Senior data engineer

Your tasks

• 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.

Your profile

• 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 with MS 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

Contact & additional information

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