One of our clients in the Trading & Market Making space is looking for an engineer to serve as a frontline point of contact for traders, researchers and internal users of data platforms within the London based trading team.
This role sits in the nexus between Data Engineering and Reliability & Operations Engineering, and is an excellent opportunity to work in a dynamic, impactful function within one of the most cutting edge trading environments in the city!
What You'll Do
- Serve as frontline POC for traders, internal users and research teams for everything relating to data reliability.
- Investigate and resolve data quality concerns and freshness anomalies.
- Monitor ingestion pipelines, processes and real time feeds.
- Triaging and addressing alerts promptly to minimize impact on trading.
- Manage relationships with external vendors and resolve upstream issues, specification changes and ensure accurate delivery of datasets.
- Document and relay clear updates to users during production events.
Technical responsibilities
- Ingest, configure and operationalise new datasets.
- Develop and maintain ETL/ELT data pipelines to feed real time trading and research systems.
- Implement data quality checks, anomaly detection and monitoring frameworks.
- Build and maintain high performance API's to expose market and reference data to trading, research and analytics platforms.
Who you are
- 3+ years in Data Engineering, SRE, SWE or Data Ops roles in high performance, time sensitive environments.
- Strong Python proficiency, including exposure to libraries such as Pandas, Arrow, and Spark.
- Strong grasp of data modelling, normalization and API development for large scale analytical or trading systems.
- Experience with lakehouse architectures (Databricks ideally, or Delta Lake).
- Exposure to real time and historical market data within Fixed Income, ETFs or Equities would be excellent.
- Operational instincts - extreme agency and ownership over issues, tackling issues with initiative.
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