Senior Data Engineer | Outside IR35 Contract | Databricks
Are you a senior data engineer who builds pipelines, not just transforms data within them?
This is a contract role for someone who wants genuine ownership of a modern data platform - not ticket-taker work, but real engineering: designing pipelines, refactoring architecture, and shaping how a Databricks-first platform evolves in a regulated financial services environment.
What you'll be doing
* Building and refactoring data pipelines in Databricks (this is the core platform — Synapse is out)
* Designing ETL/ELT processes and medallion architecture (bronze → silver → gold)
* Contributing to data warehouse design using dimensional modelling
* Working across the full Azure data stack — ADF, ADLS, and beyond
* Collaborating with analysts and architects to solve real business problems
* Helping build team resilience and engineering capability
What the tech stack looks like
* Databricks (primary — strong experience essential)
* Azure Data Factory
* Azure Data Lake Storage
* PySpark / Spark SQL
* CI/CD with Azure DevOps
* Dimensional modelling / Kimball methodology
What you'll need
* Strong, demonstrable Databricks experience - hands-on, not theoretical
* Proven pipeline development skills - you set up pipelines, you don't just work inside them
* Experience with PySpark / Spark SQL
* Background in medallion architecture and data warehouse design
* Comfortable in an Agile, CI/CD environment
* Financial services experience
Why this one is worth a look
This isn't a body-shop contract. You'll be joining at a senior level, working on a platform that's actively evolving, with real scope to influence technical decisions. The team is moving away from legacy tooling and leaning into Databricks — so if that's where your strengths are, you'll be in your element from day one.
If this sounds like your next move, drop me a message or apply with your CV and day rate expectations.