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Data Engineer

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Onsite

Data Engineer

Radley James

Data Engineer

Skills

SQL QueriesRustData EngineeringPythonpandasKafkaRedisSnowflakeGrafanaPrometheusPySpark

2 months ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

4 September 2026

What they need


Data Engineer – Quantitative Data Platform

Location: London

Compensation: Up to £200,000 base + performance bonus

I’m working with a leading investment firm in London that is looking to hire an experienced Data Engineer to help build and scale a high-performance data platform supporting quantitative investment teams.

This is a highly technical engineering role focused on large-scale data infrastructure, backtesting and research workloads. You’ll be working with petabyte-scale datasets and partnering closely with quantitative engineers and researchers.

What you’ll be working on:

  • Building and scaling data infrastructure for backtesting and other data-intensive applications
  • Developing ingestion and ETL pipelines operating across petabyte-scale datasets
  • Solving challenges around data quality, storage, backfills and high-performance data consumption
  • Designing batch and streaming data architectures
  • Working closely with quantitative researchers and engineering teams
  • Improving the scalability, reliability and performance of distributed data systems

What we’re looking for:

  • 5+ years of experience in data-intensive engineering
  • Strong SQL and database expertise, particularly with large-scale or time-series datasets
  • Strong programming skills in Python, Rust and/or C++
  • Experience with tools such as Pandas, Polars, Dask or PySpark
  • Experience building data platforms, ETL systems, data lakes, warehouses or lakehouse architectures
  • Knowledge of Parquet, Arrow or similar columnar formats
  • Experience with distributed systems technologies such as Kafka and Redis
  • Strong understanding of performance optimisation and debugging

Nice to have:

  • ClickHouse, Snowflake or similar technologies
  • Financial markets / quantitative investment experience
  • REST API development
  • Prometheus, Grafana or Sentry

Why join?

You’ll have the opportunity to work on genuinely large-scale data engineering problems where performance and reliability matter, while building infrastructure used directly by quantitative investment teams.

Compensation: £140,000 to £200,000 base + bonus

Location: London

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