Updated about 6 hours ago) Posted: February 14, 2025 (Updated about 24 hours ago) Posted: February 12, 2025 (Updated 1 day ago) Posted: June 22, 2025 (Updated 2 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 02, 2025
Full time
Business Intelligence Engineer II, Amazon FinAuto - GREF Tech The Global Real Estate and Facilities (GREF) Technology team, part of Finance Automation, is the software development and data and analytics team for GREF. Our mission is to build technology solutions that simplify the processes Amazon employs to manage its corporate real estate and improve workplace experience. We build services and products that support various GREF domains, including space and occupancy planning, design and construction, employee health and safety, sustainability, facilities maintenance, help desk, and building management systems requiring IoT expertise. If you possess the skills to build, operate, and scale the next generation of distributed systems supporting Amazon's growth, this role may be well-suited for you. We are seeking a passionate Business Intelligence Engineer II to create the next generation of real estate systems and tools. You will play a crucial role in driving the development and implementation of advanced business intelligence and analytics solutions. You will leverage your strong technical expertise and analytical skills to empower GREF's cross-functional teams with actionable data insights that support strategic decision-making. The ideal candidate is a self-starter, comfortable with ambiguity, and excels at building highly scalable solutions. They will enjoy learning, implementing new technologies, and will be innovative in implementing them in suitable situations. A Business Intelligence Engineer II at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. Coming to Amazon gives you the opportunity to work on development teams in one of our many rapidly growing organizations. Come join us in making history! Key job responsibilities • Collaborate across a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilities • Build visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSight • Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business value • Lead the identification, evaluation, and implementation of new BI tools and technologies to continuously enhance the organization's analytical capabilities • Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field - 3+ years of experience as a Business Intelligence Engineer or similar senior-level role - Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models - Proficient in using BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) - Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages - Ability to effectively communicate technical concepts to both technical and non-technical stakeholders - Excellent problem-solving, critical thinking, and analytical skills - Experience leading cross-functional teams and driving the successful delivery of BI initiative PREFERRED QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field - 3+ years of experience as a Business Intelligence Engineer or similar senior-level role - Demonstrated expertise in designing and implementing complex, large-scale BI architectures and data models - Proficient in using leading BI tools and technologies (e.g., Tableau, Amazon QuickSight, Power BI, Looker, AWS Athena, Snowflake) - Strong understanding of data engineering concepts and proficiency in SQL, Python, or other data-oriented programming languages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Posted: April 17, 2025 (Updated about 6 hours ago) Posted: February 14, 2025 (Updated about 24 hours ago) Posted: February 12, 2025 (Updated 1 day ago) Posted: June 22, 2025 (Updated 2 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: Amazon Web Services Australia Pty Ltd Are you a Data Analytics and GenAI specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like leading teams through high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? AWS Professional Services Public Sector ANZ are hiring a highly technical cloud architect specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive business value from the latest Data Analytics and GenAI services. Our consultants will develop and deliver proof-of-concept projects, technical workshops and support complex projects. These professional services engagements will focus on customer solutions such as batch, real-time data capture and analysis, driving data driven decisions and desired customer outcomes. Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and development of new data applications using AWS cloud services. Insights: Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. Push the envelope: Artificial Intelligence is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services. A day in the life AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience implementing AWS services in a variety of distributed computing environments PREFERRED QUALIFICATIONS - 5+ years of IT implementation experience - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Jul 01, 2025
Full time
Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: Amazon Web Services Australia Pty Ltd Are you a Data Analytics and GenAI specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like leading teams through high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? AWS Professional Services Public Sector ANZ are hiring a highly technical cloud architect specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive business value from the latest Data Analytics and GenAI services. Our consultants will develop and deliver proof-of-concept projects, technical workshops and support complex projects. These professional services engagements will focus on customer solutions such as batch, real-time data capture and analysis, driving data driven decisions and desired customer outcomes. Key job responsibilities Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and development of new data applications using AWS cloud services. Insights: Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. Push the envelope: Artificial Intelligence is reducing the historical "IT constraint" on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI Services. A day in the life AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS - Knowledge of the primary aws services (ec2, elb, rds, route53 & s3) - Experience implementing AWS services in a variety of distributed computing environments PREFERRED QUALIFICATIONS - 5+ years of IT implementation experience - Experience and technical expertise (design and implementation) in cloud computing technologies - Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Analytics Engineer Hybrid (3/4 days in the office) Market Harborough, Leicestershire Salary: £35,000 to £45,000 dependent on experience Working Hours 37.5 hours a week, Monday to Friday We are the brand behind world-class brands. We deliver unparalleled customer management, marketing, payment, technology and data solutions, making us the largest and most strategically aligned full-service provider for publishers globally. We have earned the trusted confidence of a wide range of companies supporting over 1,150 brands globally The Analytics Engineer will join a strong team who design, develop, deploy and maintain scalable data pipelines and analytics solutions. The Analytics Engineer is responsible for creating, enhancing and maintaining reporting services to meet requests for new functionality and support internal and external users. The Analytics Engineer will also be responsible for resolving support requests in a timely and accurate fashion, as well as providing recommendations and guidance on future projects. Essential : Minimum 2 years experience or a related educational qualification Excellent communication skills to collaborate with cross-functional teams and translate business requirements into technical solutions. A very strong command of SQL, both Athena and MSSQL A good understanding of methods for data manipulation, analysis, and automation tasks. Experience with Microsoft SSIS ETL pipelines. Experience with AWS tools such as S3, Glue, Redshift, Lambda, and Athena for building scalable data pipelines and architectures. Experience in developing dashboards and reports using MicroStrategy and\or Amazon QuickSight or similar. Strong analytical skills to troubleshoot data issues and derive actionable insights from complex datasets. Skilled in designing data models and implementing ETL workflows to ensure data quality and readiness for analysis. Ability to create intuitive and interactive dashboards that effectively communicate insights to stakeholders. Knowledgeable in data governance practices, ensuring compliance with data privacy regulations and implementing robust security measures. Strong technical mindset with a desire to learn Knowledge of Windows Servers and Azure Cloud Desirable: Driving Licence Programming experience with C# and\or Python In addition to a great working culture, we offer superb benefits too; 23 days holiday (increasing to 25 days) + Bank Holidays + Birthday + Long Service Workplace Pension with employer contributions Employee Assistance Programme Wellbeing Programme with access to tools and initiatives Mental Health First Aiders Onsite Gym Free Eye Tests Insurance Schemes Cycle to Work Scheme Retail Benefit Discounts Employee Recognition Schemes Recommend a Friend Scheme Social Activities Free Parking And more!
