Data Engineer (GCP)

Company Description At bet365, 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 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak. 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 opportunities for growth, 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 customers worldwide. Job Description As a Data Engineer, you will play a key role in creating, migrating, and maintaining regulatory reporting systems on Google Cloud Platform (GCP). The Regulatory Data team is a crucial function of the Data Engineering department, responsible for building and maintaining near real-time and batch reporting systems to fulfil regulatory requirements. The team utilises complex Business logic to transform internal data models into those required by industry regulators and third parties. Using your passion for delivering innovative solutions you will support our continued migration from on-premise SQL Server systems to GCP as the team creates new GCP reporting systems You will support this migration while also developing new cloud-native solutions and exploring AI-driven development and automation to improve efficiency, consistency and reliability across the team's processes. Qualifications Experience with Google BigQuery. SQL development experience, with the ability to write complex queries, stored procedures, and performance-tune data-intensive workloads. Familiarity with GCP services such as Cloud Storage, Cloud Functions, Pub/Sub, or Cloud Composer. Experience with data pipeline development (ETL/ELT) and orchestration tooling. Exposure to Infrastructure as Code such as Terraform, and CI/CD pipelines such as Git, GitLab. Methodical, with high attention to detail and the ability to break down complex requirements into simple solutions. Interest in AI-assisted development tooling, such as Claude Code. Ability to work to deadlines in a fast-paced, reactive environment. SQL Server experience to support legacy systems during migration. Additional Information Developing and maintaining regulatory data submission systems, both existing on-premise and new cloud-based solutions in GCP/BigQuery. Building and maintaining automated data pipelines for ingestion, transformation, and loading of regulatory data. Supporting the migration of legacy SQL Server solutions to BigQuery, working closely with seniors and technical leads on architecture and data modelling. Implementing data validation, monitoring, and alerting to ensure accuracy, consistency, and reliability of regulatory submissions. Leveraging AI tooling, such as Claude Code, and contributing to the team's automation strategies to reduce manual effort and improve quality. Participating in code reviews and adhere to departmental standards and the development process. Conducting QA to ensure solutions are accurate, efficient, and performant. Creating and maintaining relevant documentation. Collaborating with other team members to deliver high-quality solutions within required timeframes. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy 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.

Workplace Type: Onsite Department: Data Engineering Full Time/Part Time: Full Time Shift Pattern: Days 2nd Office Location: UK - Manchester Job Type: Standard