Description
The data and analytics team connects enterprise SAP data with modern cloud data architecture and creates reusable Data Products that support analytical and operational excellence across the organization.
Responsibilities
•Develop and maintain scalable, reliable batch and streaming data pipelines under the guidance of senior engineers
•Integrate and transform data from enterprise sources, including SAP ERP/S4HANA and external applications, using modern tooling
•Contribute to reusable, domain-oriented Data Products for analytical reporting, machine learning, and operational workflows
•Process datasets in a modern cloud ecosystem using SAP Business Data Cloud, SAP Datasphere, and Apache Spark
•Support data governance by following compliance, data quality, and security practices; assist with metadata management and data lineage
•Collaborate with data architects, analysts, and engineers to apply data modeling standards, participate in CI/CD data workflows, and follow data engineering best practices
Requirements
•3+ years of professional experience in data engineering, data warehousing, or data integration
•Practical experience with SAP Datasphere and/or SAP Business Data Cloud
•Working knowledge of Apache Spark (PySpark/Scala) for distributed data processing and transformation
•Good understanding of data modeling concepts, including dimensional modeling, and awareness of Data Mesh / Data Fabric approaches
•Solid SQL skills and proficiency in Python or Java for data pipeline development
•English level B1+
•Strong problem-solving skills, willingness to learn, and ability to collaborate in an agile, cross-functional global environment
Nice to have
•Exposure to Collibra for data governance and cataloging
•Experience with Document Management Systems (DMS) integration
•Familiarity with AWS, Azure, or GCP
Conditions
•Location-specific conditions and benefits
