Databricks Data Engineer - Data Platforms & Customer Projects

Tasks You develop and optimize data platforms and ELT pipelines based on the Databricks Lakehouse platform You work with SQL, Python, PySpark, Delta Lake and Databricks SQL You implement data models, for example according to Data Vault, 3NF or dimensional modeling approaches You integrate different data sources and modernize existing data systems You automate development and deployment processes with Git and CI/CD You analyze functional and technical requirements and translate them into robust, scalable data solutions You advise our customers on the further development of their data platforms and on technical architecture decisions You present solution approaches and results and coordinate these with specialist and IT teams You accompany your solutions from conception through development to productive implementation You work closely with experienced Data Engineers, Consultants and Databricks specialists Requirements Experience in data engineering or data consulting projects At least one year of practical experience with Databricks as well as knowledge of workspaces, jobs and workflows Good knowledge of SQL and Python as well as practical experience with Apache Spark or PySpark Experience with Delta Lake, Databricks SQL, Git and CI/CD Understanding of data modeling and the development of data pipelines Ability to implement technical work packages independently and communicate solutions understandably Enjoyment of advising customers and working with specialist and IT teams Very good German and good English skills Interest in customer projects for companies from various industries in Switzerland Languages Very good German and good English skills