Senior Data Engineer (Azure, PySpark)

Stellennummer: 2024022701


  • Build a Data Platform for Data Analytics and AI in the financial industry based on PySpark and MS Azure
  • Establish the data platform concept
  • Data requirements engineering and modelling
  • Data management and transformation
  • Design, develop, and maintain data pipelines and backend services for real-time decisioning, reporting, data collecting, and related functions
  • Produce high-quality, well-tested, and secure code
  • Develop and maintain software designed to improve data governance and security
  • Develop processes designed to ensure Data Security and Data Quality


  • Several years of data engineering experience on-premise and cloud (pipeline design, ETL, data warehousing, SQL etc.)
  • Good knowledge and experience with PySpark
  • Good knowledge and experience with MS Azure and its data services (Databricks, Data Factory etc.)
  • Broad experience with various data platform stores (DWH, RDBMS, in-memory cach-es etc.), NoSQL databases (Azure Storage, CosmosDB, MongoDB etc.) and various data types (structured to unstructured)
  • Fluent in English

Nice to have

  • Experience in developing continuous integration and automated deployments on cloud platforms
  • Experience in software development (Python, C#, Scala, JavaScript, or similar)
  • Experience with MS PowerBI data models
  • Experience in the banking industry
  • German language skills


  • Good communication skills
  • Team player and service-oriented personality
  • Willing to learn new technologies
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