Senior Data Engineer Data Platform

For the further development of a modern data platform on Databricks, an Agile Release Train in the Data & Analytics area at a health insurance company is looking for experienced Data Engineers. The focus is on scalable data pipelines and data products, the implementation of Data Vault models, and the stable, economical operation of data solutions in the Azure environment. You will work as part of the Data team and advance the platform technically with your experience in Databricks, dbt Core, and Data Vault.

Tasks

• Development and operation of scalable data pipelines and data products on Databricks

• Implementation of data models according to Data Vault 2.0, including historized and dimensional models

• Development of transformations, data quality tests, and documentation with dbt Core

• Further development of the data platform with Python, SQL, and Apache Spark / PySpark

• Setup and maintenance of CI/CD processes and automated tests

• Ensuring stable and economical operation of data solutions in the Azure environment

• Collaboration in an agile team and active participation in the further development of the platform

• At least 5 years of professional experience in Data Engineering, ideally several years in a corporate environment

• In-depth knowledge of Databricks, SQL, Python, and Apache Spark / PySpark, as well as experience in developing and operating scalable data pipelines

• In-depth experience with dbt Core on Databricks and in data modeling according to Data Vault 2.0, including historized and dimensional data models, data quality tests, and documentation

• Experience with Git, CI/CD, and automated tests

• Proficient working in agile teams, experience with SAFe is an advantage

• Domain experience in the health insurance sector is an advantage

• High degree of personal responsibility as well as an independent, structured, and solution-oriented approach to work

• Strong willingness to learn and the ability to independently analyze complex issues and quickly apply new technologies

• Strong communication skills, teamwork, and the necessary composure to defend sound technical decisions even under time pressure

General Framework Conditions

• Start: Immediately

• Duration: until December 31, 2027 (option to extend)

• Workload: 80–100%

• Work location: Lucerne

• Remote: Max. 3 days per week (presence on Tuesday mandatory, desired on Thursday)

• Language: German

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