Senior Data Engineer with German / M
Core
Design and develop production-grade data pipelines and governed data products using Databricks, PySpark, and SQL, integrating data from SAP systems for client stakeholders.
Role type
Senior Data Engineer (Client-facing)
Builds
Data pipelines, reusable data products, governed data catalogs
Domain
Enterprise data engineering, SAP integration, Cloud data platforms (Azure/AWS)
Deliverable
production ML models | product features
Required skills
Databricks, PySpark, SQL, Unity Catalog, SAP integration, Azure/AWS data platforms, Git, CI/CD
Preferred skills
SAP S/4HANA, Terraform, Data observability, Industrial manufacturing domain
Technologies
Databricks, Unity Catalog, PySpark, SQL, SAP, Azure, AWS, Git, Terraform
Responsibilities
Design and develop data pipelines in Databricks; Build and maintain reusable data products; Implement data governance and cataloguing using Unity Catalog; Integrate and transform data originating from SAP systems; Develop solutions using PySpark and SQL; Support source-to-target mapping, data modelling, and data-quality controls; Work with business, data, and platform stakeholders to translate requirements into technical implementation; Contribute to Git-based development, testing, deployment, and CI/CD processes; Document implemented solutions and support knowledge transfer.