Data Engineer - Trading firm where data directly Drives P&L
Full ownership of the London office's data engineering practices at a high-performance trading business.
You’ll be joining a small but well-established prop trading firm that has evolved into a hedge fund to take external investment. Operating a robust, highly technical trading environment. They’ve identified a clear gap in their London operation and are expanding their data engineering capability to better support the business.
Your focus will be building and maintaining data pipelines that support fully systematic trading implemented by quantitative researcher.
You’ll work closely with researchers and other technologists in London, translating huge volumes of data into useable, production-grade ingestion pipelines.
Tech stack is Python and Java - either is fine, just as long as it's been used in a day context.
The emphasis is on ownership and quality: designing data flows, implementing transformation logic, and establishing best practices for how trading data is processed and consumed within a mature trading environment.
You’ll have high visibility and broad coverage across the business, with your work directly supporting live mid-frequency trading activity. This is a deeply technical role in an environment where engineering teams are purposely lean to gain wide exposure.
If you want to build core data systems which directly impacts trading, this role offers that.
No up-to-date CV is required
Hybrid working
Compensation - no limits on this.