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Job title: Data Engineer Location: Preston or Frimley - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: £50,000+ depending on skills and experience What you'll be doing: Develop, implement and optimise complex T-SQL scripts independently to support data ingestion processes and reporting Monitoring and do proactive validations and verifications of ETL development and monitoring of data loads into the data warehouse Maintaining existing ETL solutions and identifying improvements Analyse existing SQL queries for performance improvements Conducting peer code reviews and UAT validation and create well defined test cases Adhering to company source control, validation and promotion policy Working within change control environment Writing and Review technical documentation Your skills and experiences: Essential: Previous experience in a similar role Excellent in T-SQL programming and experience using SQL Server Management Studio and Microsoft BI stack (SSIS/SSRS) Excellent understanding of relational databases and normalisation Solid experience of working with Visual Studio to develop, debug and publish SSIS packages and reports and to proactive provide training to juniors and peers Desirable: Knowledge of PowerShell scripting Appreciation of data warehousing architecture techniques, best practised and able to deploy packages for production to be at industrial strength Benefits: You'll receive benefits including a competitive pension scheme, enhanced annual leave allowance and a Company contributed Share Incentive Plan. You'll also have access to additional benefits such as flexible working, an employee assistance programme, Cycle2work and employee discounts - you may also be eligible for an annual incentive. The SQL Data Engineering team: This role will provide you with the opportunity to play an integral role in enabling us to provide enterprise wide insights that are both operational and strategic and impact across all levels of the business. You will also have the opportunity to grow and develop your own skills within the working environment and also through access to a variety of training Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome candidates from all backgrounds and particularly from sections of the community who are currently underrepresented within our industry, including women, ethnic minorities, people with disabilities and LGBTQ+ individuals. We also want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles working for BAE Systems will be subject to both security and export control restrictions. These restrictions mean that factors including your nationality, any previous nationalities you have held, and your place of birth may limit those roles you can perform for the organisation. Closing Date: 28 th May 2025 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

Job title: Junior Data Engineer Location: Preston or Frimley - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: £38,000+ depending on skills and experience What you'll be doing: Develop, implement and optimise complex T-SQL scripts to support data ingestion processes and reporting Support ETL development and monitoring of data loads into the data warehouse Maintaining existing ETL solutions and identifying improvements Analyse existing SQL queries for performance improvements Adhering to company source control, validation and promotion policy Working within change control environment Writing technical documentation Your skills and experiences: Essential: Previous experience in a similar role Understanding of T-SQL programming and experience using SQL Server Management Studio and Microsoft BI stack (SSIS/SSRS) Basic understanding of relational databases and normalisation Experience of working with Visual Studio to develop, debug and publish SSIS packages and reports Desirable: Knowledge of PowerShell scripting Appreciation of data warehousing architecture techniques Benefits: You'll receive benefits including a competitive pension scheme, enhanced annual leave allowance and a Company contributed Share Incentive Plan. You'll also have access to additional benefits such as flexible working, an employee assistance programme, Cycle2work and employee discounts - you may also be eligible for an annual incentive. The SQL Data Engineering team: This role will provide you with the opportunity to play an integral role in enabling us to provide enterprise wide insights that are both operational and strategic and impact across all levels of the business. You will also have the opportunity to grow and develop your own skills within the working environment and also through access to a variety of training Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome candidates from all backgrounds and particularly from sections of the community who are currently underrepresented within our industry, including women, ethnic minorities, people with disabilities and LGBTQ+ individuals. We also want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles working for BAE Systems will be subject to both security and export control restrictions. These restrictions mean that factors including your nationality, any previous nationalities you have held, and your place of birth may limit those roles you can perform for the organisation. Closing Date: 28 th May 2025 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

