Carbon Analysis Engineer

Climate change is the defining business challenge of our time, and we're here to solve it. Most decarbonisation solutions count emissions but do nothing to reduce them. We've changed that.

We’re Neutreeno, an emissions-to-performance platform, born out of the University of Cambridge's Department of Engineering. We help companies with supply chains and production processes turn emissions data into operational insight, the kind that cuts costs, sharpens decisions, and unlocks genuine competitive advantage. For operations and finance, it's margin they can measure. For sustainability teams, it's progress they can prove. Same data, two audiences, one engine.

We’re a fast-moving team that values EQ just as much as IQ. Autonomy, high ownership, speed and no-ego collaboration are at our core. We seek people who care deeply and are eager to work on solving problems bigger than themselves.

As a Carbon Analysis Engineer at Neutreeno, you’ll take ownership of automating how our emissions and decarbonisation insight reaches customers. You’ll sit at the intersection of emissions science and data engineering, turning the outputs of our novel methodologies for scientifically measuring greenhouse gas emissions across complex industrial processes into carbon and performance insights, accurately and at scale. Working across diverse sectors from jet engine production to energy infrastructure and pharmaceutical manufacturing, you’ll collaborate with our data science, modelling and customer-facing teams to replace manual data validation and processing effort with production-grade pipelines, and to make sure every figure that reaches a customer is one we can stand behind. You will also be part of direct customer delivery of insights, supporting the Customer Success team in building the narrative and presentations.

This is a role for someone who thrives in a dynamic, fast-paced startup and enjoys building and maintaining scalable, observable data infrastructure; diving deep into complex industrial processes to understand their fundamentals; analysing datasets to uncover emission patterns and opportunities; managing multiple workstreams and priorities; and continuously learning at the intersection of engineering, climate science and industrial operations.