Jul 01, 2025
Full time
Analytics Engineer Hybrid (3/4 days in the office) Market Harborough, Leicestershire Salary: £35,000 to £45,000 dependent on experience Working Hours 37.5 hours a week, Monday to Friday We are the brand behind world-class brands. We deliver unparalleled customer management, marketing, payment, technology and data solutions, making us the largest and most strategically aligned full-service provider for publishers globally. We have earned the trusted confidence of a wide range of companies supporting over 1,150 brands globally The Analytics Engineer will join a strong team who design, develop, deploy and maintain scalable data pipelines and analytics solutions. The Analytics Engineer is responsible for creating, enhancing and maintaining reporting services to meet requests for new functionality and support internal and external users. The Analytics Engineer will also be responsible for resolving support requests in a timely and accurate fashion, as well as providing recommendations and guidance on future projects. Essential : Minimum 2 years experience or a related educational qualification Excellent communication skills to collaborate with cross-functional teams and translate business requirements into technical solutions. A very strong command of SQL, both Athena and MSSQL A good understanding of methods for data manipulation, analysis, and automation tasks. Experience with Microsoft SSIS ETL pipelines. Experience with AWS tools such as S3, Glue, Redshift, Lambda, and Athena for building scalable data pipelines and architectures. Experience in developing dashboards and reports using MicroStrategy and\or Amazon QuickSight or similar. Strong analytical skills to troubleshoot data issues and derive actionable insights from complex datasets. Skilled in designing data models and implementing ETL workflows to ensure data quality and readiness for analysis. Ability to create intuitive and interactive dashboards that effectively communicate insights to stakeholders. Knowledgeable in data governance practices, ensuring compliance with data privacy regulations and implementing robust security measures. Strong technical mindset with a desire to learn Knowledge of Windows Servers and Azure Cloud Desirable: Driving Licence Programming experience with C# and\or Python In addition to a great working culture, we offer superb benefits too; 23 days holiday (increasing to 25 days) + Bank Holidays + Birthday + Long Service Workplace Pension with employer contributions Employee Assistance Programme Wellbeing Programme with access to tools and initiatives Mental Health First Aiders Onsite Gym Free Eye Tests Insurance Schemes Cycle to Work Scheme Retail Benefit Discounts Employee Recognition Schemes Recommend a Friend Scheme Social Activities Free Parking And more!
Data Scientist Start: ASAP Duration: 6-12 months Location: onsite 3 days per week in Milton Keynes Pay: up to £425 /day Inside IR35 We are seeking an experienced Data Scientist. You will be instrumental in developing and deploying data-driven solutions, with a particular focus on OCR use-cases and LLM applications within AWS environments. Key Responsibilities: - AWS Data Science Tools: Hands-on with SageMaker, Lambda, Step Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code. - ML Models: Proficient in regression, classification, clustering, and time-series forecasting. - Business Insight: Translate business needs into data-driven solutions and actionable insights. - Stakeholder Engagement: Communicate effectively across technical and non-technical teams. - Data Engineering: Basic skills in SQL and big data tools (e.g., Athena). - Experimentation: A/B testing, statistical analysis, performance metrics. - Compliance: Knowledge of data privacy (GDPR), PII handling. - Agile Working: Experience in Agile/Scrum teams (Jira, Azure DevOps). Essential Skills & Experience: - 5-7 years in a Data Science role - Strong experience with Amazon Bedrock and SageMaker - Python integration with APIs (e.g., ChatGPT) - Demonstrable experience with LLMs in AWS - Proven delivery of OCR and document parsing pipelines
Jun 30, 2025
Full time
Data Scientist Start: ASAP Duration: 6-12 months Location: onsite 3 days per week in Milton Keynes Pay: up to £425 /day Inside IR35 We are seeking an experienced Data Scientist. You will be instrumental in developing and deploying data-driven solutions, with a particular focus on OCR use-cases and LLM applications within AWS environments. Key Responsibilities: - AWS Data Science Tools: Hands-on with SageMaker, Lambda, Step Functions, S3, Athena. - OCR Development: Experience with Amazon Textract, Tesseract, and LLM-based OCR. - Python Expertise: Skilled in Pandas, NumPy, scikit-learn, PyTorch, Hugging Face Transformers; modular, testable code. - ML Models: Proficient in regression, classification, clustering, and time-series forecasting. - Business Insight: Translate business needs into data-driven solutions and actionable insights. - Stakeholder Engagement: Communicate effectively across technical and non-technical teams. - Data Engineering: Basic skills in SQL and big data tools (e.g., Athena). - Experimentation: A/B testing, statistical analysis, performance metrics. - Compliance: Knowledge of data privacy (GDPR), PII handling. - Agile Working: Experience in Agile/Scrum teams (Jira, Azure DevOps). Essential Skills & Experience: - 5-7 years in a Data Science role - Strong experience with Amazon Bedrock and SageMaker - Python integration with APIs (e.g., ChatGPT) - Demonstrable experience with LLMs in AWS - Proven delivery of OCR and document parsing pipelines
MPOWIR Mentoring Physical Oceanography Women to Increase Retention
Southampton, Hampshire
