Data Engineer working on the design and implementation of innovative data warehousing solutions for sustainable mobility. Collaborating with teams to ensure high data quality and robust pipeline development.
Responsibilities
Design and migration of an innovative data warehouse using tools such as Coalesce.io, Databricks and IDMC
Definition and development of robust ETL/ELT pipelines
Build and operation of CI/CD pipelines to automate deployments and tests
Introduction of new technologies, services and best practices in data integration and data management
Implementation and monitoring of mechanisms to ensure high data quality
Cross-disciplinary collaboration with various departments (BI, IT Security, Operations)
Requirements
University degree in Computer Science, Business Informatics, Data Science or a comparable qualification
Several years of professional experience as a Data Engineer, ideally with Azure Data Factory, Spark/Databricks (PySpark/SQL), Delta Lake/Lakehouse, ETL/ELT, analytics modeling (e.g., star schema, Power BI) and orchestration
Strong knowledge of data modeling and development of data-driven products
Experience with DevOps practices and CI/CD tools (e.g., Azure DevOps, GitHub Actions, GitLab CI)
Confident in building ETL/ELT pipelines using SQL and Python
Structured, independent and solution-oriented working style, with excellent communication skills for technical and non-technical stakeholders
Good German and English language skills, both written and spoken.
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