At a Glance
- Tasks: Create and maintain regulatory reporting systems on Google Cloud Platform.
- Company: Join bet365, a leader in tech innovation and inclusivity.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Collaborative team environment focused on innovation and quality.
- Why this job: Make an impact with cutting-edge tech and AI-driven solutions.
- Qualifications: Experience with GCP, SQL, and data pipeline development.
The predicted salary is between 50000 - 70000 £ per year.
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 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.
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 Manchester employer: 慨正橡扯
At bet365, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Engineer in our Regulatory Data team, you will have the opportunity to work with cutting-edge technologies like Google Cloud Platform, while benefiting from a supportive environment that encourages professional growth and development. Our commitment to diversity and inclusion ensures that every employee feels valued and empowered to contribute to meaningful projects that drive our success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (GCP) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GCP and data pipelines. This gives you a chance to demonstrate your expertise and passion for data engineering beyond just your CV.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. Think about how you would tackle real-world problems, especially those related to regulatory reporting and cloud migration. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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 Manchester
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 data engineering and how your background aligns with our mission at StudySmarter. Be sure to mention any specific tools or technologies you’ve worked with.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—show us how you've used them to solve real-world problems. Whether it's optimising a data pipeline or migrating systems, we want to see your thought process and results.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward, and you’ll be able to keep track of your application status easily. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at 慨正橡扯
✨Know Your GCP Inside Out
Make sure you brush up on your knowledge of Google Cloud Platform, especially BigQuery and other services like Cloud Storage and Pub/Sub. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL prowess by discussing complex queries you've written or optimised. You might even be asked to solve a problem on the spot, so practice writing stored procedures and performance-tuning data workloads beforehand.
✨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 requirements into simple solutions, particularly in data pipeline development or during migrations from SQL Server to GCP.
✨Get Familiar with AI Tools
Since the team is exploring AI-driven development, it’s a good idea to familiarise yourself with AI-assisted tools like Claude Code. Discuss any experience you have with automation strategies and how they can improve efficiency and reliability in data processes.
