We are looking for a motivated Senior Cloud Data Engineer to work on modern data analytics platforms, implement high-quality data pipelines, and build cloud data infrastructures. You will work in several teams and be responsible for design, code, and configuration of components that manage data ingestion, real-time streaming, batch processing, data extraction, and transformation across multiple data sources and applications.
Requirements
- University degree ETH/UNI/FH with several years of programming experience in Python, Java, or Scala
- Min. 5 years of implementation experience with analytics technologies such as SQL, DBT, Spark, and Kafka
- Min. 3 years of experience in providing and automating cloud solutions in Azure, AWS, Databricks, Kubernetes with Terraform or similar tools
- Know-how in SQL and NoSQL databases, e.g. PostgreSQL, Snowflake, Databricks or MS SQL Server Data Warehouse and Data Mesh knowledge
- Experience in data modeling and data governance and with the entire software development lifecycle: coding standards, code reviews, source code management, continuous integration/deployment, testing, and operation
- High learning ability and flexibility to work in customer-specific platforms
- Travel readiness for customer meetings and occasional on-site assignments in German-speaking Switzerland, depending on project requirements
- Very good German and English skills in word and writing
Benefits
- Chance to expand your expertise through various projects and unique products, the latest technologies, and customers from various industries
- Attractive perspectives through continuous training, coaching, and an internal career path
- Good work-life balance (flexible working hours, home office), modern and flexible working place in a multicultural environment
- Top benefits such as holidays bought up to 13 days, contribution to private mobile phone or business phone, half-tax, business travel in 1st class, flexible pension fund models, takeover of KTG and NBU (privately, worldwide), and many more