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# Senior Data Engineer / Lead Data Engineer

- **Company:** Version 1 Solutions Limited
- **Location:** UK
- **Experience:** Expert
- **Salary:** £65,696.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data as a Services, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Distributed Computing Environment, PostgreSQL, Cloud Services, Enterprise Data Management, Data Lakes, Data Management, Data Pipelines, Databricks
- **Published:** October 15, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5928348724

## About the Role

What You'll Bring

 * 6-8 years' experience in hands-on data engineering roles
 * Strong Databricks experience (Data Engineering, Delta Lake, Medallion Architecture)
 * Design, build and support scalable data pipelines from enterprise source systems
 * Build and maintain data models, mapping tables and curated data products within the ISP data platform
 * Implement Master Data Management (MDM), data quality controls, monitoring and remediation workflows
 * Develop automated data quality and completeness reporting, including AI-assisted reporting capabilities
 * Support the industrialisation of AI-enabled applications, transitioning from file-based solutions to governed Databricks-backed data services
 * Experience integrating AI/analytics tools with enterprise data platforms and supporting operationalisation of proof-of-concepts into production solutions

Nice to Have

 * Experience enabling ML, AI, or GenAI workloads through strong data foundations
 * Exposure to modern BI and analytics tooling
 * Experience working in regulated or security-conscious environments
 * Consulting or client-facing delivery experience

## Description

We are looking for a Senior Data Engineer to join Version 1's Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands-on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud-native data solutions that enable analytics and AI at scale.

This is a delivery-focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real-world environments.

What You'll Be Doing

 * Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches
 * Engineering cloud-native data platforms, primarily on AWS (with Azure exposure where required)
 * Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks
 * Ensuring solutions are production-ready: secure, tested, observable, and cost-efficient
 * Optimising data performance, reliability, and data quality in live environments
 * Collaborating with analysts, data scientists, AI engineers, and platform teams
 * Mentoring junior engineers and contributing to shared standards and accelerators