Senior Data Engineer (f/m/div.)

Qualifications

• 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

Company Description

The Bosch group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people's lives and to work towards a more sustainable future.

Bosch Service Solutions in Lisbon develops and offers Customer Experience, Mobility, and Monitoring solutions for its clients, and plays a prominent role in providing Engineering and Software Development services in the technology market. Every day, our teams find fast, efficient, and innovative solutions for thousands of people.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

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;
• 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.