Software Engineer

Python Engineer

Sports Trading

What you’ll tackle

• Translate data-flow headaches into buildable tech projects, managing data pipelines
• Python engineering to stand-up analytics services, REST APIs and lightweight front-ends.
• Data ingestion (SQL, files, feeds), business logic, web/UI, CI pipelines and Linux deployment.
• White-board with quants, ask clarifying questions, iterate live and keep comms flowing.

What you need

• 1 + years building production-grade Python systems for data-heavy businesses; comfortable with tests, version control and optimisation.
• Confident SQL, exposure to REST and messaging (Rabbit, Kafka, etc.), and enough Linux to troubleshoot on the command line.
• Solid grounding in financial products & risk metrics—equities, bonds and derivatives; VaR, stress, PnL explain.
• Excellent communicator who never “goes dark”, loves prototyping and isn’t afraid to ask the awkward question.
• A self-starter ready to jump into the deep end and push tech (and yourself) beyond comfort zones, and a love for sports betting is a plus!

Interested? Reply with your CV or reach out for a confidential chat.