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# Lead Data Engineer

- **Company:** Capgemini
- **Location:** Brighton and Hove, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Bash Shell, Cloud Computing, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Python (Programming Language), Standard Sql, Workflow Management Systems, Data Lakes, Real Time Data, Data Management, Data Delivery, Software Version Control, Data Pipelines
- **Published:** October 22, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/lead-data-engineer/53025923

## About the Role

* Strong experience as a senior data engineer or engineering lead, with a track record of owning complex data delivery across multiple teams, projects or programmes.
 * A collaborative leadership style, with experience mentoring, coaching, recruiting or developing engineers and helping teams work as part of a wider engineering community.
 * Deep data engineering knowledge across integration, transformation, orchestration, modelling, quality, observability, performance, security and operational support.
 * Credibility across modern data platforms and cloud technologies, alongside the pragmatism needed to work in large enterprise and legacy environments.
 * Experience setting, governing and improving engineering standards, quality controls, reusable patterns and delivery processes.
 * Strong stakeholder management, with the ability to explain complex technical issues clearly and build trust with senior clients and internal leaders.
 * Commercial awareness, including the ability to make engineering decisions that balance quality, cost, maintainability, profitability, delivery confidence and client satisfaction.

Technical landscape

We work across a broad and evolving technology landscape, so we are looking for strong data engineering fundamentals and credible technical depth rather than a perfect match against every tool. Programmes of work being delivered include large scale data migrations to cloud, new project delivery, service enhancement and support.
Relevant experience may include:

 * Strong SQL and data modelling experience.
 * ETL/ELT design and delivery.
 * Data pipeline design, build, monitoring and operations.
 * Batch and real-time data integration patterns.
 * AWS cloud data platforms.
 * Data lake, lakehouse, warehouse or large-scale analytical platform delivery.
 * Python, Bash or other scripting and automation approaches.
 * Workflow orchestration and scheduling tools, such as Airflow, TWS, JS7 or similar.
 * CI/CD, version control and modern engineering delivery practices.
 * Data quality, testing, observability and operational resilience.