Das ist der Job
Contribute to thought leadership at the intersection of Data Engineering, Knowledge Graphs, and Generative AI.
Darum lohnt es sich
Map source data into ontologies and SHACL schemas, develop SPARQL‑based transformations, and operate triple stores in production alongside Knowledge and Data engineering teams and stakeholders.
What you’ll do
At SAP, we’re integrating state‑of‑the‑art AI technology with our industry‑specific data and deep process knowledge to innovate across SAP products & services.
This role focuses on building the data foundation for SAP’s Knowledge Graphs, addressing challenges of structured and unstructured business data, and enabling generative AI solutions. The Role Unique opportunity to build the data foundation for SAP’s Knowledge Graphs – the source of explicit knowledge across multiple SAP domains.
Design and build robust data pipelines that ingest, transform, and load structured and unstructured business data (including SAP data) into RDF Knowledge Graphs at scale.
Collaborate closely with domain specialists and data owners to understand source systems (SAP and non‑SAP) and translate their requirements into reliable Knowledge Graph data flows and provisioning.
Make critical design decisions on the data engineering stack – triple stores, ETL/ELT tooling, orchestration, and integration with downstream Generative AI applications. Present, discuss, and explain how high‑quality K
