Data Engineer - Databricks Specialist

• Designing, building and operating production-grade Databricks Lakehouse solutions, including structured streaming pipelines using Python and PySpark
• Owning and evolving Unity Catalog-based governance, ensuring secure, discoverable and well-managed data assets
• Developing and maintaining event-driven data pipelines, integrating closely with backend engineering teams
• Implementing and supporting CI/CD pipelines in Azure DevOps to enable reliable, automated Databricks deployments
• Creating high-quality, analytics-ready datasets that deliver actionable business insight at scale
• Proactively improving performance, reliability, automation and observability across the Databricks data platform

Do you have experience in Unity?, We are intentionally setting a high bar for Databricks experience. You should be able to demonstrate deep, hands-on capability, not just theoretical knowledge.

Essential experience

• Significant, hands-on experience with Azure Databricks in a production environment
• Proven experience building Spark / Databricks pipelines using Python and PySpark
• Strong experience with structured streaming and event-driven architectures
• Practical experience implementing and operating Unity Catalog
• Solid understanding of Lakehouse design principles, including dimensional and analytical modelling
• Experience building and maintaining CI/CD pipelines, ideally using Azure DevOps
• Confidence working with large-scale data, performance tuning, and troubleshooting complex pipelines

What we mean by "Databricks experience"

You have:

• Designed and built Databricks pipelines end-to-end
• Made architectural decisions within Databricks environments
• Worked with Spark internals, optimisation techniques and cluster configuration
• Operated Databricks solutions in live, business-critical contexts

We're always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you'll have access to a range of benefits including:

• 25 days annual leave plus bank holidays + holiday buying scheme
• Worksave pension scheme with up to 7% employer contribution
• Free AA breakdown membership from Day 1 plus 50% discount for family and friends
• Discounts on AA products including car and home insurance
• Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
• Company funded life assurance
• Diverse learning and development opportunities to support you to progress in your career
• Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family

Plus, so much more!

We're an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.

Are you passionate about data and eager to make a significant impact? The AA is a well-loved brand with a range of driver services much wider than most people realise. We have an enviable set of data assets from breakdown, service, repair, insurance, telematics, digital interactions, car dealers and driving school! If that's not enough, we're focused on making Data our new Superpower as one of only 4 strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues and shareholders., At The AA, our purpose is to create confidence for drivers now and for the future. Data plays a critical role in delivering that purpose, and we are investing heavily in a modern, Databricks-centric data platform to unlock the full value of our connected car and insurance data. This role is for an experienced Databricks Data Engineer. You will be working day-to-day designing, building and operating production-grade Databricks Lakehouse solutions, including structured streaming pipelines, Unity Catalog governance, and Spark-based data engineering at scale. This is not a role for someone who has "touched" Databricks occasionally or supported it at the edges. We are looking for someone who has built, owned and evolved Databricks solutions, and who can confidently articulate design decisions, trade-offs, and best practice. If Databricks is central to how you work and can demonstrate this natural, we want to hear from you.