A leading global market maker, powered by technology, rigorous research, and deep collaboration, is seeking a Data Reliability Engineer (Data SRE) to join its Global Data Engineering team in London.
Operational
* Serve as a frontline data operations contact for traders, researchers, and internal stakeholders.
* Investigate and resolve data quality issues and freshness anomalies across critical datasets.
* Monitor ingestion pipelines, scheduled processes, and real-time feeds, triaging alerts to minimise trading impact.
Engineering & Platform Reliability
* Ingest and operationalise new datasets, including schema mapping, normalization, historical backfill, and metadata management.
* Build and maintain robust ETL/ELT pipelines supporting real-time trading and research systems.
* Implement data quality checks, anomaly detection, and monitoring frameworks.
* Develop high-performance APIs exposing market and reference data.
* Partner with traders, researchers, and engineers to design scalable, reliable data solutions.
The Ideal Candidate
* 3+ years’ experience as a Data Engineer, SRE, Software Engineer, or in Data Operations within a high-performance environment.
* Strong Python skills, including experience with Pandas, Arrow, and Spark.
* Solid understanding of data modeling, normalization, and API development at scale.
* Experience with lakehouse architectures (e.g., Delta Lake, Databricks, AWS) preferred.
* Exposure to real-time and historical market data (fixed income/credit, ETFs, equities) is advantageous.
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