Location(s): London or Manchester BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Engineer Requistion ID: 120494 Location: London or Manchester - Hybrid working offered, with consideration for both full and part-time applicants - please speak to your recruiter about options Grade: GG08 - GG13 We are looking for experienced Data Engineers to join our team following continuous growth and success. As a Data Engineer you will be involved in: Design, develop, test and support data collection, data integration and ETL applications to make information and data available to key client stakeholders and technical interfaces Model data requirements, data sources and data flows to bring order and structure to programmes of work Defining how and where data is created, mastered and destroyed to ensure proper control over the lifecycle of corporate data assets Using categories of products that can be used to collect, integrate, store, visualise and govern data and metadata Define metadata to provide search ability and governance (including Records Management) for unstructured data. Not only will your team be directly making a huge impact upon the systems you work on, you'll be doing it for an organisation who makes a huge impact to the security of the UK. About you You will have experience in many of the following: Data Engineering, Analysis or Science, with a solid understanding of programming languages along with experience of applying them in your previous role Experience in using Data Engineering tools and technology ETL tools including Python and a number of the Big Data Applications. Rather than specifying a list of technologies we look for, demonstrable ability in what you have used previously, along with adaptability and willingness to learn is what we value A good understanding of Open Source software for Data Engineering and can evaluate these platforms against products. Given a customer problem you can analyse and evaluate options and recommend solutions. An understanding of maintaining and applies up to date, specialist knowledge of database concepts (including unstructured, NoSQL and "big data" platforms), object and data modelling techniques. Previous experience working in the domain of Cyber Security and Intelligence is desirable, but not essential. Applicants will need to be eligible to work in the UK and hold an active eDV UK security clearance. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office Youll get 25 days holiday a year and the option to buy/sell and carry over from the year before Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more Youll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE Youll be part of our company bonus scheme You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us, they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.

• Experience with data analytics tools such as Grafana and Talend • API-level connectivity management • Strong SQL skills (Oracle DB, MySQL) • Experience with Denodo, AWS S3, Berlin Job Scheduler, Pentaho • Familiarity with DevOps tools like GitLab • Prior live service support within a Service Management environment • Agile/iterative engineering experience Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take up to a minimum 10 weeks. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.

Location(s): UK, Europe & Africa : UK : Leeds BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Engineer Location: Leeds - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG09-GG10 Referral Bonus: £5000 What You'll Be Doing: CPS engaged Mobilise to embark upon a discovery/proof-of-concept for business intelligence/data warehouse over 4 years. This period was interspersed with multiple breaks whilst CPS re-prioritised and determined next steps. Mobilise helped CPS gain a better understanding of the technology options suitable for the CPS's desired technology roadmap/ecosystem by putting in place a proof-of-concept which showcased an end-to-end capability and vision of 'what' and 'how' CPS's vision could be realised. Working together and using an agile delivery methodology CPS gained a richer and deeper understanding of its own organisations data and learnt more about the Microsoft technology stack allowing them to improve their internal reporting and their understanding of their business. CPS now wish to transform a PoC solution into a fully productionised and supported system. This is anticipated to be achieved using one or more agile teams in a phased approach to deliver key technology deliverables on their enhancement journey. Skills & Experience: Azure Data Factory (ADF) Create dimensions incrementally, reducing processing and data needs with a hopeful reduction in the incurred costs for compute, data and network processing. Changing the authentication method between ADF and SQL Server to use either a managed identity or service principal to enhance security and manageability. Establishing parallelism within existing and new ADF pipeline activities. Template elements of an existing pipeline to support the ingestion of new datasets through the platform Azure SQL Integrating Database Access with Microsoft Entra ID for enhanced security. Implementing STAR schemas on Data Models. Establishing naming conventions for database objects. Transitioning data processing from Power BI to Azure SQL. Segregating data serve level data into multiple schemas or views. Data segregation and redaction techniques, such as data masking and data pseudonymisation. Benefits: As well as a competitive pension scheme, BAE Systems also offer employee share plan, an extensive range of flexible discounted health, wellbeing and lifestyle benefits including including a green care scheme, private health plans and shopping discounts - you may also be eligible for an annual incentive. Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture which values diversity, rewards integrity and merit, and where you'll be empowered to fulfil your potential. We welcome candidates from all backgrounds and particularly from sections of the community who are currently under-represented within our industry including women, ethnic minorities, people with disabilities and LGBTQ+ individuals. We also want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions such as your nationality, any nationalities which you previously may have held and your place of birth can restrict the roles you are able to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds - the best and brightest minds - can work together to achieve excellence and realise individual and organisational potential.

