About the job
Great Yellow makes landscape regeneration investable and scalable.
We envision a future where regenerative land-use is the norm, delivering measurable environmental recovery, resilient food systems, and long-term economic value. Great Yellow exists create a clear, practical pathway to making this future a reality.
Today, the way we use and manage land is pushing natural and economic systems to a breaking point. Fragile food supply chains, degraded ecosystems, rising climate risk and failing infrastructure are driving real and growing costs for communities and the economy.
By rethinking how we work with land and value nature, we can create landscapes that provide clean water, abundant nature, stable production, and long term security.
Great Yellow works to drive this transformation, moving beyond extractive models to unlock economic and ecological regeneration.
We work with:
Land Managers of ambitious nature recovery projects to plan and deliver ambitious, landscape-scale transformation
Project Investors seeking opportunities to generate robust, risk-adjusted returns alongside verified environmental impact
Buyers of ecosystem services seeking high-integrity, high-impact natural capital solutions to strengthen resilience and reduce nature-related risks
And many other partners and specialists in the restoration journey
Role Overview
Sustainability Data Analytics Engineers are a new kind of role at Great Yellow: part data engineer, part climate analyst, part investment modeller. You’ll sit at the intersection of our nature restoration projects and our investor clients, doing the hands-on, technical work of turning large, complex environmental datasets into the models that drive real investment decisions.
This is a deliberately senior position. We’re building a data capability that pulls information from across our projects — fire risk, water quality, spatial ecology, biodiversity metrics, ESG indicators — aggregates it in our own systems, and synthesises it into a clear picture that Great Yellow and our clients can act on. You’ll shape how that data is accessed, stored, structured, and ultimately used.
Concretely, you’ll work with large-scale environmental and geospatial datasets, overlaying and cross-referencing them to surface insight — mapping ecological data against fire risk layers to identify what reduces exposure, combining spatial and financial data to support an investor’s due diligence, building the analytical models that turn raw data into confident capital allocation. You’ll look at what data works and what doesn’t, and paint the picture that helps our clients invest.
Working closely alongside our Data Analyst, you’ll collaborate with product and commercial teams and help shape the data products that will drive Great Yellow’s next phase of growth.
