> Markdown version of [/jobs/ext/4126029-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/4126029-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Capgemini - **Location:** Telford, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Automation of Tests, Microsoft Azure, Cloud Computing, Databases, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, DevOps, Software Tools, Cloud Services, SAS (Software), SQL Databases, Talend, Git, SC Clearance, AWS Glue, Data Management, Software Version Control - **Published:** October 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a9c1d8737890d6e1 ## About the Role * Data Integration and ETL/ELT development * SQL and database technologies * Data modelling and data transformation * Cloud data platforms (Azure, AWS or GCP) * Data warehousing and analytics platforms * CI/CD pipelines and DevOps practices * Git and modern source control practices * Data Quality and Data Governance principles Desirable * Experience with Talend, Denodo, SAS, or AWS Glue. * Experience within large-scale public sector or regulated environments. * Cloud certifications. * Experience using AI engineering tools to improve productivity and delivery outcomes., To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. ## Description Our Data & Intelligence Portfolio continues to experience significant growth, driven by new client engagements and increasing demand across our existing accounts. As demand continues to exceed forecasts, we are expanding our permanent engineering capability to support delivery excellence, strengthen our technical leadership community, and build sustainable capability for future growth. We are looking for an experienced Senior Data Engineer to join our growing engineering team and play a key role in delivering high-quality data solutions within a fast-paced, agile environment. We're looking for someone who thrives in a fast-moving delivery environment and is comfortable adapting to changing priorities while staying focused on outcomes. You will take ownership and accountability for delivery, bring a continuous improvement mindset, and actively look for ways to improve quality, efficiency and customer outcomes through innovation, modern engineering practices and new technologies. Just as importantly, you will be collaborative and team-focused, showing leadership through clear framing, calm decision-making, and the ability to bring your team along on the journey by building shared understanding, explaining the 'why', and helping people stay aligned through change. Experience mentoring junior engineers and supporting others to build confidence and capability is also important. Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time. If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service), As a Senior Data Engineer, you will lead multiple teams in designing, building and optimising scalable data solutions across modern and existing services, while supporting the successful delivery of complex client programmes. Where you are leading across multiple teams, you will set the technical direction through the individual technical leads, helping them understand priorities, dependencies, delivery outcomes and the standards expected across their teams. This role requires someone who can framework clearly, create alignment across teams, and provide the conditions for engineers to deliver confidently and consistently. You will be expected to adapt quickly to changing priorities, support continuous improvement initiatives, and leverage emerging technologies, including AI, to improve productivity, delivery speed and solution quality. You will lead in uncertain and evolving delivery environments by helping technical leads and their teams navigate change, make pragmatic engineering decisions, and stay focused on quality and delivery commitments. The role requires someone who can set the tone for delivery, role model good engineering behaviours, and bring others with them through coaching, constructive challenge and clear communication. Your skills and experience Data Engineering Delivery * Design and govern robust, scalable data engineering solutions. * Support the migration and modernisation of legacy data platforms. * Collaborate with architects, analysts, testers and business stakeholders to deliver business outcomes. Technical Leadership * Provide technical guidance and support to technical leads and other engineers. * Promote engineering best practices and coding standards. * Contribute to technical design discussions and engineering decision-making. * Promote knowledge sharing and capability development. * Act as a role model for engineering excellence and continuous learning. * Set clear expectations, frame delivery goals, and produce practical engineering plans. * Explain the 'why' behind decisions, build shared understanding, and encourage open collaboration across teams. * Provide coaching, constructive feedback to support engineers' development. * Support continuous improvement activities to improve team productivity and delivery performance. * Help teams identify and remove delivery bottlenecks. Quality & Testing * Demonstrate a strong understanding of test principles, test automation and quality engineering practices. * Ensure your teams build quality into engineering solutions from the outset, and support reliable and robust delivery. * Recognise the value of testing specialists in ensuring solutions meet functional and non-functional requirements, and ensure your teams have the right balance of development and testing capability to support quality delivery. * Encourage automation of testing where appropriate. AI-Driven Engineering & Efficiency * Champion the use of AI-assisted engineering tools and techniques. * Identify opportunities to improve productivity through automation and AI-enabled delivery. * Drive continuous improvement across development, testing, documentation and knowledge sharing. * Share best practices and innovations with the wider engineering community.