At a Glance
- Tasks: Create and maintain regulatory reporting systems on Google Cloud Platform.
- Company: Join a global leader in the tech industry with a passion for innovation.
- Benefits: Enjoy competitive salary, eye care, flu vaccinations, and life assurance.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make an impact by developing cloud-native solutions and exploring AI-driven automation.
- Qualifications: Experience with GCP, SQL, and data pipeline development is preferred.
The predicted salary is between 50000 - 70000 £ per year.
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.
Preferred Skills and Experience:
- 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.
What you will be doing:
- 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 adhering 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.
Bonus:
- Eye care and Flu Vaccinations
- Life Assurance
Life at bet365: We are a unique global operator with passion and drive to be the best in the industry. Our values form the foundation of culture and shape the unique way that we work. People are our superpower and we support you to be the best you can be.
Data Engineer (GCP) in London employer: bet365 Group
Contact Detail:
bet365 Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (GCP) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GCP and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s tech stack. Practice common interview questions related to data engineering and be ready to discuss your past experiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Engineer (GCP) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your experience with GCP, SQL development, and any relevant projects that showcase your ability to build and maintain data systems.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our needs. Mention specific tools and technologies you've worked with, like BigQuery or Terraform, to show you’re a great fit for the role.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing how you break down problems and come up with innovative solutions, especially in fast-paced environments.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at bet365 Group
✨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 or how you would approach specific tasks related to regulatory data systems.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL prowess by discussing complex queries you've written or optimised. You might even want to practice writing a few sample queries beforehand, as this could come up during technical discussions.
✨Emphasise Your Methodical Approach
The role requires a methodical mindset with high attention to detail. Be prepared to share examples of how you've broken down complex problems into manageable solutions in previous roles, particularly in fast-paced environments.
✨Get Familiar with AI Tools
Since the job mentions AI-assisted development tooling like Claude Code, it’s a good idea to research this area. Be ready to discuss how you see AI impacting data engineering and any relevant experiences you have with automation or AI-driven solutions.