Senior Data Engineer

Senior Data Engineer - £75,000 - Hybrid About the Role

We are looking for a Lead Data Engineer to join a forward-thinking organisation that's transforming its data landscape. This is your chance to lead cutting-edge projects, mentor talented engineers and shape the future data strategy. You will play a pivotal role in migrating legacy systems to Databricks, designing scalable architectures and embedding best practices across the team. Longer term, you will help integrate AI and advanced analytics into the organisation's data ecosystem.

• Lead a team of Data Engineers, fostering collaboration and driving technical excellence.
• Architect and implement robust, cloud-first data solutions.
• Drive migration projects from Azure to Databricks.
• Develop high-performance data pipelines and optimise ETL processes.
• Explore emerging technologies to keep the organisation ahead of the curve.

• Proven experience as a Senior or Lead Data Engineer.
• Hands‑on experience with Databricks and PySpark/Spark SQL.
• Strong expertise with the Azure data platform (Data Factory, Synapse, etc.).
• Solid understanding of data architecture and performance optimisation.

• Salary up to £75,000.
• Hybrid working – one day per week in the office in Banbury.
• 25 days holiday plus bank holidays.
• Opportunity to work on enterprise‑scale projects and influence data strategy.
• Professional development and career growth opportunities.

For the full details, simply apply with your CV and we'll be in touch to discuss it further.