Who we are 🩵 We're the people behind the global loyalty currency, Avios, and home to three ambitious, growing businesses; IAG Loyalty, BA Holidays and The Wine Flyer . Each business has its own goals and strategy, but collectively we create brilliant experiences for our global customers. We're on a truly exciting journey of growth and transformation - we're going places! This is where you come in. The Opportunity We're looking for a Data Engineer to join the Core Data team within the Redemption function at IAG Loyalty. At IAG Loyalty, data is central to everything we do-driving decisions, innovation, and impact across the business. In this role, you'll join a product squad focused on building data solutions that power the Redemption space-how customers turn Avios points into meaningful rewards. Whether it's understanding booking behavior or improving the reward experience, your work will have a direct impact on our products and decision-making. We've made great progress migrating from legacy systems to a modern data stack, and you'll help us continue that journey-building new platforms and evolving the tools we've already delivered. Though we're a large business by revenue, our data team operates like a fast-moving scale-up. We're looking for someone who's curious, adaptable, and ready to challenge the status quo. If you're excited to make a real impact, we'd love to hear from you. What you'll get up to 🌠 You'll work across the full data lifecycle-from analysis and design to development, testing, and ongoing support of our data products. You'll play a key role in enhancing our existing platforms and infrastructure, contributing to inner-source projects that help standardise and scale data capabilities across IAG Loyalty. You'll also build applications that unlock new ways to activate and leverage our data. Working within a small, focused team using Kanban principles, you'll deliver impactful, iterative data products, while also creating clear documentation and training materials to support end users and drive adoption of new solutions. What we need from you 💡 Strong SQL development skills-experience with Snowflake is a big plus, and bonus points if youve worked with dbt or SQLMesh. A track record of designing and delivering complex, high-impact data solutions. Solid understanding of ELT processes and the technologies that enable them. Comfortable working with cloud infrastructure, particularly AWS. Experience using Infrastructure as Code at scale; we use Terraform to manage and standardise our environments. Proficiency in at least one data-focused programming language-ideally Python (our primary language), or Go for performance-critical tasks. Excellent communication and collaboration skills, with the ability to work effectively across both technical and non-technical teams. A proactive, improvement-driven mindset-always looking for smarter, better ways to work. Strong attention to detail and a deep commitment to quality in everything you deliver. The role has a blended base, between our Central London office and home. We trust you to make the right decision about the type of work that is best done in each location. We expect you'll achieve a 50/50 split between the two and there may be times where you'll want to visit our other locations to tell their stories, too (fully reimbursed). We might not be right for you if: You prefer to stick strictly to your own tasks-were a small, high-performing team, and collaboration is key to our success You prioritise perfection over progress-we move fast, learn as we go, and value iteration over polish You want to create but not build-this is an end-to-end role, and youll own your work from initial idea through to delivery and iteration If you think you have what it takes but don't meet every single point above, please do still apply. We'd love to chat and see if you could be a great fit. Equity, Diversity and Inclusion at IAG Loyalty Our vision, 'to create the world's most rewarding experiences,' applies not only to our customers but for our colleagues too. It's about taking belonging seriously, actively fostering a culture where everyone feels welcomed and valued by embracing diverse identities, personal histories, and perspectives. This commitment makes IAG Loyalty a rewarding place to work and enhances our ability to solve complex problems, drive innovation, and better serve our customers and communities. Please let us know if we can make any reasonable adjustments to support your interview process with us.

Role: Data Engineering Manager Salary: £65,000- £70,000 per annum Location: Leeds (One day on site). VIQU have partnered with a leading supply chain organisation who are looking to expand their data teams. The Data Engineering Manager will manage a team of eight to help with an on-going digital transformation. The ideal candidate will come from a technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to Azure.GCP experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. Job duties of the Data Engineering Manager: â Manage a team of eight engineers, helping to mentor and coach the team.â Manage the adoption of automated CI/CD pipelines.â Implement a new delivery roadmap.â Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience).â Cost optimisation.â Establish data governance frameworks for secure handling of delivery information. Requirements of the Data Engineering Manager: â 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams.â Deep knowledge of the Databricks platform.â Hands on Python development experience.â SQL optimisation.â Experience with large scale data pipeline optimisation.â Experience with Streaming and Batch Spark workloads.â Strong people management skills. Role: Data Engineering Manager Salary: £65,000- £70,000 per annum Location: Leeds (One day on site). To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Jack McManus on . If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). To be the first to hear about other exciting opportunities, technology, and recruitment news, please also follow us at ‘VIQU IT Recruitment' on LinkedIn, and Twitter: @VIQU_UK

