Data Engineer - Spark Python Scala - Financial Services

La Fosse is currently recruiting a contract Data Engineer (12 months) on behalf of a global financial services company.

They require an experienced Data Engineer with extensive experience in building and maintaining Data Lakehouses in Azure. The ideal candidate will have a strong background in Python programming, with specific experience building high performance and scalable pipelines in Databricks with Spark.

The new data platform will serve a range of end users in the Capital Markets division, so experience across areas such as derivatives, risk, PnL, trade lifecycle, market data are highly desired.

Key Responsibilities:

• Engineer robust, scalable and efficient data pipelines using Spark & Python in Databricks
• Demonstrate best practices in the design & development of data pipelines
• Data modelling on medallion architecture, ensuring schema is intuitive and serves business users analytical and reporting objectives

What you'll need:

• Expert in building data pipelines in Databricks with Spark (preferably on Azure)
• Financial Services sector knowledge (ideally domain knowledge of areas such as trading, derivatives, risk and trade lifecycle)
• Expert level programming in Python (Scala in addition is highly desired)
• Expert data modelling experience on medallion architecture

Hybrid model: 1-2 days per week (London)

Duration: 12 months

IR35 - Outside

Start date: May/June 2026