Data Engineer

We are building a data engineering function to support quantitative research and production teams working with large-scale financial and alternative data. The work involves messy, evolving datasets, performance-sensitive pipelines, and open-ended technical problems. Much of the stack is built in-house and largely greenfield.

What You'll Do

• Design and build scalable data pipelines
• Own datasets end-to-end, from ingestion and validation to downstream delivery
• Develop ingestion, transformation, and quality-control frameworks
• Build tooling to support research and experimentation
• Optimise data systems for correctness, reliability, and performance
• Collaborate closely with researchers, quants, and data scientists

• Strong Python and SQL skills, comfortable working close to raw data
• Experience building and operating modern data pipelines
• Exposure to research-, trading-, or decision-critical systems
• Independent thinker, comfortable with ambiguity
• Preference for hands-on technical ownership

Ideal Background

• Systematic funds, quantitative asset managers, HFTs, or trading firms
• FinTechs or financial data providers
• Smaller teams with broad ownership and responsibility
• Strong early-career profiles with clear technical depth

• Fully guaranteed, competitive compensation
• Education allowance for dependent children
• 30 working days of annual leave, plus public holidays
• Comprehensive healthcare for employee and family
• Business class relocation flights
• Joining and departure allowances