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Data Engineer | Mayfair, London

Quant Fund


Posted 4 Wks Ago

Job Specification

Our new data team is looking to support the growth of systematic and quantitative strategies by building a best-in-class data platform. We are building new systems to support the ingestion, processing and distribution of big data sets alongside capabilities in the high-frequency tick data space.

We are looking for an experienced Data Engineer to help architect and build this new data platform. The system will support a diverse array of big datasets, including core symbology, fundamentals, alternative data and tick-derived data. We will also provide an underpinning data model and data access/serving.

Our ideal candidate will have experience building distributed data platforms for both batch and streaming data. This role will provide the opportunity to have a significant business change impact, and, if desired, to work across a broad range of data engineering disciplines, including low latency market data.

Candidate Specification


  • Significant experience in architecting and building distributed data systems
  • Experience with streaming datasets (likely meaning you’re from a quant/HFT trading firm)


  • Project/technical leadership roles
  • Experience with non-equity asset classes
  • Experience of more than one firm’s stacks
  • Experience with distributed compute (spark, dask, ray, etc.) and NoSQL datastores (Cassandra, etc.)
  • Desire to work on a broad range of projects (including the tick data architecture if interested)