Carbon Analysis Engineer

Neutreeno

. Own the current measurement pipeline, including interpretation, extraction, and validation of customer-provided supply chain and manufacturing data .

Posted 10/31/2026full-timeCambridge • United KingdomJunior💰 £42,000 - £60,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and automating data pipelines, with a strong foundation in Python and industrial processes. Capable of collaborating across teams to enhance decarbonisation efforts through innovative AI solutions and effective communication.

Highest-signal resume keywords

Python-Based ToolsData Pipeline AutomationAI Agent DevelopmentIndustrial Processes UnderstandingCarbon Accounting Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ExtractionData ValidationMass Flow AnalysisEnergy SystemsProcess Engineering ToolsCI/CD PracticesPrompt EngineeringAI Coding AssistantsBuilding PipelinesReusable Tooling

Soft Skills

Strong Communication SkillsCollaboration

Tools & Technologies

GitHubLLMsAutomated TestsIntegration Tests

Industry Keywords

DecarbonisationGHG ProtocolISO 14064CBAMPACTValue Chain ModellingEnergy EfficiencyJet Engine ProductionEnergy InfrastructurePharmaceutical Manufacturing

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own the current measurement pipeline, including interpretation, extraction, and validation of customer-provided supply chain and manufacturing data
Verify emission modelling assumptions and outputs
Deliver end-to-end automation of the customer data pipeline from ingestion through extraction and validation
Transform a semi-manual process into a scalable, fully automated, auditable pipeline
Design, build, deploy, and maintain AI agents for data extraction, validation, and analysis
Develop process engineering-based tools such as mass and energy balance and energy benchmarking
Collaborate with cross-functional data science, modelling, and customer-facing teams
Shape new reporting features that help customers identify, track, and amplify decarbonisation wins across their value chains
Automate complex workflows and analyse datasets to uncover and resolve irregularities
Work across sectors including jet engine production, energy infrastructure, and pharmaceutical manufacturing

Requirements

What you’ll need

Bachelor’s or master’s degree in chemical engineering, mechanical engineering, or a related field
0–2 years professional experience in building agentic workflows; a strong, relevant fourth-year degree project is acceptable
Solid understanding of industrial processes, energy systems, and mass flow analysis
1+ year of experience in Python-based tools, including building pipelines and reusable tooling
Familiarity with CI/CD practices, GitHub, linting, automated tests, and integration tests as part of the PR workflow
Hands-on experience using LLMs beyond chat interfaces, such as calling model APIs, prompt engineering, or AI coding assistants
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Experience building, deploying, and evaluating AI agents is preferred
Familiarity with carbon accounting frameworks such as GHG Protocol, ISO 14064, CBAM, and PACT is preferred
Experience in industrial decarbonisation specification and modelling, preferably focused on mass and energy efficiency
Familiarity with systems thinking in value chain modelling
Experience in early-stage startups and ability to thrive in fast-moving environments

Benefits

Comp & perks

25 days annual leave
Year-end performance bonus
Meaningful equity stake
Company pension with NEST
Leading private health insurance with WPA
Cycle to work scheme
Hybrid work model fostering teamwork and individual flexibility
Remote working allowance of 2 weeks per year for personal travel, in addition to regular holiday policy
Work from Neutreeno HQ at the Cambridge Institute for Sustainability Leadership
Unlimited free coffee
Regular events with global sustainability leaders
Diverse, fast-growing team
Open-minded, non-hierarchical culture
Opportunity to work alongside world-class climate scientists and engineers
Interview adjustments, such as extra time on the exercise or a different interview format