Data Engineer

Climate Policy Radar is on a mission to help people access and understand long climate documents. Nearly 350,000 users from over 100 countries already use our open databases and AI-based research tools to search through 500,000+ pages of climate documents from around the world.

We care deeply about creating trustworthy tools that have a real impact on climate decisions. Our exciting, impactful work is right at the cutting edge of AI, and at the epicentre of global climate action. In 2025, we are bringing in and structuring even more climate documents, improving our search and synthesis functionality, and making it easier for people to make sense of the evidence they need for better, faster climate decisions.

We are a not-for-profit startup, with a team of ~30 technologists and climate policy experts who care a lot about the ‘how’ (our values and culture) as well as the ‘what’. As part of that, we have embraced a flexible, hybrid approach to work, including a 4 day workweek.

We are looking for a Data Engineer to join our Platform team. Working with the existing team of three engineers and collaborating with the data science and application teams. In this role, you will help build and improve the data and machine learning infrastructure supporting our R&D and production platforms of high-impact tools and products for global climate law and policy, already serving 330,000 users annually and opening up 500,000 pages of climate documentation.

Some examples of what you will work on:

• Pipelines for training and deploying bespoke classifiers for identifying structure in our unstructured document datasets

• Building out the infrastructure to serve our knowledge graph at scale across our product portfolio

• Productionising our generative AI workstreams to support deploying and leveraging open source large language models

• Building infrastructure and tooling for enabling internal teams, by scaling our data infrastructure, optimizing for reliability and cost, or improving our search service

Tech Stack:

• Platform: AWS, Pulumi, Docker, Prefect, Github actions, Grafana cloud monitoring

• Data Science: Python, PyTorch, Pandas, Spacy, Huggingface, Numpy, Streamlit, Argilla, Weights and Biases

• Backend: Python, FastAPI, PostgreSQL, Vespa, SQLAlchemy, AWS Batch, Lambda, S3

• Frontend: React, Next.js

• Experience using Python

• Experience with data modelling, and building data infrastructure

• Experienced in MLOps and building scalable data pipelines for ingestion and document processing

• Experience in at least one area of data science we work on: knowledge graphs, information retrieval, text classification, generative AI

• Experience working with machine learning models in production systems

• Experience using and maintaining cloud infrastructure

• Experience with DevOps/infrastructure/SRE, tools used for automation, CI/CD, infra-as-code, containerisation, orchestration

• Experience with system design, working on system architecture or making technical decisions, whether individually or with a team

• Extensive knowledge of different data stores, and formats

• Solid understanding of software engineering fundamentals, version control, observability, unit and integration testing

Our ideal candidate will champion engineering excellence, open source, enabling internal users and creating delightful user experiences.

We are looking for candidates with significant experience in highly collaborative cross-functional teams, excitement about working in a startup/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.

• Salary: Up to 75k pa DOE

• A deep commitment to employee wellbeing, including policies such as 4 day workweek (same pay, Fridays off), unlimited annual leave, and a wellbeing allowance

• A vibrant, collaborative, empathetic work culture that thrives on innovation and the impact of our work

• Either remote working or in a hybrid work environment (2 days a week) in London’s leading climate tech hub, offering views of the river in London’s County Hall Building.