Data Engineer

* Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship*

A Data Engineer is required for an exciting and innovative software sports betting company based in London. The successful candidate will join a talented horse racing team and will be working closely with the quantitative researchers and alongside other extremely talented and driven engineers to build and support systematic trading models. You will be joining a tight‑knit team of research mathematicians, computer scientists and trading analysts at the top of their chosen fields.

You will be building and maintaining data pipelines that ingest data from multiple external providers, APIs, and real‑time feeds, designing and implementing streaming data architectures to support low‑latency trading requirements.

• 5+ years of experience in data engineering, with deep experience in Python, SQL, and data modelling.
• Experience with cloud data warehouses, orchestration frameworks, and transformation tools.
• Hands‑on experience with streaming technologies (Kafka or similar).
• Experience integrating data from external APIs and third‑party providers.
• A degree in Computer Science or a numerical subject.

You’ll have the freedom to choose the tools and technologies that fit each problem best, but here’s a snapshot of what the company currently uses:

• Snowflake for data warehousing
• Python 3.12+
• DBT for transformations
• Kafka for streaming
• Click House for real‑time analytics
• Working alongside other extremely talented and driven engineers
• Extremely lucrative salary, bonus and excellent benefits
• Greenfield Python/Data engineering work, both challenging and rewarding