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Data Engineer - AI & Markets

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Onsite

Data Engineer - AI & Markets

Hiire.co

Data Engineer - AI & Markets

Skills

SQL QueriesData EngineeringPythonSnowflakeDatabricksAIAzure

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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