Analyst data Jobs in Bern

Connect data at scale and with precision. In this role, you ensure that new sources are integrated into our data raw-layer within minutes - fully automated, versioned and continuously monitored to guarantee a secure and reliable data flow.

Your role

• Own end-to-end data sourcing and enable fully automated onboarding of new sources into the Raw Layer within minutes
• Design and maintain Git-driven, template-based ingestion frameworks using YAML and Jinja for JDBC, API and file-based integrations
• Orchestrate CI/CD pipelines in Azure DevOps, including Python-based deployments, automated testing and promotion workflows
• Implement and operate automated schema drift detection, comparing source and Data Vault structures, triggering pull requests or alerts, and maintaining ≥90% structural coverage
• Continuously evolve and manage the template library, ensuring stable, scalable loading processes and transparent performance metrics on the platform dashboard
• Embed data quality checks directly into pipelines and promote engineering excellence by mentoring junior engineers on Git standards and best practice

What you bring to the role

• Master's degree in computer science and at least three years of experience in data engineering or DevOps, including at least one year working with DLT, DBT and Snowflake
• You bring strong hands-on experience in DLT and DBT development as well as solid knowledge of Data Vault loading patterns
• Advanced SQL and Python skills enable you to build, optimise and maintain robust ingestion frameworks
• You are familiar with GitOps in Azure DevOps and understand schema drift frameworks and CDC or hash diff logic
• Experience with Fivetran HVR and ADLS Gen2 allows you to manage and monitor data replication jobs effectively

We are not interested in enquiries from recruitment agencies.