Job at a glance
- Stack
- Python
- Location
- Lisbon
- Work setup
- Remote
- Contract
- Hybrid
- Posted
- This month
Description
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