(Senior) Data Engineer (w/m/d)

Tasks Operation, maintenance and optimization of our DataHubs for providing master and reference data: performance optimization, maintenance, monitoring and ensuring data quality. ETL and data processing processes: development, optimization and maintenance of high-performance data pipelines. Data modeling: further development and maintenance of relational data models; application of concepts such as Star Schema or Snowflake. Setup of the data platform: participation in the setup of scalable data solutions on Microsoft Azure / Fabric. Automation & CI/CD: implementation of CI/CD processes for automating deployments and tests. Cross-team collaboration: close coordination with IT teams, data scientists, departments and other stakeholders for the joint development of data-driven solutions. Requirements You have several years of professional experience as a Data Engineer or in a comparable role. You can design ETL and data processing processes in a scalable manner and optimize queries efficiently. Several years of practical experience with SQL, PL/SQL, Python and relational database systems (e.g. Oracle, PostgreSQL). You have experience in implementing and maintaining CI/CD pipelines for automating deployments and tests and are familiar with tools like GitHub. You have in-depth knowledge of data modeling methods such as Star Schema, Snowflake and Data Vault. You want to generate clear business value and are not afraid to provide advisory support. You are team-oriented and enjoy passing on your expertise to your colleagues. Experience with Azure and Microsoft Fabric is a plus. Languages German C1