Data & AI Consultant (All Levels)| Carbmee

Das ist der Job

Intro At carbmee, data is not a byproduct - it is the product.

Darum lohnt es sich

Engage directly with customer data, IT, and sustainability teams to understand their data environments, ERP structures, and emissions reporting needs, and design scalable integration and modelling solutions.

Feed data and AI learnings back to carbmee's product engineering team to continuously improve the intelligence capabilities of the EIS™ platform. Build lasting data credibility with customer technical teams, ensuring carbmee EIS™ becomes trusted infrastructure - not just another analytics tool.

Ability to work effectively with both engineering teams and non‑technical business stakeholders.

Based in Berlin or Munich Benefits Unique & Powerful Mission -join a fast‑growing and ambitious tech company that is shaping the future of carbon management and fighting climate change Compensation & Rewards -a steep learning curve and ownership from day one.

Flexibility & Work‑Life Balance -a flexible hybrid or fully remote working culture with a lovely accessible office in Berlin‑Mitte or the center of Munich Team Culture -Our transparency, Humility, and Accountability values create a unique and supportive working environment. Be part of a multinational, motivated team that thinks work should be fun!

Connection & Networking -Summer Offsite, Winter Party, and regular team eventsWe give you plenty of opportunities to connect with people, strengthen cross‑functional relationships, and boost collaboration Trust & Transparency -monthly All‑Hands Meetings, weekly update newsletters, and Founders Q&As.

Our Environmental Intelligence System EIS™ sits at the center of how the world's most complex industrial enterprises measure and reduce carbon emissions, and AI is how we help them do it faster and more accurately than ever before.

As a Data & AI Consultant, you will be deployed directly inside customer environments to tackle their most difficult data challenges: fragmented supply chain records, poor supplier data coverage, mismatched ERP structures, and unreliable emissions factors.

You will design and implement AI-powered pipelines on carbmee EIS™ that transform raw operational data into actionable environmental intelligence - and you will own the quality of what you deliver.

Your tasks Own end-to-end data and AI workstreams within enterprise customer deployments - from data discovery and architecture design through to live, production-grade pipelines on carbmee EIS™.

Build and deploy AI-powered pipelines for supplier emissions data collection, product carbon footprint calculation, spend-based estimation, and Scope 3 data quality improvement. Develop and fine‑tune machine learning models and LLM‑based workflows to enhance emissions data coverage, accuracy, and inference at scale.

Integrate carbmee EIS™ with ERP systems (especially SAP), procurement platforms, and third‑party data sources via APIs, data pipelines, and custom scripts (Python, SQL). Transform and prepare complex, messy enterprise datasets for integration, ensuring consistency and alignment with carbmee's data model.

Translate complex model outputs and data analyses into clear, executive‑ready insights that drive decarbonization decisions. Customer Value As a Data & AI Consultant, your work directly determines how accurately and quickly customers can see, understand, and act on their emissions data.

You will: Accelerate customers' time‑to‑insight by turning fragmented, siloed enterprise data into a clean, reliable foundation for carbon accounting. Expand emissions data coverage by using AI and machine learning to fill supplier data gaps, improve estimation quality, and surface signals that manual processes miss entirely.

Enable data‑driven decarbonization by connecting the right datasets - procurement, logistics, production - into the actionable intelligence customers need to make real reduction decisions. You are the person who makes carbmee's AI actually work in the real world.

Your profile Strong data engineering foundation - Python, SQL, cloud platforms (AWS, GCP, or Azure), ETL pipelines, and data modelling. Experience with machine learning, LLMs, or applied AI in a production context - building things that ship, not just things that work in a notebook.

Comfort working with messy, real‑world enterprise data — and the tenacity to clean, model, and make it usable. We hire across all levels - from analytically strong graduates ready to learn fast, to senior data scientists and ML engineers with deep production experience.

Understanding of ERP systems (especially SAP) and how enterprise data structures connect to business processes is a strong plus. Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field - or equivalent practical experience. Fluency in English; German is a plus.

Passion for sustainability - motivated by the idea that the best data work you do will help decarbonize global industry. We offer an attractive compensation package, including virtual stock options Health & Wellbeing -Urban Sports Club subscription to stay healthy & fit.1:1 coaching sessions with Nilohealth for your mental well‑being.

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