Senior Data Engineer (Databricks)

• Building and maintaining a unified data platform for global data processing.
• Developing reusable and scalable data solutions using Databricks, Python/PySpark, and Azure.
• Working closely with the data visualisation team to align back-end and front-end needs.
• Designing secure data access models and integrating external data sources via Azure Data Factory.
• Supporting CI/CD processes, implementing testing practices, and optimising performance.
• Troubleshooting and resolving data-related issues to keep things running smoothly.

• Strong understanding of data engineering principles, Lakehouse architecture, ETL/ELT, warehousing, and stream processing.
• Hands-on experience with Azure Databricks, Python/PySpark, SQL Server, and Azure Blob Storage.
• A track record of building secure, scalable data pipelines and solving complex problems.
• Great communication and documentation skills with a proactive, improvement-focused mindset.

• Up to £60,000 salary depending on experience
• Hybrid working model (Birmingham HQ)
• 25 days holiday + bank holidays
• Life assurance, free onsite gym, and regular social events
• Ongoing training and professional development opportunities

Are you a Data Engineer looking to work on large-scale, global data solutions that actually make an impact? This is a fantastic opportunity to join a market-leading automotive technology company that's shaping the future of connected data and intelligent platforms worldwide. You'll be joining a collaborative, forward-thinking data team focused on building a modern, scalable data infrastructure that powers insights for thousands of dealerships across the globe.