Who we are 🩵 We're the people behind the global loyalty currency, Avios, and home to three ambitious, growing businesses; IAG Loyalty, BA Holidays and The Wine Flyer . Each business has its own goals and strategy, but collectively we create brilliant experiences for our global customers. We're on a truly exciting journey of growth and transformation - we're going places! This is where you come in. The Opportunity We're looking for a Senior Data Engineer to take a leading role in the development of our Member Data Product, the hub for all member data within IAG Loyalty. You'll be at the forefront of delivering critical reports and datasets that drive business performance and enable our partners-British Airways, Aer Lingus, Iberia, and Vueling-to serve millions of loyalty program members. This is a high-impact role with the chance to shape the future of our data capabilities. What you'll get up to 🌠 As a Senior Data Engineer, you will play a key role within the data product team to design and build out new data features in the core data product. You will collaborate with cross-functional teams, including analysts, data modellers and engineers, to design, develop, and deliver a robust and scalable data product, aligning technical efforts with business goals. You will support the Tech Lead providing technical guidance to the data product team, you will ensure the successful execution of the roadmap by driving the implementation of data pipelines, data processing algorithms, and analytics frameworks. Additionally, you will oversee testing, quality assurance, and deployment processes to ensure the reliability and performance of the data product. By adopting and enforcing coding standards, architectural principles, and development best practices, you will maintain a high-quality, maintainable, and efficient codebase. You will play a support role in creating a culture of innovation, continuous learning, and knowledge sharing within the team. You will encourage and promote an inclusive environment that values new ideas, encourages experimentation, and supports ongoing growth and development. In addition to providing guidance and frameworks to data engineers and analysts, you will offer technical guidance, coaching, and performance feedback to help them excel in their roles. What we need from you 💡 Data Product Delivery: Experience bringing data features to market, making data-driven decisions. Team Leadership: Proven ability to lead diverse teams of engineers and analysts. Data Knowledge: Strong understanding of business data models, data flows, and governance principles. Technical Skills: Familiar with data architecture and warehousing. Tool Proficiency: Skilled in Snowflake, Tableau/Quicksight, and AWS Data tools (Glue, Lambda, S3, etc.). Communication: Excellent at engaging technical and business stakeholders. Documentation: Skilled at creating clear technical documentation. Problem Solver: Strong analytical skills to tackle data challenges. Team Builder: Experience managing onshore and offshore teams. Agile Mindset: Comfortable with Agile methods and fast iteration. The role has a blended base, between our Central London office and home. We trust you to make the right decision about the type of work that is best done in each location. We expect you'll achieve a 50/50 split between the two and there may be times where you'll want to visit our other locations to tell their stories, too (fully reimbursed). We might not be right for you if: You only want to focus on your to-do list; were a small, high-performing team, we help each other to succeed. You value perfection over fast iteration and progress; IAG Loyalty moves fast, we learn and iterate as we go; our environment isnt right for everyone. Youre looking to create but not build; this is an end-to-end role, you need to be comfortable owning your space, from ideation through to delivery and review. If you think you have what it takes but don't meet every single point above, please do still apply. We'd love to chat and see if you could be a great fit. Equity, Diversity and Inclusion at IAG Loyalty Our vision, 'to create the world's most rewarding experiences,' applies not only to our customers but for our colleagues too. It's about taking belonging seriously, actively fostering a culture where everyone feels welcomed and valued by embracing diverse identities, personal histories, and perspectives. This commitment makes IAG Loyalty a rewarding place to work and enhances our ability to solve complex problems, drive innovation, and better serve our customers and communities. Please let us know if we can make any reasonable adjustments to support your interview process with us.

Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: Analyse source data from source databases (PostgreSQL) to understand structures, relationships and semantics. Design and implement streaming data pipelines using AWS EMR and PySpark to generate real-time (fast-moving) features for the feature store. Develop and maintain batch processing pipelines using DBT and BigQuery to generate batch (slow-moving) features, ensuring data quality, consistency and reliability. Work with Feast feature store, manage feature life cycle and maintain data quality. Collaborate with data scientists, ML engineers and software engineers to identify requirements, define feature schemas and ensure efficient integration into Feast feature store. Requirements Good knowledge of programming languages such as Python or Java. Strong experience with streaming technologies (Spark, PySpark, Flink, KSQL or similar) for developing data transformation pipelines. Solid understanding and practical experience with SQL and relational databases (PostgreSQL preferred). Proficiency with AWS EMR for running and managing Spark workloads. Experience in SQL-based transformation workflows, particularly using DBT. Experience with Terraform to define and manage cloud infrastructure through code. Desirables: Familiarity with GCP. Experience with containerisation technologies (Docker, Kubernetes). Familiarity with streaming data ingestion technologies (Kafka, Debezium). Exposure to feature store concepts and practices (Feast or similar). Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 45 mins with one of the team Stage 2 - Take-home challenge Stage 3 - 60 mins technical interview with two team members Stage 4 - 45 min final with two data executives Benefits 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra days holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

???? Transform Healthcare with Cutting-Edge Tech! ???? Position: Data Engineer (Python/Databricks) Location: Remote Salary: Up to £80,000 + Benefits Are you driven by a passion for health tech and innovation? Do you dream of revolutionizing clinical research through advanced technology? If so, we have an incredible opportunity for you! Join our trailblazing team as a Data Engineer and play a pivotal role in building secure, scalable microservices that power clinical research applications. This is your chance to make a significant impact on healthcare while working with the latest advancements in data engineering. About Us We are a pioneering health tech company committed to transforming clinical research through innovative data solutions. Our collaborative team, which includes Frontend Developers, QA Engineers, and DevOps Engineers, creates high-performance data pipelines and REST APIs that drive AI applications and external data integrations. Your Role As a Data Engineer, you will: • Build and Optimize Data Pipelines: Implement high-performance data pipelines for AI applications using Databricks. • Develop REST APIs: Create seamless REST APIs for external data integrations. • Ensure Data Security: Apply protocols and standards to secure clinical data both in-motion and at-rest. • Shape Data Workflows: Utilize Databricks components like Delta Lake, Unity Catalog, and ML Flow to ensure efficient, secure, and reliable data workflows. Key Responsibilities • Data Engineering with Databricks: Design and maintain scalable data infrastructure using Databricks. • Integration with Azure Data Factory: Orchestrate and automate data movement and transformation with Azure Data Factory. • Python Development: Write clean, efficient code in Python (3.x), using frameworks like FastAPI and Pydantic. • Database Management: Design and manage relational schemas and databases, focusing on SQL and PostgreSQL. • CI/CD and Containerization: Implement CI/CD pipelines and manage container technologies for a robust development environment. • Data Modeling and ETL/ELT Processes: Develop and optimize data models, ETL/ELT processes, and data lakes to support data analytics and machine learning. Requirements • Expertise in Databricks: Proficiency with Databricks components such as Delta Lake, Unity Catalog, and ML Flow. • Azure Data Factory Knowledge: Experience with Azure Data Factory for data orchestration. • Clinical Data Security: Understanding of protocols and standards for securing clinical data. • Python Proficiency: Strong skills in Python (3.x), FastAPI, Pydantic, and Pytest. • SQL and Relational Databases: Knowledge of SQL, relational schema design, and PostgreSQL. • CI/CD and Containers: Familiarity with CI/CD practices and container technologies. • Data Modeling and ETL/ELT: Experience with data modeling, ETL/ELT processes, and data lakes. Why Join Us? • Innovative Environment: Be part of a team pushing the boundaries of health tech and clinical research. • Career Growth: Enjoy opportunities for professional development and career advancement. • Cutting-Edge Technology: Work with the latest tools and platforms in data engineering. • Impactful Work: Contribute to projects that make a real-world impact on healthcare and clinical research. If you are a versatile Data Engineer with a passion for health tech and innovation, we would love to hear from you. This is a unique opportunity to shape the future of clinical research with your expertise in data engineering. ???? Shape the Future of Health Tech with Us! Apply Today! ???? To find out more about Computer Futures please visit XX XX XX XX XX Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales

We are currently looking for a Data Engineer who can work fully onsite London 5 days per week DV Clearance long term work Palantir would be nice to have Please send latest CV Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take up to a minimum 18 weeks. LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.