Research Fellow, Offshore Renewable Energy - University of Southampton Research Fellow in Offshore Renewable Energy (Computational and/or Fluid-Structure): Intelligent & Resilient Ocean Engineering Civil, Maritime & Environmental Engineering Location: Boldrewood Campus Salary: £30,942 to £38,017 Pro rata per annum Full Time Fixed Term for 1 year Closing Date: Wednesday 04 March 2020 Interview Date: To be confirmed Reference: DA Working under the supervision of Professor Susan Gourvenec and Associate Professor Gabriel Weymouth, you will undertake research associated with the Royal Academy of Engineering (RAEng) Chair in Emerging Technologies in Intelligent & Resilient Ocean Engineering and The Alan Turing Institute. This project will investigate the efficacy of frequent but spatially sparse data on mooring lines to predict mooring line integrity, enabling targeted intervention and assessment of integrity for late-life management of floating facilities. The University of Southampton has one of the largest supercomputer facilities in the country and a large (138 m long) hydrodynamic testing tank equipped with a scaled mooring spread. Data will be provided from field operations and potentially created from experimental testing. Maritime Engineering is co-located with Lloyd's Register's Marine division on the Boldrewood Innovation Campus, providing the opportunity for this project to include development of design guidance for mooring systems based on research findings. To be successful, you will have a PhD or equivalent professional qualifications and experience in computational analysis, statistics, fluid mechanics, or a related discipline. Equality, diversity, and inclusion are central to the ethos in the School of Engineering. In recognition of our commitment to improving gender equality in science, we were awarded an Athena SWAN bronze in 2013 and 2016. We consider applications that wish to work flexibly, including part-time, and will give due consideration to applicants who have taken a career break. The university offers a generous maternity policy , onsite childcare facilities. The University of Southampton is in the top 1% of world universities and ranks in the top 10 of the UK's research-intensive universities. It is committed to sustainability and has recently been awarded the Platinum EcoAward. Our vision is to embed sustainability principles into all aspects of our work, encouraging staff and students to minimize environmental harm through activities like switching off non-essential electrical equipment and using recycling facilities. Applications will be considered from candidates working towards or nearing completion of a relevant PhD. The title of Research Fellow will be awarded upon PhD completion. Prior to qualification, the position will be titled Senior Research Assistant. Subject to qualifying criteria Applicants should submit their completed online application form at . The application deadline is midnight on the closing date. For assistance, contact Samantha Stubbs (Recruitment Team) at (0) . Please quote reference DA in all correspondence.
Jun 29, 2025
Full time
Research Fellow, Offshore Renewable Energy - University of Southampton Research Fellow in Offshore Renewable Energy (Computational and/or Fluid-Structure): Intelligent & Resilient Ocean Engineering Civil, Maritime & Environmental Engineering Location: Boldrewood Campus Salary: £30,942 to £38,017 Pro rata per annum Full Time Fixed Term for 1 year Closing Date: Wednesday 04 March 2020 Interview Date: To be confirmed Reference: DA Working under the supervision of Professor Susan Gourvenec and Associate Professor Gabriel Weymouth, you will undertake research associated with the Royal Academy of Engineering (RAEng) Chair in Emerging Technologies in Intelligent & Resilient Ocean Engineering and The Alan Turing Institute. This project will investigate the efficacy of frequent but spatially sparse data on mooring lines to predict mooring line integrity, enabling targeted intervention and assessment of integrity for late-life management of floating facilities. The University of Southampton has one of the largest supercomputer facilities in the country and a large (138 m long) hydrodynamic testing tank equipped with a scaled mooring spread. Data will be provided from field operations and potentially created from experimental testing. Maritime Engineering is co-located with Lloyd's Register's Marine division on the Boldrewood Innovation Campus, providing the opportunity for this project to include development of design guidance for mooring systems based on research findings. To be successful, you will have a PhD or equivalent professional qualifications and experience in computational analysis, statistics, fluid mechanics, or a related discipline. Equality, diversity, and inclusion are central to the ethos in the School of Engineering. In recognition of our commitment to improving gender equality in science, we were awarded an Athena SWAN bronze in 2013 and 2016. We consider applications that wish to work flexibly, including part-time, and will give due consideration to applicants who have taken a career break. The university offers a generous maternity policy , onsite childcare facilities. The University of Southampton is in the top 1% of world universities and ranks in the top 10 of the UK's research-intensive universities. It is committed to sustainability and has recently been awarded the Platinum EcoAward. Our vision is to embed sustainability principles into all aspects of our work, encouraging staff and students to minimize environmental harm through activities like switching off non-essential electrical equipment and using recycling facilities. Applications will be considered from candidates working towards or nearing completion of a relevant PhD. The title of Research Fellow will be awarded upon PhD completion. Prior to qualification, the position will be titled Senior Research Assistant. Subject to qualifying criteria Applicants should submit their completed online application form at . The application deadline is midnight on the closing date. For assistance, contact Samantha Stubbs (Recruitment Team) at (0) . Please quote reference DA in all correspondence.
