Quant Data Engineer — Hybrid Role in High-Impact Trading Tech
Capital Markets Recruitment
Greater London
Hybrid
GBP 70,000 - 90,000
Full time
14 days+
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Job summary
A leading hedge fund is seeking an experienced Data Engineer in Greater London. This role involves collaborating with quantitative portfolio managers, designing data systems, developing tools for datasets, and ensuring data quality. Candidates should have over 3 years of experience in data engineering, strong Python skills, and familiarity with SQL and Linux. This position offers a hybrid working model and competitive compensation packages.
Qualifications
3+ years’ experience in data engineering/science within the financial industry.
Experience with ETL pipelines or financial datasets is a plus.
Detail-oriented with a passion to work in fast paced trading environments.
Responsibilities
Design and evolve data systems required to enable the quantitative investment process.
Develop tools and automation to onboard, classify, and reconcile datasets.
Analyze and validate data quality, supporting researchers in preparing data for modeling.
Monitor and troubleshoot production data pipelines, resolving issues quickly.
Collaborate with trading, research, and technology teams to improve workflows.
Skills
Data engineering
Data analysis
Python programming
SQL
Linux
Job description
A leading hedge fund is seeking an experienced Data Engineer in Greater London. This role involves collaborating with quantitative portfolio managers, designing data systems, developing tools for datasets, and ensuring data quality. Candidates should have over 3 years of experience in data engineering, strong Python skills, and familiarity with SQL and Linux. This position offers a hybrid working model and competitive compensation packages.