At a Glance
- Tasks: Design and build data pipelines for a regenerative economy platform.
- Company: Join Great Yellow, an innovative start-up focused on ecological restoration.
- Benefits: Flexible work environment, collaborative culture, and opportunities for personal growth.
- Other info: Be part of a passionate team dedicated to sustainability and innovation.
- Why this job: Make a real impact on the planet while working with cutting-edge technology.
- Qualifications: 5+ years in data engineering, strong SQL skills, and experience with ETL processes.
The predicted salary is between 60000 - 80000 £ per year.
At Great Yellow, we’re looking for a Senior Data Platform Engineer to join our team.
Great Yellow is building the operating system for a regenerative economy. Our mission is to make regenerative land-use investable and scalable, helping businesses, investors, and land managers move from intention to investable action. We’re proving it in the UK on landmark landscape recovery projects, with proprietary natural capital valuation models and a growing team of advisors, project managers, ecological experts, engineers, and product thinkers.
We’re building the intelligence layer that will fundamentally reshape how land-use decisions are made, financed and scaled, toward a world where those decisions are systematically aligned across nature, infrastructure, agricultural production and human wellbeing. This is a system designed not just to analyse the world, but to actively coordinate regenerative land-use across landscapes, supply chains and asset classes.
We’re a small, early-stage technical team inside a wider commercial business. We ship fast, validate, and iterate.
About the Role
We’re looking for a senior engineer to design, build, and own the data pipelines and data architecture that feed both our customer-facing platform and our internal teams, and who has the software-engineering range to jump in alongside our product engineers when the work calls for it. This is a hands-on role reporting to the Head of Engineering. The volume of work isn’t the challenge, the variety is. Over the next 6-12 months we expect to stand up many pipelines across very different data shapes, from statutory BNG and carbon datasets to live environmental sensor feeds and investor data products. You’ll be the person who can look at a new source, pick the right pattern for it, build it, and know when and where it will strain.
You’ll thrive here if you like owning a work-stream end-to-end: design doc to production to iteration, without needing the thinking done for you. You’re equally comfortable shaping architecture and getting your hands dirty in the code.
What you’ll do
- Design and own our data pipelines.
- Build and maintain robust ETL workflows across a deliberately diverse set of sources.
- Make sound architecture calls.
- Engage directly with the source.
- Build for reliability.
- Contribute to the platform.
- Use AI as a lever, not a crutch.
- Help shape what’s next.
What we’re looking for
- Data engineering depth.
- Architectural judgement.
- Software-engineering fundamentals.
- Autonomy.
- Versatility.
- Communication.
- Locality.
Nice to have
- Experience building, deploying, and maintaining machine-learning pipelines in production.
- Experience with Retrieval-Augmented Generation, and with vector or graph databases.
- Familiarity with a modern data stack.
- Experience with the Cloudflare ecosystem, or with serverless/edge-first architectures.
- Familiarity with event-driven architectures and message brokers/queues.
- Experience in fintech, climate, or other data-heavy / decision-support domains.
- A genuine interest in sustainability, nature recovery, and conservation finance.
Why Join Great Yellow?
- Be part of an innovative start-up that’s breaking new ground in finance and ecological restoration.
- Engage in meaningful work with the potential to make a lasting impact on the planet.
- Work alongside a passionate and diverse team in an environment that values flexibility, collaboration, autonomy, and growth.
- Our culture is built on three principles: All for the Hive, Shameless Ambition, and Design the Future.
- We’re big believers in flexibility — work where you do your best thinking — but we also value getting together in our office to share ideas (and coffee).
Apply for the job
Do you want to join our team? Then we’d love to hear about you!
Senior Data Platform Engineer in London employer: Homerun B.V.
At Great Yellow, we pride ourselves on being an exceptional employer, offering a unique opportunity to work at the forefront of ecological restoration and sustainable finance. Our collaborative and flexible work culture fosters innovation and personal growth, allowing you to engage in meaningful projects that have a lasting impact on the planet. With a passionate team and a commitment to shared leadership, you'll thrive in an environment that values your contributions and encourages you to design the future of regenerative land-use.
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We think you need these skills to ace Senior Data Platform Engineer in London
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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.