Job description

Design and build scalable data ingestion and integration pipelines across on-premise and cloud environments
Develop reusable ETL/ELT, CDC and orchestration patterns for reliable source-to-platform data movement
Modernize existing data integration solutions towards Cembra’s target data-platform architecture
Engineer production-grade solutions with automated testing, monitoring, error handling, performance optimization, CI/CD and version-controlled development
Take ownership of existing integration assets and knowledge, collaborating with Data Solution Engineering, Platform Engineering, Data Architecture and other Technology teams to establish sustainable internal capabilities

Job requirements

Bachelor’s or Master’s degree in Computer Science, Informatics or a comparable field
5+ years of hands-on experience in data engineering or data integration in production environments, with strong SQL and good Python skills
Strong experience with ETL/ELT, data ingestion, orchestration and source-to-target mapping
Hands-on experience with Git, CI/CD, automated testing and production-grade engineering practices, including Microsoft Azure and Microsoft Fabric
Experience modernizing established integration environments, such as Informatica or comparable technologies, towards cloud-native platforms
Experience in financial services or another regulated environment is a plus
Strong communication and presentation skills in English (for collaboration with teams and management in Switzerland)

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