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Position Details
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
- Contribute to international projects and data squads
- Work in an agile setup (Scrum) with high responsibility and stakeholder interaction
Qualifications
- Master / Bachelor Data Engineering, applied informatics, data science or similar disciplines
- Nice to have: Logistics or supply chain management background
- Understanding of Agile Methodology like Scrum
- Experience with Databricks, DBT, Airflow
- Experience with MS Fabric, Python, PySpark
- Jira, Confluence, CoPilot, MS Office
- Problem Solving and Analytic...