Data Engineer

Data underpins every decision in this environment. This role sits at the intersection of engineering, analysis, and live production, partnering directly with research and trading teams to ensure data flows are accurate, resilient, and research-ready. You'll work hands-on with diverse datasets, build automation to support real-time systems, and play a critical role in maintaining the integrity of data that drives trading strategies globally., * Building and automating tools to onboard, classify, validate, and reconcile large, complex datasets

• Analysing and debugging data issues across multi-stage production pipelines, tracing anomalies back to source
• Performing data quality checks and maintaining the reliability of live data feeds supporting trading systems
• Partnering with quantitative researchers to clean, prepare, and featurise data for research and strategy development
• Supporting live trading operations by monitoring data health and resolving time-sensitive production issues
• Working with external data providers, exchanges, and brokers to improve data coverage and robustness

• Experience working hands-on with large datasets to resolve complex, ambiguous issues
• A collaborative approach and comfort working with multiple technical and non-technical stakeholders
• 2+ years' experience in data engineering, data science, or a related role (with a relevant technical degree)
• Strong Python skills
• Experience working with SQL and relational databases
• Comfort operating in a Linux environment
• Exposure to ETL pipelines or production data systems is a plus
• Familiarity with financial or market data is advantageous but not required