Senior Data Engineer PySpark

• Design and implement production-ready data pipelines using PySpark on Databricks
• Work from specifications provided by Business Analysts
• Collaborate closely with Data Engineers and Solution Architects
• Ensure solutions meet both functional and non-functional requirements
• Developing applications using an IDE such as VS Code or PyCharm

We are seeking for an seasoned Senior Data Engineer to join an exciting project at one of global leading re/insurance company in Zurich on a 12-month contract.

• Start: April/May 2026
• Duration: 12 monthly, very likely to extend (intial project goes until 2028)
• Location: Zurich
• Hybrid: 3 days/week in the Office

Your team:

Team of 12 people, including the Product Owner, 4 Business analysts and 7 engineers, most of them are in Zurich, others in Italy.

Top 3 must-have skills

1. PySpark (Python alone is not enough - Spark is essential)
2. Databricks & Delta Lake
3. Azure fundamentals

• Min. 5 years of experience as Data Engineer developing complex software systems
• Bachelor's or Master's degree in Computer Science (or related field)
• Strong software engineering mindset (design patterns, best practices, clean code)
• Solid background in data engineering and analytical frameworks
• Strong core Python software engineering experience
• 3+ years of hands-on experience with modern data platforms
• Experience of working with delta lakes and optimizing Spark workloads running on it.
• Have a good understanding and significant experience with projects using relational data models and SQL.