Contact email: Job ref: ADE/HH/90 Startdate: ASAP We'e looking for a Senior AWS Data Engineer to join a high-impact team driving a next-generation data platform initiative. This is a greenfield opportunity to shape the architecture and engineering of a cutting-edge data solution from scratch. You'll be working with modern technologies like Databricks, Snowflake, and the latest in AWS data tooling, helping to solve complex data challenges that have wide-reaching impact across multiple business domains. Key Requirements: Strong experience in AWS data engineering tools (e.g., Glue, Athena, PySpark, Lake Formation) Solid skills in Python and SQL for data processing and analysis Deep understanding of data governance, quality, and security A passion for building scalable, secure, and efficient data pipelines Nice to Have: Broader experience across data platforms or tools Familiarity with analytics, ML, or financial data This is a unique chance to make your mark on a major data transformation! By submitting your details you agree to our T&Cs
Jun 28, 2025
Full time
Contact email: Job ref: ADE/HH/90 Startdate: ASAP We'e looking for a Senior AWS Data Engineer to join a high-impact team driving a next-generation data platform initiative. This is a greenfield opportunity to shape the architecture and engineering of a cutting-edge data solution from scratch. You'll be working with modern technologies like Databricks, Snowflake, and the latest in AWS data tooling, helping to solve complex data challenges that have wide-reaching impact across multiple business domains. Key Requirements: Strong experience in AWS data engineering tools (e.g., Glue, Athena, PySpark, Lake Formation) Solid skills in Python and SQL for data processing and analysis Deep understanding of data governance, quality, and security A passion for building scalable, secure, and efficient data pipelines Nice to Have: Broader experience across data platforms or tools Familiarity with analytics, ML, or financial data This is a unique chance to make your mark on a major data transformation! By submitting your details you agree to our T&Cs
University of South Hampton
Southampton, Hampshire
As a result of our continued success, we are expanding our Engineering and Support team. We primarily develop and maintain Web-based repository services for a wide variety of both education and commercial organisations all over the World. At our core is an open source repository platform, EPrints, which provides a flexible way to configure operations concerning data capture, structure and presentation, and a range of services that allow content to be accessed in a variety of ways. We support our many customers by maintaining our own Linux based virtual hosting infrastructure. We are a well established small Enterprise team based in the School of Electronics and Computer Science at the University of Southampton. About You As part of the team, you will take responsibility for the development and support of customer focused projects, for both EPrints systems and more varied engineering activities. These typically relate to open access, open data, digital education, content management and systems integrations. You will balance your work between fielding customer queries, supporting their technical needs, as well as working on larger and longer running projects. All projects require some level of design, programming, testing, project management, and customer support. It is essential you have: Proven industrial experience and / or PhD or equivalent professional qualifications and experience in Computer Science or related discipline. Experience in high level programming languages such as Python, PHP or Perl will be highly desirable. This role is offered on a full-time fixed term contract initially for two years. It is normal for us to extend contracts on a rolling two-year basis. There are a great range of benefits that includes a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (closure days); subsidised health and fitness facilities on-site; cycle to work scheme; a range of discounts which include restaurants, retail outlets and entertainment. Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We particularly encourage women, Black, Asian and minority ethnic, LGBT and disabled applicants to apply for this position. We are committed to improving equality for women in science and have been successful in achieving an Athena SWAN bronze award in April 2020. We give full consideration to applicants that wish to work flexibly including part-time and due consideration will be given to applicants who have taken a career break. The University has a generous maternity policy and onsite childcare facilities. We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity. Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on (0) or quoting the job number.
Jun 27, 2025
Full time
As a result of our continued success, we are expanding our Engineering and Support team. We primarily develop and maintain Web-based repository services for a wide variety of both education and commercial organisations all over the World. At our core is an open source repository platform, EPrints, which provides a flexible way to configure operations concerning data capture, structure and presentation, and a range of services that allow content to be accessed in a variety of ways. We support our many customers by maintaining our own Linux based virtual hosting infrastructure. We are a well established small Enterprise team based in the School of Electronics and Computer Science at the University of Southampton. About You As part of the team, you will take responsibility for the development and support of customer focused projects, for both EPrints systems and more varied engineering activities. These typically relate to open access, open data, digital education, content management and systems integrations. You will balance your work between fielding customer queries, supporting their technical needs, as well as working on larger and longer running projects. All projects require some level of design, programming, testing, project management, and customer support. It is essential you have: Proven industrial experience and / or PhD or equivalent professional qualifications and experience in Computer Science or related discipline. Experience in high level programming languages such as Python, PHP or Perl will be highly desirable. This role is offered on a full-time fixed term contract initially for two years. It is normal for us to extend contracts on a rolling two-year basis. There are a great range of benefits that includes a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (closure days); subsidised health and fitness facilities on-site; cycle to work scheme; a range of discounts which include restaurants, retail outlets and entertainment. Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We particularly encourage women, Black, Asian and minority ethnic, LGBT and disabled applicants to apply for this position. We are committed to improving equality for women in science and have been successful in achieving an Athena SWAN bronze award in April 2020. We give full consideration to applicants that wish to work flexibly including part-time and due consideration will be given to applicants who have taken a career break. The University has a generous maternity policy and onsite childcare facilities. We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity. Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on (0) or quoting the job number.
We welcome applications from candidates with disabilities, neurodiversity and long-term health conditions, and we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the recruitment and interview process wherever it is reasonable to do so and, where successful, adjustments will be made to support people within their role. If you are unable to complete your application via our recruitment system or would like to discuss any reasonable adjustments to support you in the application process, please get in touch with us on Job Description - KTP Associate in Machine Learning () Job Description KTP Associate in Machine Learning ( Job Number: ) Department of Computer Science Fixed Term - Full Time Contract Duration : 30 months Closing Date Closing Date : 21-Jul-2025, 10:59:00 PM Disclosure and Barring Service Requirement : Not Applicable. Durham University is one of the world's top universities with strengths across the Arts and Humanities, Sciences and Social Sciences. We are home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives. The University sits in a beautiful historic city where it shares ownership of a UNESCO World Heritage Site with Durham Cathedral, the greatest Romanesque building in Western Europe. A collegiate University, Durham recruits outstanding students from across the world and offers an unmatched wider student experience. Less than 3 hours north of London, and an hour and a half south of Edinburgh, County Durham is a region steeped in history and natural beauty. The Durham Dales, including the North Pennines Area of Outstanding Natural Beauty, are home to breathtaking scenery and attractions. Durham offers an excellent choice of city, suburban and