Data Warehouse Developer in Manchester, United Kingdom

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 and gaming. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers 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 requests daily and process more than 1.5 million bets per hour at peak.

Job Description

Transform complex data landscapes into high-impact solutions as a Data Warehouse Developer, shaping the future of intelligent cloud platforms.

The Data Engineering department builds and refines high-performance, intra-day data platforms that process vast streams of information. As a Data Warehouse Developer, the focus centres on delivering scalable improvements across enterprise data warehouse and data catalogue solutions, balancing transformative business programmes with targeted platform enhancements.

Operating within a fully cloud-based environment with an AI-first approach to development, testing and release, the platform supports real-time decision-making. Architects and developers collaborate closely to design resilient data models and modern pipelines that deliver immediate value to data consumers across the organisation.

This role is eligible for inclusion in our hybrid work from home policy.

Qualifications

• Commercial expertise with Google Cloud Platform (GCP)
• In-depth knowledge of Google BigQuery, Cloud Composer, Analytics Hub and BigLake
• Practical exposure to AI technologies and commercial AI agents
• Proficiency in enterprise data catalogue solutions
• Relational set-based processing and advanced SQL query development
• Hands-on background with modern Data Lake and Data Warehouse architectures
• Dimensional modelling for enterprise data warehouses
• Decisive problem-solving capabilities when delivering against tight deadlines

Additional Information

• Manage and optimise Google Cloud Platform components, including BigQuery, Composer, Analytics Hub and BigLake
• Develop and maintain scalable transform processes feeding into the central data warehouse
• Define and implement robust engineering processes and architectural standards across GCP products
• Produce and maintain clear technical documentation for warehouse assets and pipelines
• Drive adherence to development standards and best practice throughout the engineering lifecycle

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At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.