Forward Deployed Engineering - Data & AI Engineer Consultant | German Speaking

Carbmee; München; Hybrid; EUR 85.000 - 120.000; Vollzeit

Benefits dieser Stelle

Stock options

Urban Sports Club

1:1 coaching with Nilohealth

Hybrid work in Berlin or Munich

Zusammenfassung

carbmee is seeking a Forward Deployed Engineer to embed directly inside large industrial enterprises and turn fragmented supply chain data into carbon intelligence. You will design end-to-end data and AI pipelines, fine-tune models, and own the technical journey from prototype to production deployment.

You will work across Python/SQL and C-level conversations, interfacing with ERP systems (SAP) and data teams to deliver scalable solutions that improve emissions reporting, data quality, and

Qualifikationen

• Strong data engineering foundation with Python and SQL.
• Experience building production ML/AI solutions or LLM workflows.
• Comfort working with messy enterprise data and APIs.
• Familiarity with ERP systems, especially SAP, is a strong plus.
• Fluent in English and German with fast-paced ownership mindset.

Aufgaben

• Own end-to-end data and AI workstreams in enterprise deployments and production pipelines.
• Collaborate with data, IT, and sustainability teams to map data environments and emissions needs.
• Develop AI-powered pipelines for supplier emissions data and carbon footprint calculations.
• Fine-tune models and LLM-based workflows to improve coverage and accuracy.
• Integrate carbmee EIS with SAP and other ERP/procurement systems via APIs and scripts.
• Translate model outputs into executive-ready insights for decarbonization decisions.

Kenntnisse

Python

SQL

Cloud platforms

ETL pipelines

Data modelling

Production ML/AI

Ausbildung

Degree in Computer Science or related field

Tools

SAP ERP

AWS

GCP

Azure

Jobbeschreibung

Intro

At carbmee, data is not a byproduct: it is the product. As a Forward Deployed Engineer on our Data & AI track, you are the technical vanguard of our mission, deployed directly inside the world's largest industrial enterprises to turn fragmented supply chain data into product-level carbon intelligence. You'll design AI-powered pipelines on carbmee EIS™, fine-tune models against messy real-world enterprise data, and own the technical journey from first prototype to production-grade deployment, and then stand in front of the customer and explain why it matters.
You'll pivot daily between hands-on Python/SQL work and C-level conversations, with direct visibility into how your models change what gets built, sourced, and sold.

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™.
• 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.
• 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.
• Feed data and AI learnings back to carbmee's product engineering team to continuously improve the intelligence capabilities of the EIS™ platform.

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.
• Build lasting data credibility with customer technical teams, ensuring carbmee EIS™ becomes trusted infrastructure - not just another analytics tool.
• 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.
• A degree in Computer Science, Data Engineering, Data Science, or a comparable quantitative field - from a top technical university with an outstanding academic record.
• 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.
• A clear pull toward fast-paced, high-ownership environments over traditional corporate tracks.
• Ability to work effectively with both engineering teams and non-technical business stakeholders.
• Fluency in English and German.
• Passion for sustainability - motivated by the idea that the best data work you do will help decarbonize global industry.

Based in 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. 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.
• Flexibility & Work-Life Balance: a flexible hybrid 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