rural residential locations. The University provides a range of benefits including pension and childcare benefits and the University's Relocation Manager can assist with potential schooling requirements. Durham University seeks to promote and maintain an inclusive and supportive environment for work and study that assists all members of our University community to reach their full potential. Diversity brings strength and we welcome applications from across the international, national and regional communities that we work with and serve. The KTP Project: The KTP Associate will lead a Knowledge Transfer Partnership (KTP) project that is a collaboration between Durham University and MoniRail Ltd based in Birmingham. The Knowledge Transfer Partnership (KTP) scheme helps businesses to innovate and grow through the aid of discipline specific academic expertise. It does this by linking them with an academic supervisory team and a researcher in a university to work on a specific project. Working alongside a close-knit team of developers and engineers, the KTP Associate will lead an innovative project to design, develop and implement predictive machine learning models for track and vehicle degradation using cutting-edge deep machine learning, and will integrate these into MoniRail's real-time monitoring system to deliver intelligent, data-driven maintenance insights. MoniRail Ltd is a pioneering UK-based company specialising in non-intrusive, in-service railway condition monitoring. MoniRail leverages over 20 years of cutting-edge research to deliver innovative solutions for the rail industry. Their system utilises lightweight Inertial Measurement Units installed on operational passenger and freight trains to continuously monitor track geometry, ride comfort and vehicle performance. This approach enables real-time data collection without disrupting regular rail services, which enables early detection of track degradation and facilitating predictive maintenance strategies. Durham University is home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives. The Department of Computer Science is a UK Top 10 Department (Complete University Guide 2025) and ranked in the 20 th position for research excellence (REF 2021). Computer Science also holds an Athena Swan Silver Award. Specific responsibilities: The successful candidate will lead the development of advanced machine learning models for predictive maintenance in railway systems, working closely with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected from in-service trains. This data will be used to identify early signs of track and vehicle degradation, to allow for a shift from reactive to condition-based maintenance. The candidate will be expected to carry out high-quality research at the intersection of AI, signal processing and applied railway engineering. They will collaborate with MoniRail's development and engineering teams to integrate developed models into the company's existing solutions, so the outputs are scalable, reliable and deployable in real-world operational settings. In addition, the candidate will adhere to the following responsibilities: Develop a wide range of skills within the cutting edge of computer science, through studies in state-of-the-art research, lectures and seminar attendance. Develop technical expertise in machine learning, predictive modelling and sensor data analytics within a transport engineering context. Implement state-of-the-art solutions and identify solutions to technical problems. Contribute to the planning and execution of the KTP workplan to deliver on defined technical milestones. Research, prototype and validate models using MoniRail's datasets and publicly available data and ensure that they are up to the company's and university's standards. Communicate progress through regular project meetings and written reports. Attend regular project meetings and periodic evaluations Work with developers to prepare code for deployment and support product integration. Produce technical documentation, user guides and internal training materials. Contribute to academic outputs, including drafting research papers and conference presentations and participate in dissemination activities. Responsible to: Dr Amir Atapour-Abarghouei , Assistant Professor, Department of Computer Science, Durham University. Dr Stuart James , Assistant Professor, Department of Computer Science, Durham University. Dr Mani Entezami, Chief Technology Officer, MoniRail Ltd. Location:The KTP Associate will be employed by Durham University but will be based at MoniRail, Birmingham, and will be expected to spend time in Durham University to undertake the partnership's objectives. Additional Information: For an informal discussion about the post please contact: A PhD degree in Computer Science or related subject, strong alternative postgraduate qualifications or significant complimentary experience. 2. Experience Experience of conducting research and development projects in the area of machine learning, deep learning, predictive modelling and multimodal learning. Experience in managing and processing big datasets. Formal academic and report writing of a quality commensurate with higher education qualifications Strong ability in programming languages, including Python, C/C++, dotNet, and one or more deep learning development environments e.g., PyTorch, TensorFlow. Knowledge of Geospatial applications of Machine Learning. Familiarity with current software development best practices, e.g., source control, code review and continuous integration/deployment. Managing a Linux-based system, using cloud computing resources or computer clusters. Experience in MATLAB to understand existing aspects of codebase. Experience using Docker for managing development and deployment environments. Familiarity with the development of RESTful or similar APIs. Publications in highly ranked journals and conferences. Experience in collaboration projects with academic/industry colleagues for software development. Experience in presenting research findings at national/international venues. 3. Skills Excellent written and spoken English. Effective interpersonal and communication skills. Appropriate mathematical and computational skills to be able to undertake the technical development laid out in the project description. Demonstrable ability to work cooperatively as part of a team. Self-motivation and ability to work autonomously and to schedule on agreed tasks. Presentation and communication skills to a wide target audience. Ability to propose and discuss novel research ideas for solving a problem. Ability to attract collaboration and opportunities for the project. Ability to plan and manage independent research. 4. Attributes Comfortable working cooperatively in a team, working independently on their own initiative and to strict deadlines. Interested in research and development. Adapting to ever-changing environment and business needs with a willingness to learn and explore state-of-the-art knowledge. Attributes to provide high-quality input and recommendations to inform decisions of the others. . click apply for full job details
Jun 27, 2025
Full time
We welcome applications from candidates with disabilities, neurodiversity and long-term health conditions, and we are committed to ensuring fair treatment throughout the recruitment process. We will make adjustments to support the recruitment and interview process wherever it is reasonable to do so and, where successful, adjustments will be made to support people within their role. If you are unable to complete your application via our recruitment system or would like to discuss any reasonable adjustments to support you in the application process, please get in touch with us on Job Description - KTP Associate in Machine Learning () Job Description KTP Associate in Machine Learning ( Job Number: ) Department of Computer Science Fixed Term - Full Time Contract Duration : 30 months Closing Date Closing Date : 21-Jul-2025, 10:59:00 PM Disclosure and Barring Service Requirement : Not Applicable. Durham University is one of the world's top universities with strengths across the Arts and Humanities, Sciences and Social Sciences. We are home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives. The University sits in a beautiful historic city where it shares ownership of a UNESCO World Heritage Site with Durham Cathedral, the greatest Romanesque building in Western Europe. A collegiate University, Durham recruits outstanding students from across the world and offers an unmatched wider student experience. Less than 3 hours north of London, and an hour and a half south of Edinburgh, County Durham is a region steeped in history and natural beauty. The Durham Dales, including the North Pennines Area of Outstanding Natural Beauty, are home to breathtaking scenery and attractions. Durham offers an excellent choice of city, suburban and rural residential locations. The University provides a range of benefits including pension and childcare benefits and the University's Relocation Manager can assist with potential schooling requirements. Durham University seeks to promote and maintain an inclusive and supportive environment for work