At a Glance
- Tasks: Create and maintain regulatory reporting systems on Google Cloud Platform.
- Company: Join bet365, a leading online gambling company revolutionising the industry since 2000.
- Benefits: Opportunities for growth, creativity, and making a real impact in online gambling.
- Other info: Collaborative environment with a focus on AI-driven development and automation.
- Why this job: Be part of a forward-thinking team pushing boundaries in software innovation.
- Qualifications: Experience with Google BigQuery, SQL, and cloud services required.
The predicted salary is between 50000 - 70000 £ per year.
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.
As a Regulatory Data Developer, 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 teams 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.
- 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 teams 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.
Data Engineer (GCP) in Warrington employer: bet365
Contact Detail:
bet365 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (GCP) in Warrington
✨Tip Number 1
Network like a pro! Reach out to current employees at bet365 on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Regulatory Data team.
✨Tip Number 2
Prepare for your interview by brushing up on GCP services and SQL development. Be ready to discuss your past projects and how you've tackled complex data challenges. Show us your passion for innovative solutions!
✨Tip Number 3
Don’t just apply; engage with our content! Follow bet365 on social media, comment on posts, and share relevant articles. This shows your enthusiasm for the company and keeps you on our radar.
✨Tip Number 4
When you get that interview, ask insightful questions about the team’s current projects and future goals. This not only demonstrates your interest but also helps you understand how you can contribute to our mission.
We think you need these skills to ace Data Engineer (GCP) in Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with GCP, SQL, and any relevant projects that showcase your skills in data pipeline development and automation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission at bet365. Don’t forget to mention your interest in AI-driven solutions!
Showcase Your Technical Skills: Be specific about your technical skills in your application. Mention your familiarity with tools like BigQuery, Terraform, and CI/CD pipelines. We want to see how you can contribute to our innovative environment!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at bet365
✨Know Your GCP Inside Out
Make sure you brush up on your knowledge of Google Cloud Platform, especially BigQuery and other services mentioned in the job description. Be ready to discuss how you've used these tools in past projects and how they can be applied to regulatory data systems.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL prowess by discussing complex queries you've written or optimised. You might even want to bring examples of stored procedures or performance-tuning techniques you've employed in previous roles to highlight your expertise.
✨Emphasise Your Problem-Solving Approach
The role requires a methodical mindset with high attention to detail. Be prepared to share specific examples of how you've broken down complex problems into manageable solutions, particularly in fast-paced environments. This will show that you can thrive under pressure.
✨Get Familiar with AI Tools
Since the job mentions interest in AI-assisted development tooling, do some research on Claude Code or similar tools. Be ready to discuss how you envision leveraging AI to improve efficiency and quality in your work, as this could set you apart from other candidates.