Carbon Analysis Engineer

ABOUT NEUTREENO

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'smarginthey 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 king 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 work streams and priorities; and continuously learning at the intersection of engineering, climate science and industrial operations.

This position operates on a hybrid work model with 3 days per week in our Cambridge office. Fully remote arrangements will be considered for outstanding candidates, provided there is sufficient overlap with UK working hours.

• Own current customer delivery pipeline: interpretation, extraction and validation of customer-provided data against mass and energy balances and engineering heuristics.
  
  Then turn your findings into clear insights, which you will present to customers alongside the Customer Success team.
• Deliver end-to-end automation of the above customer data pipeline (ingestion -> extraction -> validation -> analysis), turning a semi-manual process into a scalable, fully automated, auditable pipeline.
• Team up with cross-functional partners to shape new reporting features, translating technical breakthroughs into functionality that helps customers identify, track and amplify decarbonisation wins across their entire value chains.
• Work with our methodology for tracking compliance readiness and gaps in leading standards such as ISO, PACT and the Greenhouse Gas Protocol, and help encode them into reporting and modelling logic. You will also own the central knowledge hub of our methodology to support commercial queries related to our methodology.

• Bachelor’s or master’s degree in chemical engineering or a related field.
• 1+ years of experience in Python-based tools: placements, internships and substantial projects on building pipelines and reusable tooling rather than one-off analysis scripts.
• Familiarity with CI/CD practices:
  Git Hub, linting, automated tests and integration tests as part of the PR workflow.
• 1+ years of experience in carbon accounting under leading frameworks (e.g., GHG Protocol, ISO 14064, CBAM, PACT).
• Proven experience in industrial decarbonisation specification and modelling, preferably with a focus…