Data & Analytics Engineer – Supply Chain & Process Excellence (m/f/d

Your educational background: You have successfully completed your studies in (business) informatics, mathematics, or business administration with an IT focus, or possess a comparable qualification with many years of practical experience in the data environment. Your strengths: You are a supply chain native with an understanding of concepts such as lead times, safety stock, bullwhip effect, and warehouse utilization. You act as a pragmatic self-starter and communicate technical hurdles and professional requirements clearly and effectively. Your profile: You bring several years of (senior) experience in data or analytics engineering, ideally with a focus on logistics and production data. You are an expert in SQL and BigQuery and experienced in pipeline orchestration with Dataform or dbt. Your AI understanding: You have a solid understanding of AI infrastructures and the ability to purposefully integrate modern tools such as APIs, vector search, or LLMs into data products. Your methodology: You are confident in agile project methodology, work in a structured manner when gathering requirements with technical stakeholders, and communicate fluently in German and English.