Data Engineer - AI and Markets

Data Engineer - Markets & AI Data Platform Canary Wharf - Hyrbid We're hiring a Data Engineer to join a specialist financial markets business building AI, quantitative research and data products for institutional investors. The company operates in a highly specialised area of global macro and financial markets, working with some of the world's leading hedge funds, asset managers, banks and professional investors. This is a small, highly experienced and fast-moving team with a flat structure. Engineers work closely with researchers, quants and product teams, with real ownership over what gets built and how. The role You'll help build the core data platform powering:

• AI agents and research tools
• Quantitative models
• Market and economic analysis
• Internal and client-facing products
• Dashboards and APIs You'll work with a broad mix of market, economic, research, news and internal datasets, turning fragmented and often messy information into clean, reliable and model-ready data. You'll also help shape the wider data architecture, including:
• Production ETL/ELT pipelines
• Bronze, silver and gold data layers
• Data quality and validation
• Instrument and ticker mapping
• Metadata and lineage
• Monitoring and observability
• Entitlements and permissions
• APIs and structured datasets for downstream applications What we're looking for Strong experience with:
• Python and SQL
• Production data engineering and ETL/ELT
• Modern cloud data platforms such as Azure, Databricks, Delta Lake or Snowflake
• Large, complex or time-series datasets
• Data quality, monitoring and reliability
• Designing clean datasets for downstream users, applications and models Experience with financial market or ticker-level data, including technologies such as kdb+, would be a strong advantage. Why this role? This is a rare opportunity to work at the intersection of financial markets, AI, quantitative research and modern data engineering. You won't be joining a large infrastructure team with narrow responsibilities. You'll have direct exposure to the people consuming the data, significant technical ownership, and the opportunity to influence the foundations of a growing AI and quant platform. Ideal for someone who wants to build rather than simply maintain.