Senior Data Engineer

Up to £100,000
London

This is a fantastic opportunity to join a highly regarded investment management business and take ownership of a firmwide data platform being built from the ground up. You'll play a pivotal role in a greenfield transformation, helping create the data foundation that will support investment reporting, analytics, and future AI initiatives.

THE COMPANY:

This organisation is a well-established investment management firm overseeing a multi-asset portfolio spanning public equities, private markets, credit, alternatives, and other investment strategies.

With a lean and highly specialist team, technology plays a critical role in supporting investment decision-making, reporting, governance, and data-driven innovation. The business is now investing heavily in a modern data platform that will become the central foundation for reporting, analytics, and future AI use cases.

THE ROLE:

You will take ownership of the design, build, and ongoing development of a next-generation Azure data platform.

Key responsibilities include:

• Designing and implementing a greenfield data platform on Azure, with Databricks
• Building and maintaining ingestion pipelines across investment, finance, market, custody, and private markets data sources.
• Developing infrastructure-as-code, CI/CD processes, governance frameworks, and data quality controls.
• Supporting the firm's AI roadmap

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Data engineering within financial services environments.
• Python, SQL, Spark/PySpark, and modern cloud-based data platforms.
• End-to-end platform builds, migrations, or greenfield data engineering projects.
• Data modelling, governance, CI/CD, testing, lineage, and data quality best practices.

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.