Requirements 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 Ability to work effectively with both engineering teams and non-technical business stakeholders 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 What the job involves 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-power
