At a Glance
- Tasks: Build and own data models on BigQuery for trading and finance.
- Company: Global exchange with a focus on AI and data innovation.
- Benefits: Competitive salary, exciting projects, and a chance to shape the future of FinTech.
- Other info: Opportunity to work on greenfield projects in a dynamic FinTech setting.
- Why this job: Join a cutting-edge team and make impactful decisions in a live trading environment.
- Qualifications: 5+ years in data engineering with GCP and BigQuery experience.
The predicted salary is between 70000 - 90000 £ per year.
A global exchange with a media and market data business attached are building out their AI & Data Platform team and need multiple Senior Data Engineers based in London to help the business move to Google Cloud and become AI-ready for the multi-agent projects in the pipeline.
If you're at a Google Cloud partner and you've spent years implementing this stack for other businesses, BigQuery, Composer, Looker, enterprise agent platform then this is the role where you can own it. You build it, you run it, and the output feeds real trading and compliance decisions on a live, regulated exchange operating at huge scale.
What you'll be doing:
- Building and owning dbt models on BigQuery across trading, finance, and regulatory domains
- Supporting both BI users (Looker dashboards) and AI agents consuming governed data via MCP
- Owning pipeline reliability during London hours; incident response, schema drift, reconciliation breaks
- Semantic layer work that needs to be precise enough for AI agents to query correctly
What they're looking for:
- 5+ years in data engineering, production pipelines, layered architectures
- GCP / BigQuery hands-on experience, as well as other Google Cloud services.
- Looker / LookML is a plus
If you're looking to join a business with plenty of greenfield projects, who are serious about AI and likes the idea of being in the FinTech world, this could be a great fit. Comp is competitive and reflective of experience.
Senior Data Engineer (GCP) in London employer: Orbis Group
Join a forward-thinking global exchange in London, where innovation meets opportunity. As a Senior Data Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and creativity, while enjoying competitive compensation and extensive growth opportunities in the rapidly evolving FinTech landscape. With a focus on AI readiness and greenfield projects, this role offers you the chance to make a significant impact in a regulated environment, all while being part of a team that values your expertise and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (GCP) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with GCP or in FinTech. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving BigQuery and Looker. 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 knowledge and problem-solving skills. Be ready to discuss your experience with production pipelines and layered architectures, as these are key for the role.
✨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, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Data Engineer (GCP) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GCP, BigQuery, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for data engineering and AI, and let us know how your background makes you a great match for our team.
Showcase Your Projects:If you've worked on any interesting projects, especially those involving data pipelines or AI, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions that highlight your contributions.
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’re considered for the role. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Orbis Group
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially BigQuery and other services mentioned in the job description. Be ready to discuss your hands-on experience and how you've implemented these tools in past projects.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience with production pipelines and layered architectures. Have specific examples ready that demonstrate your ability to build and maintain reliable data systems, as this is crucial for the role.
✨Familiarise Yourself with BI Tools
Since Looker and LookML are mentioned, it’s a good idea to have a solid understanding of these tools. If you’ve used them before, be prepared to share how you’ve created dashboards or supported BI users in your previous roles.
✨Emphasise Problem-Solving Skills
The role involves owning pipeline reliability and incident response, so think of scenarios where you’ve successfully resolved issues in data pipelines. Highlight your analytical skills and how you approach troubleshooting to ensure smooth operations.
