Data Engineer

The SAP Enterprise Knowledge Graph (EKG) integrates SAP's reference data — business data such as products, processes, and business objects, as well as system data such as ERP transaction codes — into a unified semantic layer. To create and maintain the EKG, we develop an internal platform that exposes the knowledge graph via data access APIs and AI-powered services, and powers a neuro-symbolic AI application that enables intelligent search, reasoning, and knowledge exploration across SAP's enterprise data.

As a consultant focused on data onboarding and platform orchestration in the Cross Solution Adoption & Content team, you will join a structured 6–9 month onboarding phase to deeply learn about the EKG, AI application, and the platform — and then transition into building a dedicated consulting practice around EKG data onboarding and service provisioning:

- Immerse yourself in the platform during a structured onboarding period: learn the data architecture, ontology standards, ingestion patterns, and platform capabilities hands-on alongside the core engineering team.
- You will onboard new datasets that are relevant for the Customer Value Group to grow the EKG into an actionable “Engagement Graph” for CVG.
- Own the end-to-end onboarding of new data sources into the EKG — from requirements gathering and data modeling to pipeline implementation, validation, and production rollout.
- Design and build scalable, automated data ingestion and transformation pipelines in Python, running on Kubernetes/Kyma, that reliably integrate diverse SAP data sources into the knowledge graph.
- Orchestrate complex, multi-step data workflows across the platform — coordinating dependencies, monitoring pipeline health, and ensuring data quality and consistency at scale.
- Act as a technical consultant to internal SAP teams seeking to contribute their data to the EKG: guide stakeholders through onboarding processes, translate business data requirements into semantic models, and build repeatable patterns that others can follow.
- Develop reusable frameworks, tooling, and playbooks that lower the barrier for future data onboarding — laying the foundation for a scalable, self-service onboarding capability.
- Build up a consulting business unit around EKG data onboarding and customer specific knowledge graphs: define service models, engagement patterns, delivery standards, and grow the practice.