At a Glance
- Tasks: Create and maintain regulatory reporting systems on Google Cloud Platform.
- Company: Join bet365, a forward-thinking company that values diversity and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on personal and professional development.
- Why this job: Be at the forefront of cloud technology and AI-driven solutions in a dynamic team.
- Qualifications: Experience with GCP, SQL, and data pipeline development is essential.
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.
- 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) 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, you will have the opportunity to work with cutting-edge technologies on Google Cloud Platform, while benefiting from a supportive environment that prioritises employee growth and development. Our commitment to inclusivity ensures that every team member 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)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving GCP and SQL. Share your GitHub link when you apply through our website, so potential employers can see your work in action.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and GCP knowledge. Practice common data engineering problems and be ready to discuss how you’ve tackled challenges in past projects. Confidence is key, so show them you’re the right fit!
✨Follow Up
After an interview, don’t forget to send a quick thank-you email. It shows your appreciation and keeps you fresh in their minds. Plus, it’s a great opportunity to reiterate your enthusiasm for the role and the company!
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 our mission at StudySmarter. 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 GCP services, SQL Server, and any experience with Infrastructure as Code or CI/CD pipelines. We love seeing concrete examples of your work!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
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 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 reporting 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.
✨Understand the Migration Process
Since the role involves migrating from SQL Server to GCP, it’s crucial to understand the challenges and strategies involved in such migrations. Be prepared to share your thoughts on best practices and any relevant experiences you have.
✨Emphasise Collaboration and Communication
This role requires working closely with team members and stakeholders. Highlight your experience in collaborative environments and how you’ve effectively communicated complex technical concepts to non-technical audiences.
