Data Engineer – Sports Betting
Location: London - Hybrid
Salary: £100,000 + Bonus + Benefits
A leading name in the sports betting industry is looking for a talented Data Engineer to help design, build, and scale data solutions that power trading, risk, and customer insight models. You’ll play a central role in transforming raw data into actionable intelligence, working closely with data scientists, quants, and business stakeholders to shape cutting-edge betting products.
Key Responsibilities
* Build and optimise data pipelines and ETL workflows in AWS using Python and SQL.
* Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing.
* Design and maintain data models supporting trading, risk, and customer behaviour analytics.
* Develop Power BI dashboards to provide insights across trading and product teams.
* Ensure high standards of data governance, quality, and scalability.
* Collaborate with product, trading, and technology teams to support innovation in the betting platform.
What you’ll bring
* Proven experience as a Data Engineer in sports betting, gaming, or a similar high-volume data environment.
* Strong coding skills in Python and advanced SQL expertise.
* Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.).
* Proficiency with Power BI (or equivalent data visualisation tools).
* Solid experience building and supporting data models for forecasting, pricing, or predictive analytics.
* Strong communication and stakeholder management skills.
Why join?
* Be part of a fast-growing sports betting business shaping the future of data-driven gaming.
* Direct exposure to modelling projects that influence trading, pricing, and customer engagement.
* Opportunity to work with a modern AWS cloud stack and cutting-edge data tools.
* Competitive salary, strong bonus potential, and career progression.
* A collaborative, high-performance culture at the intersection of data and sports.
If you’re a Data Engineer with modelling expertise who’s passionate about data, sport, and innovation, we’d love to hear from you.