At a Glance
- Tasks: Build and own a GCP data platform, evolving it as the business scales.
- Company: Exciting Series A start-up with strong funding and growth potential.
- Benefits: Up to £100K salary, equity options, and a clear path for career progression.
- Other info: Work in a collaborative start-up culture with opportunities for leadership.
- Why this job: Join a dynamic team and make a real impact in a high-tech environment.
- Qualifications: Strong Data Engineering experience, GCP knowledge, and Python skills required.
The predicted salary is between 100000 - 100000 £ per year.
Build and own a GCP data platform in a high-impact, early-stage business. Own and shape a GCP data platform (BigQuery, Airflow, dbt). Real progression into a future leadership role.
We're working with an early-stage, well-funded tech-led start-up. They're looking for a Senior Data Platform Engineer to take ownership of their growing platform and help scale it as the business expands globally.
What you'll be doing
This is a key hire for the business, with real ownership from day one and scope to grow into a broader leadership role as the company scales. You'll sit at the centre of a highly technical team of scientists and engineers, taking ownership of a growing data platform and evolving it as the business scales. This is a hands-on role where you'll build, improve and own pipelines, internal tools and platform services end-to-end.
As Senior Data Platform Engineer, you'll take full ownership of the existing data platform and evolve it as the business grows. You'll work across backend services, cloud infrastructure, and internal tools. A big part of the role is turning experimental workflows and scripts into reliable, production-ready systems that scientists can trust and use daily.
You'll manage and extend a GCP-first platform, working with tools like BigQuery, Airflow, dbt, and so much more.
What experience you'll need to apply
- Strong Data Engineering experience in a cloud environment
- Hands-on experience with GCP (and BigQuery)
- Experience building data pipelines (Airflow, dbt or similar)
- Strong Python skills (production pipelines or backend work)
- Solid SQL and data modelling
- Nice to have: Terraform or infrastructure exposure
- Experience building internal tools or working cross-functionally
- Comfortable working in a start-up or scaling environment is a bonus
- Bonus points if you've worked with React, FastAPI, or in scientific or energy domains
What you'll get in return
The role offers a salary of up to £100,000 DOE, alongside equity in a growing business with long-term ambition. You'll be joining at a key stage, with strong recent funding and a clear path towards further investment. You'll be required to go into the London office three times per week.
What's next?
If this sounds like something you'd enjoy, please apply and we'll come back to you ASAP!
Senior Data Engineer (GCP/Platform) in London employer: ADLIB Recruitment | B CorpTM
Join a dynamic and innovative start-up where you will have the opportunity to build and own a cutting-edge GCP data platform from the ground up. With a competitive salary of up to £100,000 plus equity, you'll be part of a collaborative work culture that values technical expertise and offers real progression into leadership roles as the company scales globally. Located in London, this role provides a unique chance to make a significant impact in a high-growth environment while working alongside a talented team of scientists and engineers.
Contact Details:
ADLIB Recruitment | B CorpTM Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (GCP/Platform) in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at meetups. A personal connection can often get you noticed faster than a CV.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to GCP, BigQuery, or data pipelines, make sure to share it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges that focus on data engineering problems to show you’re ready for the hands-on aspects of 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 are proactive about their job search!
We think you need these skills to ace Senior Data Engineer (GCP/Platform) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GCP, BigQuery, and data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this Senior Data Engineer role. Share your passion for data engineering and how you can contribute to our growing platform. Keep it engaging and personal!
Showcase Your Technical Skills:We’re looking for strong Python skills and experience with tools like Airflow and dbt. Be sure to mention specific projects where you’ve used these technologies, as it’ll help us understand your hands-on experience.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at ADLIB Recruitment | B CorpTM
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially BigQuery and Airflow. Be ready to discuss how you've used these tools in past projects and how they can be applied to build a robust data platform.
✨Showcase Your Pipeline Skills
Prepare to talk about your experience building data pipelines. Have specific examples ready that demonstrate your hands-on work with Airflow or dbt, and how you've turned experimental workflows into reliable systems.
✨Demonstrate Leadership Potential
Since this role has a clear path to leadership, think about times when you've taken ownership of projects or led teams. Share these experiences to show you're ready to step up as the company scales.
✨Be Ready for Technical Questions
Expect some technical questions around Python, SQL, and data modelling. Brush up on your coding skills and be prepared to solve problems on the spot, as this will showcase your technical prowess and problem-solving abilities.