and study that assists all members of our University community to reach their full potential. Diversity brings strength and we welcome applications from across the international, national and regional communities that we work with and serve. The KTP Project: The KTP Associate will lead a Knowledge Transfer Partnership (KTP) project that is a collaboration between Durham University and MoniRail Ltd based in Birmingham. The Knowledge Transfer Partnership (KTP) scheme helps businesses to innovate and grow through the aid of discipline specific academic expertise. It does this by linking them with an academic supervisory team and a researcher in a university to work on a specific project. Working alongside a close-knit team of developers and engineers, the KTP Associate will lead an innovative project to design, develop and implement predictive machine learning models for track and vehicle degradation using cutting-edge deep machine learning, and will integrate these into MoniRail's real-time monitoring system to deliver intelligent, data-driven maintenance insights. MoniRail Ltd is a pioneering UK-based company specialising in non-intrusive, in-service railway condition monitoring. MoniRail leverages over 20 years of cutting-edge research to deliver innovative solutions for the rail industry. Their system utilises lightweight Inertial Measurement Units installed on operational passenger and freight trains to continuously monitor track geometry, ride comfort and vehicle performance. This approach enables real-time data collection without disrupting regular rail services, which enables early detection of track degradation and facilitating predictive maintenance strategies. Durham University is home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives. The Department of Computer Science is a UK Top 10 Department (Complete University Guide 2025) and ranked in the 20 th position for research excellence (REF 2021). Computer Science also holds an Athena Swan Silver Award. Specific responsibilities: The successful candidate will lead the development of advanced machine learning models for predictive maintenance in railway systems, working closely with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected from in-service trains. This data will be used to identify early signs of track and vehicle degradation, to allow for a shift from reactive to condition-based maintenance. The candidate will be expected to carry out high-quality research at the intersection of AI, signal processing and applied railway engineering. They will collaborate with MoniRail's development and engineering teams to integrate developed models into the company's existing solutions, so the outputs are scalable, reliable and deployable in real-world operational settings. In addition, the candidate will adhere to the following responsibilities: Develop a wide range of skills within the cutting edge of computer science, through studies in state-of-the-art research, lectures and seminar attendance. Develop technical expertise in machine learning, predictive modelling and sensor data analytics within a transport engineering context. Implement state-of-the-art solutions and identify solutions to technical problems. Contribute to the planning and execution of the KTP workplan to deliver on defined technical milestones. Research, prototype and validate models using MoniRail's datasets and publicly available data and ensure that they are up to the company's and university's standards. Communicate progress through regular project meetings and written reports. Attend regular project meetings and periodic evaluations Work with developers to prepare code for deployment and support product integration. Produce technical documentation, user guides and internal training materials. Contribute to academic outputs, including drafting research papers and conference presentations and participate in dissemination activities. Responsible to: Dr Amir Atapour-Abarghouei , Assistant Professor, Department of Computer Science, Durham University. Dr Stuart James , Assistant Professor, Department of Computer Science, Durham University. Dr Mani Entezami, Chief Technology Officer, MoniRail Ltd. Location:The KTP Associate will be employed by Durham University but will be based at MoniRail, Birmingham, and will be expected to spend time in Durham University to undertake the partnership's objectives. Additional Information: For an informal discussion about the post please contact: A PhD degree in Computer Science or related subject, strong alternative postgraduate qualifications or significant complimentary experience. 2. Experience Experience of conducting research and development projects in the area of machine learning, deep learning, predictive modelling and multimodal learning. Experience in managing and processing big datasets. Formal academic and report writing of a quality commensurate with higher education qualifications Strong ability in programming languages, including Python, C/C++, dotNet, and one or more deep learning development environments e.g., PyTorch, TensorFlow. Knowledge of Geospatial applications of Machine Learning. Familiarity with current software development best practices, e.g., source control, code review and continuous integration/deployment. Managing a Linux-based system, using cloud computing resources or computer clusters. Experience in MATLAB to understand existing aspects of codebase. Experience using Docker for managing development and deployment environments. Familiarity with the development of RESTful or similar APIs. Publications in highly ranked journals and conferences. Experience in collaboration projects with academic/industry colleagues for software development. Experience in presenting research findings at national/international venues. 3. Skills Excellent written and spoken English. Effective interpersonal and communication skills. Appropriate mathematical and computational skills to be able to undertake the technical development laid out in the project description. Demonstrable ability to work cooperatively as part of a team. Self-motivation and ability to work autonomously and to schedule on agreed tasks. Presentation and communication skills to a wide target audience. Ability to propose and discuss novel research ideas for solving a problem. Ability to attract collaboration and opportunities for the project. Ability to plan and manage independent research. 4. Attributes Comfortable working cooperatively in a team, working independently on their own initiative and to strict deadlines. Interested in research and development. Adapting to ever-changing environment and business needs with a willingness to learn and explore state-of-the-art knowledge. Attributes to provide high-quality input and recommendations to inform decisions of the others. . click apply for full job details
Join us as a Senior Data Solution Designer at Barclays, supporting the BUK Data Foundations Programme, where you will help build designs/patterns for our different use-cases as we migrate from our On-premise warehouses to Cloud. In this role you will work alongside Data Product Owners, Platform Leads and Engineering Leads to help accelerate our journey to Data Products on Cloud. To be successful as a Senior Data Solution Designer you should have: Experience Designing and Maintaining Data warehouse in big data solutions on Cloud and on Premises. Experience and knowledge of cloud platforms such as Snowflake, AWS (S3, Glue, EC2, Athena), Databricks and DBT . This includes hands-on knowledge of cloud-based data storage, processing, and analytics solutions. Good understanding of business processes. Strong analytical skills and techniques. Expertise in Batch \Real Time ETL Solution skills along with performance enhancement knowledge. Strong knowledge of data and analytics, such as dimension modelling, ETL, Reporting tools, Data governance, Data warehousing, Structured and Unstructured data. Other skills that would be useful in this role: Excellent interpersonal, communication, and negotiation skills. Should be able to manage stakeholders within technology and business, and also external stakeholders - i.e. suppliers, vendors, SI partners. This will also include senior stakeholders like director and MDs. Able to lead/mentor small-medium size team with the different technical and functional skills across locations. Ability to provide technical help to team members and participate and contribute to relevant technical standards. TOGAF or certified AWS architect. You may be assessed on key critical skills relevant for success in role, such as risk and controls, communication skills and interaction with a diverse range of stakeholders, as well as job-specific technical skills. This role can be based in either Knutsford or Northampton. Purpose of the role To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. Accountabilities Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan. Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage. Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information. Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress. Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access. Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports. Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio. Identification and selection of best-in-class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Jun 27, 2025
