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Inetum is seeking a Senior Data Engineer to design and develop data pipelines in Databricks, using PySpark and SQL, with a focus on producing governed data products. The role is client-facing and requires fluent German, plus strong English and Polish.
The position supports remote work for Poland-based candidates and offers guidance from senior teammates, opportunities to contribute to CI/CD processes, and collaboration across business, data, and platform teams.
We are seeking a skilled and experienced Senior Data Engineer to join our team. The candidate will have a strong background in designing and developing data pipelines using Databricks, as well as extensive experience with PySpark and SQL. This role requires a professional who can work independently in a senior, client-facing capacity and is fluent in German to communicate directly with client stakeholders.
Strong commercial experience with Databricks. Advanced PySpark and SQL skills. Experience designing and implementing production-grade data pipelines. Experience building governed data products. Practical knowledge of Unity Catalog and data-governance principles. Experience integrating SAP or other complex enterprise source systems. Experience working with Azure or AWS data-platform environments. Git and CI/CD experience. Ability to work independently in a senior, client-facing role. Professional German enabling direct communication with client stakeholders. Strong professional English and Polish. Будет плюсом: Knowledge of SAP data models or SAP S/4HANA; Experience with Terraform or other infrastructure-as-code tools; Data-quality, lineage, and observability experience; Experience working in industrial manufacturing or machinery; Previous experience delivering data products in a federated or domain-oriented model