Quant Data Engineer — Sports Betting Data Pipelines

BettingJobs; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

BettingJobs is seeking a Data Engineer to join a small but growing quant team in sports betting. You will ensure reliable, well-structured data for research and modelling, building robust Python workflows and investigating data issues to derive maximum value.

Collaborating with modelling and engineering, you will validate datasets, improve data flows and contribute to scalable data solutions for analytical use across the team.

Qualifications

• Experience as a Quant Data Engineer, Research Data Engineer or similar with complex datasets.
• Proficiency in Python for data processing, investigations and workflows.
• Strong SQL skills and relational database experience (PostgreSQL preferred).
• Experience building and maintaining data pipelines in production environments.
• Understanding of data quality, reconciliation and validation practices.
• Experience with analytical data warehouses (ClickHouse/BigQuery/Snowflake/Redshift) is a plus.

Responsibilities

• Work with quant modellers to prepare and maintain datasets for research and modelling.
• Investigate data issues, identify root causes and coordinate resolution.
• Build and maintain Python-based data workflows for ingestion, transformation and validation.
• Maintain historical data assets to ensure accuracy and accessibility for analysis.
• Improve upstream/downstream data flows and ensure critical data is captured.

Skills

Python

SQL

PostgreSQL

Data Pipelines

Data Quality

Agile

Strong analytical skills

Excellent communication

Tools

GitLab

JIRA

Confluence

ClickHouse

BigQuery

Snowflake

Redshift

Job description

BettingJobs is seeking a Data Engineer to join a small but growing quant team in sports betting. You will ensure reliable, well-structured data for research and modelling, building robust Python workflows and investigating data issues to derive maximum value.

Collaborating with modelling and engineering, you will validate datasets, improve data flows and contribute to scalable data solutions for analytical use across the team.