Full time
Join us as a Senior Data Solution Designer at Barclays, supporting the BUK Data Foundations Programme, where you will help build designs/patterns for our different use-cases as we migrate from our On-premise warehouses to Cloud. In this role you will work alongside Data Product Owners, Platform Leads and Engineering Leads to help accelerate our journey to Data Products on Cloud. To be successful as a Senior Data Solution Designer you should have: Experience Designing and Maintaining Data warehouse in big data solutions on Cloud and on Premises. Experience and knowledge of cloud platforms such as Snowflake, AWS (S3, Glue, EC2, Athena), Databricks and DBT . This includes hands-on knowledge of cloud-based data storage, processing, and analytics solutions. Good understanding of business processes. Strong analytical skills and techniques. Expertise in Batch \Real Time ETL Solution skills along with performance enhancement knowledge. Strong knowledge of data and analytics, such as dimension modelling, ETL, Reporting tools, Data governance, Data warehousing, Structured and Unstructured data. Other skills that would be useful in this role: Excellent interpersonal, communication, and negotiation skills. Should be able to manage stakeholders within technology and business, and also external stakeholders - i.e. suppliers, vendors, SI partners. This will also include senior stakeholders like director and MDs. Able to lead/mentor small-medium size team with the different technical and functional skills across locations. Ability to provide technical help to team members and participate and contribute to relevant technical standards. TOGAF or certified AWS architect. You may be assessed on key critical skills relevant for success in role, such as risk and controls, communication skills and interaction with a diverse range of stakeholders, as well as job-specific technical skills. This role can be based in either Knutsford or Northampton. Purpose of the role To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. Accountabilities Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan. Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage. Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information. Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress. Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access. Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports. Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio. Identification and selection of best-in-class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Join us as a Senior Data Solution Designer at Barclays, supporting the BUK Data Foundations Programme, where you will help build designs/patterns for our different use-cases as we migrate from our On-premise warehouses to Cloud. In this role you will work alongside Data Product Owners, Platform Leads and Engineering Leads to help accelerate our journey to Data Products on Cloud. To be successful as a Senior Data Solution Designer you should have: Experience Designing and Maintaining Data warehouse in big data solutions on Cloud and on Premises. Experience and knowledge of cloud platforms such as Snowflake, AWS (S3, Glue, EC2, Athena), Databricks and DBT . This includes hands-on knowledge of cloud-based data storage, processing, and analytics solutions. Good understanding of business processes. Strong analytical skills and techniques. Expertise in Batch \Real Time ETL Solution skills along with performance enhancement knowledge. Strong knowledge of data and analytics, such as dimension modelling, ETL, Reporting tools, Data governance, Data warehousing, Structured and Unstructured data. Other skills that would be useful in this role: Excellent interpersonal, communication, and negotiation skills. Should be able to manage stakeholders within technology and business, and also external stakeholders - i.e. suppliers, vendors, SI partners. This will also include senior stakeholders like director and MDs. Able to lead/mentor small-medium size team with the different technical and functional skills across locations. Ability to provide technical help to team members and participate and contribute to relevant technical standards. TOGAF or certified AWS architect. You may be assessed on key critical skills relevant for success in role, such as risk and controls, communication skills and interaction with a diverse range of stakeholders, as well as job-specific technical skills. This role can be based in either Knutsford or Northampton. Purpose of the role To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. Accountabilities Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan. Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage. Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information. Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress. Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access. Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports. Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio. Identification and selection of best-in-class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Jun 27, 2025
Full time
Join us as a Senior Data Solution Designer at Barclays, supporting the BUK Data Foundations Programme, where you will help build designs/patterns for our different use-cases as we migrate from our On-premise warehouses to Cloud. In this role you will work alongside Data Product Owners, Platform Leads and Engineering Leads to help accelerate our journey to Data Products on Cloud. To be successful as a Senior Data Solution Designer you should have: Experience Designing and Maintaining Data warehouse in big data solutions on Cloud and on Premises. Experience and knowledge of cloud platforms such as Snowflake, AWS (S3, Glue, EC2, Athena), Databricks and DBT . This includes hands-on knowledge of cloud-based data storage, processing, and analytics solutions. Good understanding of business processes. Strong analytical skills and techniques. Expertise in Batch \Real Time ETL Solution skills along with performance enhancement knowledge. Strong knowledge of data and analytics, such as dimension modelling, ETL, Reporting tools, Data governance, Data warehousing, Structured and Unstructured data. Other skills that would be useful in this role: Excellent interpersonal, communication, and negotiation skills. Should be able to manage stakeholders within technology and business, and also external stakeholders - i.e. suppliers, vendors, SI partners. This will also include senior stakeholders like director and MDs. Able to lead/mentor small-medium size team with the different technical and functional skills across locations. Ability to provide technical help to team members and participate and contribute to relevant technical standards. TOGAF or certified AWS architect. You may be assessed on key critical skills relevant for success in role, such as risk and controls, communication skills and interaction with a diverse range of stakeholders, as well as job-specific technical skills. This role can be based in either Knutsford or Northampton. Purpose of the role To define, direct and govern the bank's target data architecture (inc. shared data environment, data model and standards) in support of business strategy, ensuring that data is accurate, secure and accessible to meet the needs of stakeholders. Accountabilities Development of the banks data architecture strategy, including the translation of bank-wide goals and objectives into target data architecture and transition plan. Collaboration with stakeholders, including data operations, engineers and analysts, to provide subject matter expertise and share knowledge to promote standardised, consistent, safe and value-driven data usage. Development and maintenance of the banks data architecture governance, standards and protection policies, regarding data models, authoritative data stores, and data capabilities, to support data quality, accuracy and consistency and the protection of sensitive information. Management of the alignment of projects to the target data architecture through the provision of guidance, data solutions and monitoring of progress. Definition of the shared reusable data capabilities, assets, tools and technologies required to connect disparate data sources, optimise data storage and provide seamless data access. Custodianship of an overarching data model that directs how data is logically and physically structured within the banks physical data resources, e.g. database, interfaces and reports. Monitoring applicable regulatory standards and industry developments for potential impact on the banks operations, controls and application portfolio. Identification and selection of best-in-class data technologies and ongoing assessment of compliance with the bank's service level agreements and quality standards. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures If managing a team, they define jobs and responsibilities, planning for the department's future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.
