Hiire.co
Data Engineer - AI & Markets
Skills
1 month ago
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Important information
Contract type:
Permanent
Salary:
£100,000 – £120,000 / year
Location:
London, UK
Work mode:
Onsite
Published on:
30 September 2026
What they need
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.
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