Data Engineer (Python Spark ETL) London / WFH to £90k Are you a tech savvy Data Engineer keen to make an impact, delivering Greenfield systems? You could be progressing your career at a successful and growing Cyber Security Risk Management tech company that specialises in solutions for SME's, working on complex and interesting systems at the cutting edge of technology. The company is scaling and enjoying great success. As a Data Engineer you'll be instrumental in building and scaling the data infrastructure to support advanced data aggregation, storage and analytics capabilities as the company enters a phase of data maturity, holding data from hundreds of thousands of organisations since they were established seven years ago. You'll take ownership of building a new Data Lake from scratch using a range of modern tools and technologies, primarily Python and Spark in an AWS environment. This is an impactful role where you'll be at the heart of the technology function to drive optimisations and develop new capabilities that maximise the value of the company's accumulated data sets. Location / WFH: There's a hybrid work from home policy with three days in the London office per week. About you: You are an experienced Data Engineer with a strong knowledge of Data Lakes, Data Warehousing, ETL / ELT processes and data pipeline orchestration You have strong Python and SQL coding skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What's in it for you: As a Data Engineer (Python Spark ETL) you will earn a competitive salary plus benefits including: Salary to £90k Private Medical Healthcare including Dental and Vision cover Pension Share Option scheme Employee Wellness Programme Summer time hours £2k personalised training budget Apply now to find out more about this Data Engineer (Python Spark ETL) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Position: Data Engineer (Python/Databricks) Location: Remote Salary: up to £80,000 + Bens Are you passionate about health tech and innovation? Do you want to be at the forefront of transforming clinical research with cutting-edge technology? If so, we have an exciting new role for you! Join our dynamic and forward-thinking team as a Data Engineer and help us build secure, scalable microservices that operationalise clinical research applications. This is your chance to make a meaningful impact on healthcare while working with some of the most advanced technologies in data engineering. About Us We are a pioneering health tech company dedicated to revolutionising clinical research through innovative data solutions. Our cross-functional team, including Frontend Developers, QA Engineers, and DevOps Engineers, collaborates to create high-performance data pipelines and REST APIs that drive AI applications and external data integrations. Your Role As a Data Engineer, you will: • Build and Optimise Data Pipelines: Implement high-performance data pipelines for AI applications using Databricks. • Develop REST APIs: Create REST APIs required for seamless external data integrations. • Ensure Data Security: Apply protocols and standards to secure clinical data in-motion and at-rest. • Shape Data Workflows: Use your expertise with Databricks components such as Delta Lake, Unity Catalog, and ML Flow to ensure our data workflows are efficient, secure, and reliable. Key Responsibilities • Data Engineering with Databricks: Utilize Databricks to design and maintain scalable data infrastructure. • Integration with Azure Data Factory: Leverage Azure Data Factory for orchestrating and automating data movement and transformation. • Python Development: Write clean, efficient code in Python (3.x), using frameworks like FastAPI and Pydantic. • Database Management: Design and manage relational schemas and databases, with a strong focus on SQL and PostgreSQL. • CI/CD and Containerisation: Implement CI/CD pipelines and manage container technologies to support a robust development environment. • Data Modeling and ETL/ELT Processes: Develop and optimize data models, ETL/ELT processes, and data lakes to support data analytics and machine learning. Requirements • Expertise in Databricks: Proficiency with Databricks components such as Delta Lake, Unity Catalog, and ML Flow. • Azure Data Factory Knowledge: Experience with Azure Data Factory for data orchestration. • Clinical Data Security: Understanding of protocols and standards related to securing clinical data. • Python Proficiency: Strong skills in Python (3.x), FastAPI, Pydantic, and Pytest. • SQL and Relational Databases: Knowledge of SQL, relational schema design, and PostgreSQL. • CI/CD and Containers: Familiarity with CI/CD practices and container technologies. • Data Modeling and ETL/ELT: Experience with data modeling, ETL/ELT processes, and data lakes. Why Join Us? • Innovative Environment: Be part of a team that is pushing the boundaries of health tech and clinical research. • Career Growth: Opportunities for professional development and career advancement. • Cutting-Edge Technology: Work with the latest tools and platforms in data engineering. • Impactful Work: Contribute to projects that have a real-world impact on healthcare and clinical research. If you are a versatile Data Engineer with a passion for health tech and innovation, we would love to hear from you. This is a unique opportunity to shape the future of clinical research with your expertise in data engineering. ???? Shape the Future of Health Tech with Us! Apply Today! ???? To find out more about Computer Futures please visit XX XX XX XX XX Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales

