At a Glance
- Tasks: Transform complex workflows into scalable systems and manage a cutting-edge data platform.
- Company: Join an innovative tech-led exploration company tackling energy challenges.
- Benefits: Competitive salary up to £100,000, equity options, and growth opportunities.
- Other info: Work in a dynamic start-up environment with a focus on collaboration.
- Why this job: Be at the forefront of energy innovation and make a real impact.
- Qualifications: Experience in cloud environments, strong Python skills, and familiarity with GCP tools.
The predicted salary is between 90000 - 100000 £ per year.
We’re working with an early‑stage, well‑funded tech‑led exploration company that’s tackling one of the biggest challenges in energy today. They’re building a new approach to natural exploration, using advanced data, geoscience, and cloud tech to drive smarter decisions. They’re now looking for a Senior Data Platform Engineer to take ownership of their growing platform and help scale it as the business expands globally.
This Senior Data Platform Engineer role sits at the heart of a multidisciplinary team of scientists, analysts, and engineers. You’ll work closely with them to turn complex workflows into robust, scalable systems. It’s a hands‑on role where you’ll create, own, and improve everything from data pipelines to internal tools, helping move the business from early‑stage build to a more mature platform.
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 Terraform. You’ll also help build internal applications using Python, FastAPI, and React, giving teams easy ways to trigger workflows and access data. Alongside this, you’ll improve data quality, monitoring, and automation, ensuring everything is robust, secure, and scalable.
What experience you’ll need to apply:
- Several years of strong experience as a Data Engineer or Platform Engineer in a cloud environment
- Solid Python skills, including building backend services and working with data workflows
- Experience with GCP, including BigQuery and cloud‑native tools
- Hands‑on experience with Airflow, dbt, and modern data pipelines
- Infrastructure as code experience, ideally using Terraform
- Experience building or contributing to internal tools or applications
- Strong SQL and data modelling skills
- 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
- Ability to come into the London office three days per week
What you’ll get in return for your experience:
Salary 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. Required to work in the London office three times per week.
Senior Data Platform Engineer in London employer: Adlib
Join an innovative tech-led exploration company that is at the forefront of tackling energy challenges through advanced data and geoscience. As a Senior Data Platform Engineer, you will thrive in a dynamic work culture that values collaboration and creativity, with ample opportunities for professional growth and development. Enjoy competitive compensation, equity options, and the chance to make a significant impact as the company scales globally from its London base.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. Building relationships can lead to insider info about job openings and even referrals.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving GCP, Python, and data pipelines. This will give potential employers a clear view of what you can bring to the table.
✨Tailor Your Approach
When reaching out to companies, make sure to tailor your message to their specific needs. Highlight how your skills in building scalable systems and improving data quality align with their goals. Personalisation goes a long way!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website for the best chance at landing that Senior Data Platform Engineer role. It’s the quickest way to get noticed by the hiring team!
We think you need these skills to ace Senior Data Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Platform Engineer. Highlight your experience with GCP, Python, and any relevant tools like Airflow and dbt. We want to see how your skills align with what we're looking for!
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 you can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any cool projects or built internal tools, make sure to mention them! We’re interested in seeing how you’ve turned complex workflows into scalable systems. Share links or descriptions that demonstrate your hands-on experience.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Adlib
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like GCP, BigQuery, and Terraform. Brush up on your Python skills too, as you'll likely be asked to demonstrate your understanding of backend services and data workflows.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've turned complex workflows into scalable systems. Think about challenges you've faced in previous roles and how you overcame them, especially in a cloud environment.
✨Understand the Company’s Mission
Research the company’s approach to natural exploration and their use of advanced data and geoscience. Being able to articulate how your skills align with their mission will show that you're genuinely interested in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the current state of the data platform, and future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
