Position Overview
Job Description
- Design, build, and operate end‑to‑end data pipelines for large‑scale logistics data assets;
- Develop robust data models and transformations using modern data stack technologies like Databricks, DBT and MS Fabric;
- Implement batch and near‑real‑time processing for operational and analytical use cases;
- Ensure data quality, performance, and reliability;
- Act as squad lead for complex data engineering topics;
- Contribute to architecture decisions, best practices, and standards;
- Coach junior engineers and actively shape the data engineering community;
- Work in an agile setup (Scrum) with high responsibility and stakeholder interaction.
Qualifications
- Master / Bachelor Data Engineering, applied informatics, data science or similar disciplines
- 5 year of working experience in a relevant area
- Nice to have: Logistics or supply chain management background<...