Job Title: Snowflake Data Engineer Location: Somerset, 3 days per week onsite Overview: We are looking for a talented Snowflake Data Engineer to join our growing data team. Reporting to the BI & Data Manager, you will play a key role in the technical build of our new enterprise data warehouse. While the overall BI and data strategy is being led by the manager, your focus will be on hands-on development: building scalable pipelines, designing efficient data models, and ensuring a high-quality Snowflake environment to support business intelligence, analytics, and data-driven decision-making. Key Responsibilities: Develop and optimize data pipelines and ETL processes into Snowflake. Build, structure, and maintain the Snowflake data warehouse. Work closely with the BI & Data Manager to align technical solutions with strategic goals. Implement data modelling best practices to support reporting and analysis needs. Ensure data integrity, security, and performance within the Snowflake environment. Collaborate with business analysts, developers, and stakeholders across the business. Skills and Experience Required: Strong experience working with Snowflake in a data engineering capacity. Expertise in SQL and ETL/ELT development. Familiarity with cloud platforms (AWS, Azure, or GCP). Experience with data modelling (e.g., star/snowflake schema). Knowledge of best practices in data governance, security, and performance optimization. Ability to work collaboratively but also drive work independently. Please apply asap if interested. GleeIT At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.

Job Title: Snowflake Data Engineer Location: Somerset, 3 days per week onsite Contract- outside IR35 Overview: We are looking for a talented Snowflake Data Engineer to join our growing data team. Reporting to the BI & Data Manager, you will play a key role in the technical build of our new enterprise data warehouse. While the overall BI and data strategy is being led by the manager, your focus will be on hands-on development: building scalable pipelines, designing efficient data models, and ensuring a high-quality Snowflake environment to support business intelligence, analytics, and data-driven decision-making. Key Responsibilities: Develop and optimize data pipelines and ETL processes into Snowflake. Build, structure, and maintain the Snowflake data warehouse. Work closely with the BI & Data Manager to align technical solutions with strategic goals. Implement data modelling best practices to support reporting and analysis needs. Ensure data integrity, security, and performance within the Snowflake environment. Collaborate with business analysts, developers, and stakeholders across the business. Skills and Experience Required: Strong experience working with Snowflake in a data engineering capacity. Expertise in SQL and ETL/ELT development. Familiarity with cloud platforms (AWS, Azure, or GCP). Experience with data modelling (e.g., star/snowflake schema). Knowledge of best practices in data governance, security, and performance optimization. Ability to work collaboratively but also drive work independently. Please apply asap if interested. GleeIT - Snowflake Data Engineer At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.

Description Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: Understand, build and develop batch/file based data data pipelines in AWS and GCP, using file transfers, REST APIs etc Build tools to monitor, report and control data pipelines Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, etc. Work with cloud-based infrastructure (GCP) for ingesting data into our warehouse Collaborate with other full stack developers and data engineers to help meet the business goals Requirements The main part of our Tech Stack is listed below, we don't ask that you have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - were cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI / CD (lots of teams are releasing code 15-20 times per day!) Terraform and Grafana In addition to this core stack, this role is focused on the engineering required to maintain and warehouse a wide variety of data sources used across the bank. The technology we use is cloud based, primarily GCP. Experience with some or all of the services below would put you at the top of our list Google Cloud Storage Google Data Transfer Service Google Dataflow (Apache Beam) Google PubSub Google CloudRun BigQuery or any RDBMS Python Debezium/Kafka dbt (Data Build tool) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with one of the team Stage 2 - 60 mins technical interview with two team members Stage 3 - 45 min final with an executive and a member of the people team Benefits 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra days holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.