About this role
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 disciplines5 year of working experience in a relevant areaNice to have: Logistics or supply chain management backgroundMatured in Agile Methodology like ScrumExperience with Senior Lvl Databricks, DBT, AirflowExperience withMS Fabric, MS SQL Server, SSISNice to have: SAP DataSphereAdvanced Python, PySparkJira, Confluence, CoPilot, MS OfficeProblem Solving and Analytical Skills, critical thinkingFluent 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!