Senior Python Developer - Financial Technology Up to £850 per day via umbrella Hybrid Working London Area Join a dynamic team within a global Tier 1 investment bank building cutting-edge financial systems that operate at global scale. They are seeking an exceptional Python developer to work on high-availability trading platforms in a fast-paced, front office environment. What You'll Do Develop and maintain large-scale distributed financial systems Work directly with trading teams on FX and derivatives platforms Build robust, high-performance applications using modern development practices Collaborate in an agile environment with continuous integration Provide 3rd line production support for critical trading systems What We're Looking For Strong Python skills (or equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred) Agile development experience (SCRUM, XP, Kanban) Excellent problem-solving skills under pressure Bonus Points For Derivative/Options product knowledge Experience with integrated trading platforms (SecDB, Athena, Quartz) FIX Protocol or FpML knowledge SQL/NoSQL database experience McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Jun 26, 2025
Full time
Senior Python Developer - Financial Technology Up to £850 per day via umbrella Hybrid Working London Area Join a dynamic team within a global Tier 1 investment bank building cutting-edge financial systems that operate at global scale. They are seeking an exceptional Python developer to work on high-availability trading platforms in a fast-paced, front office environment. What You'll Do Develop and maintain large-scale distributed financial systems Work directly with trading teams on FX and derivatives platforms Build robust, high-performance applications using modern development practices Collaborate in an agile environment with continuous integration Provide 3rd line production support for critical trading systems What We're Looking For Strong Python skills (or equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred) Agile development experience (SCRUM, XP, Kanban) Excellent problem-solving skills under pressure Bonus Points For Derivative/Options product knowledge Experience with integrated trading platforms (SecDB, Athena, Quartz) FIX Protocol or FpML knowledge SQL/NoSQL database experience McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Contact email: Job ref: ADE/HH/43 Startdate: ASAP AWS Data Architect - Market Data We're seeking a hands-on AWS Data Architect to play a lead role in a high-impact initiative building a next-generation data platform from the ground up. This is a rare greenfield opportunity to architect and engineer cutting-edge solutions that will power critical market data workflows across the business. As a senior technical leader, you'll not only set the architectural direction but also roll up your sleeves to build and optimize scalable data pipelines using the latest cloud-native tools and frameworks. You'll be instrumental in shaping the technical foundation of our platform, from core design principles to implementation best practices. What You'll Do: Design and implement end-to-end data architecture on AWS using tools such as Glue, Lake Formation, and Athena Develop scalable and secure ETL/ELT pipelines using Python, PySpark, and SQL Drive decisions on data modeling, lakehouse architecture, and integration strategies with Databricks and Snowflake Collaborate cross-functionally to embed data governance, quality, and lineage into platform design Lead technical evaluations of new tools and approaches to evolve the platform's capabilities Serve as a trusted advisor to engineering and business stakeholders on data strategy and architecture What You Bring: Deep, hands-on expertise with AWS data services (Glue, Lake Formation, PySpark, Athena, etc.) Strong coding skills in Python and SQL for building, testing, and optimizing data pipelines Proven experience designing secure, scalable, and reliable data architectures in cloud environments Solid grasp of data governance, quality frameworks, and security best practices A builder's mindset, comfortable leading architectural decisions and also delivering code in production Bonus Points For: Experience with modern platforms like Databricks, Snowflake, or other lakehouse solutions Familiarity with analytics, ML workflows, or financial market data Why Join Us? This is your chance to shape a foundational data platform from day one. If you're looking to make a real architectural impact while staying deeply technical, we want to hear from you. By submitting your details you agree to our T&Cs
Jun 20, 2025
Full time
Contact email: Job ref: ADE/HH/43 Startdate: ASAP AWS Data Architect - Market Data We're seeking a hands-on AWS Data Architect to play a lead role in a high-impact initiative building a next-generation data platform from the ground up. This is a rare greenfield opportunity to architect and engineer cutting-edge solutions that will power critical market data workflows across the business. As a senior technical leader, you'll not only set the architectural direction but also roll up your sleeves to build and optimize scalable data pipelines using the latest cloud-native tools and frameworks. You'll be instrumental in shaping the technical foundation of our platform, from core design principles to implementation best practices. What You'll Do: Design and implement end-to-end data architecture on AWS using tools such as Glue, Lake Formation, and Athena Develop scalable and secure ETL/ELT pipelines using Python, PySpark, and SQL Drive decisions on data modeling, lakehouse architecture, and integration strategies with Databricks and Snowflake Collaborate cross-functionally to embed data governance, quality, and lineage into platform design Lead technical evaluations of new tools and approaches to evolve the platform's capabilities Serve as a trusted advisor to engineering and business stakeholders on data strategy and architecture What You Bring: Deep, hands-on expertise with AWS data services (Glue, Lake Formation, PySpark, Athena, etc.) Strong coding skills in Python and SQL for building, testing, and optimizing data pipelines Proven experience designing secure, scalable, and reliable data architectures in cloud environments Solid grasp of data governance, quality frameworks, and security best practices A builder's mindset, comfortable leading architectural decisions and also delivering code in production Bonus Points For: Experience with modern platforms like Databricks, Snowflake, or other lakehouse solutions Familiarity with analytics, ML workflows, or financial market data Why Join Us? This is your chance to shape a foundational data platform from day one. If you're looking to make a real architectural impact while staying deeply technical, we want to hear from you. By submitting your details you agree to our T&Cs
