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. 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 Matured in Agile Methodology like Scrum Experience with Senior Lvl Databricks, DBT, Airflow Experience withMS Fabric, MS SQL Server, SSIS Nice to have: SAP DataSphere Advanced Python, PySpark Jira, Confluence, CoPilot, MS Office Problem Solving and Analytical Skills, critical thinking Fluent English, high level communication skills Work #LikeABosch means: ⚖️ Flexible work conditions 🔀 Hybrid work system 🌐 Exchange with colleagues around the world 🧑⚕️ Health insurance and medical office on site 📚 Training opportunities 📈 Opportunities for career progression and continuous professional development 💲 Access to great discounts in partnerships and Bosch products 🏋️ Sports and health related activities 🚉 Great access to public transports 🅿️ Free parking lot 🍽️ Canteen Success stories don´t just happen. They are made... Make it happen! We are looking forward to your application!
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