Senior Data Engineer
Senior Data Engineer for Investment Firm
The client, a leading global investment firm with a strong focus on technology and systematic strategies, is seeking an experienced Data Engineer to join their expanding London office. The role is a Senior Data Engineer set to join a team responsible for building a research-facing data platform that supports systematic trading and electronic market-making. The platform is designed to make market and reference data consistent, traceable, and easy to use at scale while working directly with Quants and Traders.
Senior Data Engineer Responsibilities
- Build and evolve a cloud-native data platform supporting research and trading workflows
- Develop and maintain Python-first data pipelines and access layers for large-scale datasets
- Design and standardise datasets across asset classes, ensuring consistency and usability
- Implement and improve data lineage, freshness tracking, and metadata systems
- Work with columnar data processing tools (e.g. PyArrow, Polars) for efficient data handling
- Collaborate closely with Quants and Researchers to improve how data is consumed and used
- Continuously enhance a pragmatic, production data environment, balancing performance, reliability, and maintainability
- Take ownership of systems end-to-end, from ingestion through to consumption
Key Requirements
- 5+ years' experience building data platforms or data infrastructure
- Strong Python and SQL skills (Python-first engineering environment)
- Experience with data modelling, schema design, and dataset standardisation
- Hands-on experience with cloud environments (ideally AWS)
- Experience working with large-scale, real-world datasets in production
- Familiarity with workflow orchestration tools (e.g. Airflow)
- Exposure to columnar data processing (e.g. PyArrow, Polars, Spark)
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