Senior Data Engineer

Senior Data Engineer Role (Python / Spark / Databricks) - Hybrid - Contract - Banking

Role - Senior Data Engineer

Rate - £850 p/d (Inside IR35)

Duration - 6 months with very likely extension

Location - Hybrid / Liverpool Street (London) - 3 days per week in a Liverpool Street office

About the Role

Global financial institution seeking a highly skilled Senior Data Engineer to join a growing data engineering function responsible for delivering critical data platforms and analytics capabilities across the business.

This is a genuinely hands‑on engineering role, requiring strong expertise in Python, Databricks, Spark/PySpark and SQL. The successful candidate will be actively involved in the design, development, optimisation and support of enterprise‑scale data platforms, working alongside engineers, architects and business stakeholders to deliver robust and scalable solutions.

The role offers the opportunity to work on complex data challenges within a modern cloud‑based environment, leveraging the latest data engineering technologies and best practices.

Key Responsibilities

Data Engineering & Development

• Design, develop and maintain scalable data pipelines using Python, Databricks and PySpark • Build and optimise ETL/ELT solutions processing large‑scale datasets • Develop high‑quality, reusable code and engineering frameworks • Deliver robust, performant and maintainable data solutions • Troubleshoot and resolve complex production and performance issues

Databricks &…