Radley James
Data Engineer
Skills
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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