Quant Data Engineer

We’re working with an established technology company in the sports/gaming sector, building predictive models powered by a wide and growing range of data inputs. It’s intricate, technically demanding work.

They’re looking for a Quant Data Engineer to join a small team working directly alongside quantitative modellers, ensuring they have reliable, well-structured, high-quality data for research and modelling. Strong focus on data quality, investigation and continuous improvement, turning complex, messy datasets into assets the business can depend on.

What you’ll be doing

Modelling Data Support

• Prepare and maintain research/modelling datasets, and investigate issues affecting model outputs
• Improve data structure, usability and quality across analytical workflows
• Assess new and existing data sources for viability and integration

Data Engineering

• Build and maintain Python-based data pipelines (ingestion, transformation, validation)
• Maintain historical data assets and support migrations/backfills
• Collaborate with engineers on upstream/downstream data flow improvements

Data Quality & Investigation

• Own validation, reconciliation and monitoring across key datasets
• Document data logic, transformations and assumptions; improve metadata and standardisation
• Resolve anomalies and gaps with engineering and operations

What you’ll need

• Strong experience as a Data Engineer, Research Data Engineer, or similar, working with complex datasets
• Strong Python for data processing, investigation and workflow development
• Excellent SQL and relational database experience, PostgreSQL preferred
• Track record preparing, transforming and validating datasets for analytical/research use
• Strong experience tracing data issues through pipelines and source systems
• Comfortable working with messy, incomplete or evolving datasets
• Nice to have: ClickHouse, BigQuery, Snowflake, Redshift or similar

Benefits

Based in London, working a hybrid model (office time required a couple of days a week).

Benefits include private health & dental insurance, cycle to work scheme, enhanced parental and sick pay, and above-standard holiday allowance.

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.

• Strong experience as a Data Engineer, Research Data Engineer, or similar, working with complex datasets
• Strong Python for data processing, investigation and workflow development
• Excellent SQL and relational database experience, PostgreSQL preferred
• Track record preparing, transforming and validating datasets for analytical/research use
• Strong experience tracing data issues through pipelines and source systems
• Comfortable working with messy, incomplete or evolving datasets
• Nice to have: ClickHouse, BigQuery, Snowflake, Redshift or similar

Based in London, working a hybrid model (office time required a couple of days a week).

Benefits include private health & dental insurance, cycle to work scheme, enhanced parental and sick pay, and above-standard holiday allowance.

Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.