Data Engineer

For a major transformation project in the insurance industry, we are looking for an experienced Data Engineer.

Start date: 1st of March

In this role, you will actively contribute to the design and implementation of modern data solutions, take real ownership of critical components, and operate confidently within a complex, agile, and multidisciplinary project environment.

Responsibilities:

• You take ownership of the implementation of production-ready data pipelines using PySpark on Databricks, based on specifications provided by business analysts.
• You collaborate closely with other data engineers and solution architects to meet both functional and non-functional requirements.
• You ensure high standards of quality, performance, security, and maintainability across data solutions.
• You apply clean code principles consistently within large and complex codebases.
• You contribute proactively within agile teams and support continuous improvement of data engineering practices.
• You communicate clearly and effectively to align technical implementation with business needs.

Requirements:

• You hold a bachelor’s or master’s degree in computer science or a related field.
• You have at least 5 years of experience developing complex software systems as a software engineer.
• You bring strong software engineering skills, including the application of design patterns and engineering best practices.
• You have solid experience in data engineering using high-level programming languages such as Python, Java, or C#, with a strong focus on Python.
• You have at least 3 years of hands-on experience with Apache Spark (PySpark), working with IDEs such as VS Code or PyCharm.
• You have experience working with Delta Lake and optimizing Spark workloads.
• You have a strong understanding of relational data models and SQL.
• You are highly proficient in English, both written and spoken.
• You will join a team of 10–12 professionals, primarily based in Switzerland and Italy.
• 3 days per week on site, 2 days per week remote work.