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 data engineering, strong Python skills, and familiarity with GCP.
The predicted salary is between 63000 - 77000 £ 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 employer: Adlib
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact business decisions. With competitive benefits and ample opportunities for professional growth, this role in data management not only allows you to hone your technical skills but also empowers you to lead initiatives that drive meaningful change. Located in a vibrant area, you'll enjoy a supportive environment that fosters creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Adlib!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Platform Engineer at Adlib.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Adlib.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Platform Engineer at Adlib, 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 Platform Engineer
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, 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. 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
✨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!
✨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.
