Quant Data Engineer: Data Pipelines & Quality (London)

Burns Sheehan; Greater London; Hybrid; GBP 81,000 - 99,000; Full time

Benefits offered by this job

Private health & dental insurance

Cycle to work scheme

Enhanced parental and sick pay

Above-standard holiday allowance

Job summary

Burns Sheehan partners with an established tech company in the sports/gaming sector to hire a Quant Data Engineer in London. You’ll join a small team alongside quantitative modellers, ensuring high-quality, well-structured data for research and modelling.

You’ll design and maintain Python data pipelines, improving data usability and quality across analytical workflows, turning complex datasets into assets the business can rely on.

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• 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.

Skills

Python

SQL

Data engineering

PostgreSQL

Data quality

Pipelines

ClickHouse

Tools

ClickHouse

BigQuery

Snowflake

Redshift

Job description

Burns Sheehan partners with an established tech company in the sports/gaming sector to hire a Quant Data Engineer in London. You’ll join a small team alongside quantitative modellers, ensuring high-quality, well-structured data for research and modelling.

You’ll design and maintain Python data pipelines, improving data usability and quality across analytical workflows, turning complex datasets into assets the business can rely on.