Overview You bring extensive consulting experience, are familiar with the SAP and SAP BW landscape, and will passionately support our transition to the Databricks ecosystem You define, model, and implement end-to-end data pipelines You translate business use cases into scalable data models and data products You play a leading role in the initial setup and the ongoing expansion of the company-wide Databricks platform, the successor system to our SAP BW on HANA landscape You take responsibility for the technical and methodological implementation of demanding BI and analytics projects in close collaboration with business units, IT teams, and stakeholders Managing (sub-)project teams is part of your responsibilities or will become part of your role in the future Requirements Completed university degree in (business) computer science or a comparable qualification Several years of professional experience as a Data Engineer (senior level) with solid knowledge of data warehouse and lakehouse architectures Strong knowledge of the BW backend for BW 7.50 on HANA; familiarity with SAP ECC/S4 data structures is an advantage In-depth experience designing and operating production-ready Databricks architectures from ingest to gold, supported by modern AI technology across the ETL process Strong understanding of data modeling (e.g., star schema, Data Vault) and pronounced architectural thinking Independent, structured, and solution-oriented working style Strong analytical thinking, high initiative, and a strong team orientation Very good German (B2) and English (C1) skills, both written and spoken Hard Skills data engineering data modeling ETL process data warehouse architecture lakehouse architecture SAP BW SAP ECC SAP S4 Databricks AI technology Soft Skills analytical thinking initiative team orientation structured working style solution-oriented mindset collaboration leadership communication Certifications & Qualifications university degree in computer science #J-18808-Ljbffr
