Do you want to help shape the future of Swiss payments with data? Join a team that builds scalable data solutions and uses modern analytics and AI in a fast-moving environment. Work closely with business representatives, engineers, and analysts to unlock the value of data and deliver real solutions.

• Design, build, and improve scalable and reliable Python-based ETL pipelines in a cloud environment (Databricks, Azure Data Factory)
• Create strong data ingestion pipelines from databases and files (such as CSV and Parquet), including schema mapping, data quality checks, and error handling
• Deliver clean, checked, and well-structured datasets to other applications like invoicing and operational systems
• Develop and maintain secure Power BI dashboards and help integrate them into an external-facing portal
• Keep learning and use modern data engineering concepts

• 4 or more years of experience in Data, Machine Learning, Software Engineering, or similar roles
• Bachelor’s or master’s degree in Computer Science, a quantitative field, or an equal qualification
• Strong skills in production-ready Python and SQL, with good engineering practices (testing, code reviews, documentation)
• Proven experience building and running data services, APIs, and data stores in production environments
• Hands-on experience with Azure services (Databricks, Azure Data Factory, Power BI) is a plus
• Fluent in German and good English skills

• Flexible work models for a balanced and productive environment, including up to 40% work from home
• Support for personal development with continuous learning and feedback
• Work in agile teams using methods like scrum and design thinking