Senior Data Engineer (GCP/Platform) in City of London

Senior Data Engineer (GCP/Platform) in City of London

City of London Full-Time 100000 - 100000 £ / year (est.) Home office (partial)
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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: Salary up to £100K plus equity and career progression opportunities.
  • Other info: Join a collaborative team and shape the future of data platforms.
  • Why this job: Take ownership of impactful projects in a dynamic 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.

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 (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 City of London employer: ADLIB Recruitment | B Corp™

Join a dynamic and innovative start-up in London, where you'll have the opportunity to take full ownership of a cutting-edge GCP data platform from day one. With a strong focus on employee growth and progression into leadership roles, this company fosters a collaborative work culture that values technical expertise and creativity. Enjoy competitive compensation, equity options, and the chance to make a significant impact as the business scales globally.

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Contact Details:

ADLIB Recruitment | B Corp™ Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer (GCP/Platform) in City of London

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Apply Directly through Our Website

When you find a suitable opening like Senior Data Engineer (GCP/Platform) at ADLIB Recruitment | B Corp™, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Engineer (GCP/Platform) in City of London

SQL
Python
Data Pipeline Development
Problem-Solving Skills
Data Engineering
API Integration
Communication Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at ADLIB Recruitment | B Corp™, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ADLIB Recruitment | B Corp™. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at ADLIB Recruitment | B Corp™

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ADLIB Recruitment | B Corp™!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.