Databricks Data Engineer

We’re partnering with a leading French luxury retail group going through a major transformation of its data estate. They’re moving away from legacy workloads and rebuilding their data platform around Azure Databricks - and they’re looking for an experienced freelance Databricks Data Engineer to help make it happen for a 6-month initial contract.

This isn’t a maintenance contract. You’ll be hands-on with the migration, helping shape how the new platform is built and solving the engineering challenges that come with moving complex, business-critical data onto a modern Lakehouse architecture.

What You’ll Be Doing:

• Migrating complex legacy workloads onto Azure Databricks.
• Designing and building scalable pipelines using Python and PySpark.
• Building reliable batch and near real-time workloads with Delta Lake.
• Helping define the architecture, engineering standards and best practices for the new platform.
• Connecting Databricks across Azure Data Factory, ADLS Gen2 and Synapse.
• Optimising Spark jobs and clusters for performance, reliability and cost.
• Improving data quality, testing and monitoring across the platform.
• Contributing to CI/CD and improving how data workloads move into production.
• Working directly with Data Analysts, Data Scientists and business teams to turn real requirements into scalable solutions.

What We’re Looking For:

• 6+ years of Data Engineering experience
• Strong production experience with Databricks
• Proven experience delivering data migrations or platform transformations
• Strong Azure experience
• Advanced Python and PySpark
• Strong understanding of Delta Lake and Lakehouse architecture
• Solid SQL skills
• Experience with ADF, ADLS Gen2 and/or Azure Synapse

If this sounds like you, please apply with your latest CV and we will be in touch to discuss the role further.