Data Engineer / Architect - Equities (Greenfield + AI)

We are currently recruiting for a data engineer to join the Equities trading business at an international investment bank.

The role will be to work on a greenfield data strategy program and build a new AI driven data analytics platform.

You'll work across trading, risk, and analytics teams to deliver scalable, real-time data solutions, using modern cloud tech, big data tools, and LLMs to drive innovation. This is a hands-on, high-ownership role with a clear path to influence strategy and grow with the platform.

Why this role?

• Greenfield build: Shape architecture and define best practices from scratch.
• Front-office impact: Deliver to trading desks across Equities
• Innovation-first: Use of LLMs and AI, cloud, and modern tooling to push boundaries.
• Growth & visibility: High-impact role with global reach and career growth

Your background:

• Strong Python or Java skills with Big Data (Spark, Hadoop) and AWS.
• Data Architecture
• Experience building data lakes
• Investment banking ideally within Equities but would look at other asset classes
• Experience building scalable data platforms; familiar with APIs, pipelines, and analytics.
• Forward-thinking and comfortable leading PoCs

For more info and to apply please submit your CV highlighting your relevant experience to the points mentioned above.