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(Senior) Data Engineer


  • Help (inter)national financial institutions to integrate their systems into the Goldie-Platform (cloud-based)

  • Develop, test and document data- & analytics-infrastructure (e.g. data pipelines,             integrations, warehouses, lakes and cubes)

  • Develop scalable ETL-& ELT-Procedures

  • Maintain a steady flow of information throughout the entire Goldie-Platform

  • Translate business needs into technical specifications

  • Ensure high level of data-quality

  • Implement and execute information security standards (e.g. aspects of ISO 2700


  • Successful university degree in (Business) Informatics, Physics, Applied (Business) Mathematics, (Business) Engineering, or a comparable course of study

  • Excellent knowledge in terms of the architecture, modeling, and backend engineering of reliable and scalable data platforms

  • Excellent knowledge in the areas of SQL and databases

  • Relevant work experience or qualifications with respect to AWS-Cloud-Solutions (e.g. Developer, DevOps-Engineer, Solutions Architect, etc.)

  • Good knowledge of at least one of the following programming languages: Python, Java, Scala, R

  • Excellent German and good English language skills, coupled with strong communication abilities at all management levels

  • Good experience in real-time processing of ingest/ETL systems based on technologies such as Kafka, Flink, Spark, AWS (S3, Lambda), or other similar technologies

Franziska Kuhl
Apply: //  (Senior) Data Engineer

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