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- Tasks: Create and maintain regulatory reporting systems on Google Cloud Platform.
- Company: Join Bet365, a leading online gambling company with a culture of innovation.
- Benefits: Competitive salary, growth opportunities, and a creative work environment.
- Other info: Collaborative team atmosphere with a focus on AI-driven solutions.
- Why this job: Make a real impact in the online gambling industry with cutting-edge technology.
- Qualifications: Experience with GCP, SQL, and data pipeline development required.
The predicted salary is between 50000 - 70000 £ per year.
hackajob is collaborating with Bet365 to connect them with exceptional professionals for this role. Bet365 is one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, it employs over 9,000 people and serves over 100 million customers in 27 languages. Its focus on In-Play betting has solidified its market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees opportunities for growth and the chance to make a real impact in online gambling. Bet365 is committed to software innovation, redefining what is possible for 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 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.
- 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.
Data Engineer (GCP) employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (GCP)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Bet365. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to GCP or data engineering, make sure to share it during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for technical questions! Brush up on SQL and GCP services, as they’re likely to come up. Practising common scenarios can help you feel more confident when discussing your experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer (GCP)
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 development, 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 Bet365's mission. Don’t forget to mention your interest in AI-assisted development tooling!
Showcase Your Technical Skills: Be specific about your technical skills in your application. Mention your familiarity with Google BigQuery, Cloud Storage, and any experience with Infrastructure as Code tools like Terraform. This will help us see how you fit into our team.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at hackajob
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially BigQuery and other relevant services like Cloud Storage and Pub/Sub. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role at Bet365.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL prowess by writing complex queries or discussing performance tuning. You might even be asked to solve a problem on the spot, so practice your query-writing skills beforehand to feel confident during the interview.
✨Understand the Regulatory Landscape
Familiarise yourself with the regulatory requirements that Bet365 must adhere to. Being able to discuss how your experience aligns with these regulations will show that you understand the importance of compliance in the data engineering field.
✨Emphasise Collaboration and Communication
Since you'll be working closely with other team members, highlight your teamwork and communication skills. Share examples of how you've collaborated on projects in the past, especially in fast-paced environments, to demonstrate your ability to deliver high-quality solutions under pressure.