Data Engineer
We’re one of the world’s leading online gambling companies, revolutionizing 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.
Join us in a growing data function where you will help us innovate and build intelligent data systems across our global platforms.
The AI and Automation department focuses on transforming complex data into intelligent, scalable solutions. Operating across a vast technical landscape, the team builds robust infrastructure that supports critical regulatory requirements and drives process efficiency. By leveraging advanced cloud technologies and machine learning, AI and Automation ensures data integrity while exploring new ways to optimize performance.
In this role, you will maintain and evolve essential data infrastructure, transitioning from established SQL Server environments to a modern GCP cloud platform. You will solve real-world technical challenges, contribute to process automation and develop your expertise in a highly collaborative setting. We offer the agility of a startup with the stability of a global business, providing the perfect environment to advance your data career.
The listed salary for this position is $90,000-$120,000 annually.
- Proficiency in SQL Server 2014 or later.
- Knowledge of the MSSQL BI Stack including SSRS.
- Strong SQL capabilities with a focus on stored procedures.
- Exposure to GCP, Big Query and Looker.
- Familiarity with Gitlab or alternative source control platforms.