Data Engineer, Hedge Fund
Summary
Data engineer at a London hedge fund building reliable production data pipelines on a modern Microsoft/Azure stack (Python, SQL, Databricks, Delta Lake, Fabric, Terraform), with exposure to LLM/AI-enabled pipelines. Associate/Senior Associate level, up to £120k base plus a 50% annual bonus.
Up to £120k base salary - 50% annual bonus - Benefits Package. Associate/Senior Associate level Engineer
Technology
The environment is centred around a modern Microsoft/Azure data stack, including: Python | SQL | Azure | Databricks | Azure Data Lake Storage | Microsoft Foundry | Microsoft Fabric | Delta Lake | GitHub | Terraform
What We're Looking For
- Around 3–7 years of professional engineering experience within Data Engineering, Analytics Engineering or Software Engineering with a strong data focus.
- You will have experience in hedge funds, Prop Trading, or investment banking working with large financial data sets.
- You'll need strong Python and SQL, good software-engineering fundamentals and experience building reliable production data pipelines.
- You'll be proficient in concepts such as schema design, incremental loading, idempotency and schema evolution, and you'll be comfortable working within structured engineering practices using Git, branching, pull requests and code reviews.
- You'll have experience with LLMs, AI-assisted development or AI-enabled data pipelines.
- Knowledge of Databricks, Delta Lake, Lakehouse/Medallion architectures, Airflow, CI/CD or Terraform would all be valuable
- Passionate about engineering and building products. Engineering-first mindset
- This position suits someone looking for their second or third role and seeking more ownership and responsibility.
We are particularly keen to talk to ambitious, career-driven engineers from within the financial markets.
Unfortunately, we cannot consider Contractors, Consultants, or Engineers from Outsourcing companies. Work visa sponsorship is not available.