Regulatory Data Developer (GCP)

We’re one of the world’s leading online gambling companies, revolutionising the industry since 2000.

Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity.

This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling.

As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our global worldwide.

Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year.

With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.

As a Regulatory Data Developer, you will shape the reporting systems that keep our regulatory data accurate, timely and ready for change.

The Regulatory Data team within Data Engineering builds and maintains near real-time and batch reporting systems that support regulatory submissions and third-party reporting.

This role focuses on transforming complex internal data models into regulator-ready outputs, with a strong emphasis on accuracy, traceability and performance.

You will support the migration of legacy SQL Server solutions to GCP, while helping to design and deliver new cloud-native reporting systems in BigQuery.

The work spans data modelling, pipeline development, validation and automation, with AI-assisted development also playing a part in improving consistency and reducing manual effort.

• Strong Google BigQuery experience.
• Advanced SQL development skills, including complex queries, stored procedures and performance tuning.
• Working knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub or Cloud Composer.
• Experience of building ETL or ELT data pipelines.
• Exposure to orchestration tooling for scheduled and dependency-driven workloads.
• Familiarity with SQL Server in support of legacy systems.
• Experience with Infrastructure as Code, such as Terraform.