4 days ago
Garching bei München, GermanyStaff+
Responsibilities
- Design, build, maintain, monitor, and automate production data pipelines for deployed AI agents and applications, including ingestion, transformation, enrichment, and delivery.
- Establish data governance practices covering privacy, data boundaries, lineage, audit trails, and compliance across customer engagements.
- Build and maintain knowledge graph infrastructure supporting internal agent context and retrieval.
- Develop automated data validation and quality-monitoring frameworks to detect degradation and drift before it affects AI solutions or customer SLAs.
- Manage data products through versioning, documentation, ownership, reuse, and lifecycle practices.
- Define data engineering standards, mentor engineers, and shape data strategy for the Intelligent Operations capability.
- Collaborate globally with application engineering, platform engineering, delivery squads, data science teams, external partners, and SAP’s data and analytics ecosystem.
Requirements
- Experience building and operating production data infrastructure and automated data pipelines at scale.
- Deep expertise in data pipeline development, data governance, and data infrastructure management in cloud-native environments.
- Experience with data validation, traceability, data privacy, regulated-industry requirements, and customer data handling.
- Knowledge graph integration, master data management, and enterprise data environments are advantageous.
- Ability to define data standards and governance practices across organizational boundaries.
- Experience making data infrastructure production-grade and scalable without manual intervention.
- Technical leadership experience defining standards, mentoring engineers, and shaping data strategy.
Benefits
- Learning and development opportunities to build on existing skills.
- Flexible working models, health and well-being support, and an inclusive workplace.
- Global collaboration across SAP teams, hubs, delivery partners, and customer engagements.
Categories
Data Engineering
About SAP
SAP builds enterprise application software and cloud services for finance, procurement, supply chain, human resources, and analytics, sold through subscriptions, licenses, and support. Its portfolio includes SAP S/4HANA, SAP Business Technology Platform, SAP Ariba, and SAP SuccessFactors. Founded in 1972 and headquartered in Walldorf, Germany, SAP is a public company listed on the NYSE and Frankfurt (ETR) and serves enterprises and public-sector organizations worldwide.