At a Glance
- Tasks: Build and own a cutting-edge data platform for energy exploration.
- Company: Join a well-funded start-up with ambitious growth plans.
- Benefits: Competitive salary up to £100,000, equity, and a dynamic work environment.
- Other info: Opportunity for leadership growth and collaboration with a multidisciplinary team.
- Why this job: Shape the future of energy with innovative tech and make a real impact.
- Qualifications: Experience in cloud environments, strong Python skills, and familiarity with GCP tools.
The predicted salary is between 60000 - 80000 £ per year.
Build and own a greenfield platform shaping the future of energy exploration. Join a well-funded start-up with strong backing and clear growth plans. Own and shape a modern data platform built on GCP and cutting-edge tools. Real opportunity to grow into a future leadership role.
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.
What you'll be doing:
- 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.
This role is great for someone with a solid background, loves variation and a new challenge. Sound like you? Apply today!
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.
- A few years of 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:
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 Senior Data Platform Engineer role feels like it could be a good fit and the location works, please feel free to pop an application across and we'll review ASAP!
Senior Data Platform Engineer (m/f/d) in London employer: Adlib
Join a dynamic and innovative start-up that is at the forefront of energy exploration, where you will have the opportunity to build and own a cutting-edge data platform on GCP. With a strong focus on employee growth and a collaborative work culture, this role offers not only competitive compensation and equity but also the chance to step into a leadership position as the company scales. Located in London, you'll be part of a multidisciplinary team dedicated to tackling significant challenges in the energy sector, all while enjoying the benefits of a supportive and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer (m/f/d) in London
✨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 (m/f/d) 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 (m/f/d) 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 (m/f/d) in London
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.
