Data EngineerLondon Hybrid - 4 Day Work Week£70,000 - 90,000 per year

About usClimate Policy Radar is an independent non-profit building open, credible databases and AI-powered tools for climate, nature, and development action.

Our data and tools help governments, researchers, international organisations, civil society, and the private sector to understand and advance effective climate policies and deploy climate finance. Harnessing data science and AI – including pioneering applications of natural language processing in this field – we make previously unstructured, siloed data easier to find, understand, and act on.

We are a team of policy experts, engineers, data scientists, product thinkers, communicators, and operators. We care deeply about how we work – our values, culture, and ways of collaborating – as well as what we build. As part of that, we have embraced a flexible, hybrid approach to work, including a four-day workweek.

Roles and responsibilitiesClimate Policy Radar's engineering org is split into a few functional teams: programmes (domain experts), platform (high-quality data sharing), application (user-facing tools), and data science (models and evaluation). Despite those splits, most of our work is cross-functional.

We are looking for a Data Engineer to join our Platform team. In this role, you will help build and improve the data and machine learning infrastructure supporting our R&D and production environment.

Some of our priorities for 2026 that you could work on: Laying the groundwork to make our core product multilingual in 2027 (French, Spanish & Portuguese), to open up information across linguistic boundariesUsing our Data Lake to improve our data lifecycle and data sharing capabilities, and unlocking visualisations with our domain expertsImproving the search engine in our core product to help people find what they are looking forIncorporating GenAI and RAG into our core product to enable move us from search engine to evidence synthesis (e.g., summaries, Q&A, comparisons)Sharing our data and services externally so that others can build upon our workMaturing pipelines for training and deploying machine learning classifiers for identifying topics in climate related documents.

Tech Stack:Data & infrastructure: Snowflake, Docker, AWS (ECS, S3, etc.), Pulumi, Prefect, GitHub ActionsSearch: VespaAPIs & backend: Python, FastAPI, PostgreSQLData Science: PyTorch, Huggingface, Pydantic AI, Pandas, Spacy, Weights & Biases

You bring with you:You have enthusiasm for:Building data pipelinesScaling data infrastructureProductionising machine learningOptimising search technologiesData governance & quality

It would be a bonus if you had familiarity with:Knowledge GraphsText ClassificationGenerative AIDevops or ObservabilityData Lakes / Data Warehouses

We are looking for candidates with significant experience in highly collaborative cross-functional teams, excitement about working in a start-up / scaleup environment and all that brings.We are a mission driven organisation, and work best with people who have strong alignment with our values. We care about them deeply.

We actively encourage applicants from diverse and historically underrepresented backgrounds. Not sure if you tick all the boxes but feel like you align with our values, are excited about working in Climate Change and AI and have the potential to do well in the role? Click apply! We’d love to hear from you.

Salary and Benefits:Salary: Up to £70k - £90k pa DOEA deep commitment to employee wellbeing, including policies such as 4 day workweek (same pay, Fridays off), unlimited annual leave, and a wellbeing allowanceA vibrant, collaborative, empathetic work culture that thrives on innovation and the impact of our workHybrid work environment (2 days a week) in London, currently at Sustainable Ventures in County Hall with a plan to move to TechSpace in Goswell Road in late March. We welcome conversations about flexibility and remote work to accommodate individual needs

Interview processWe know that applying for a new job can be full of uncertainties - and we aim to reduce those by communicating clearly. Our process is made of several stages (see below). After each stage, we’ll contact you as soon as we can and no longer than 2 working days, to let you know if you will be progressing to the next stage.If you have a disability or special need that requires accommodation during the process of application and selection, please let us know.

Process:30-60 minute screening call with our recruiter60 minute remote behavioural interview with two team membersTechnical skills: 90 minute remote paired code task (for everyone) & 60 minute remote system design task (for senior candidates only)30 minute in-person final fit interview with CEO and Head of People (you’ll also have the opportunity to meet the team at this stage - not a part of the interview, but gives you the opportunity to get to know the team and learn more about us in an informal setting)Offer subject to references

We’ve all felt the anxiety of waiting to hear back from interviews, so we will contact you no later than 2 working days after each interview to let you know if you will be progressing.

Right to Work in the UKUnfortunately, we are currently unable to sponsor work visas. Only applicants legally authorised to work in the UK will be considered.

Equal opportunitiesAt Climate Policy Radar, We are committed to fostering a workplace that is inclusive and equitable. Climate Policy Radar welcomes applicants from all backgrounds and does not tolerate discrimination in any aspect of employment. We actively work to ensure equal opportunities for all, regardless of heritage, ancestry, national origin, citizenship, religion, sex, sexual orientation, gender identity, age, disability, relationship choices, or criminal history, in line with legal requirements. We also consider qualified applicants regardless of criminal histories, in line with legal requirements.

Not sure if you tick all the boxes but feel like you align with our values, are excited about working in Climate Change and AI and have the potential to do well in the role? Click apply! We’d love to hear from you.