(Senior) Data Engineer (f/m/d): SAP Data on RDF Knowledge Graphs

SAP
Germany
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 2+ yearsEducation: mastersSkills: ["Communication","Collaboration","Stakeholder advising","Problem-solving"]

Build the data foundation for SAP’s RDF Knowledge Graphs that serve as explicit knowledge across SAP domains. You will design and operate large-scale batch and streaming data pipelines ingesting structured and unstructured business data, map sources into ontologies and SHACL schemas, and implement SPARQL-based transformations. Partner with domain experts to translate requirements into reliable knowledge graph data flows that power downstream generative AI use cases.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
SAP
SAP
2 hours ago

(Senior) Data Engineer (f/m/d): SAP Data on RDF Knowledge Graphs

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build the data foundation for SAP’s RDF Knowledge Graphs that serve as explicit knowledge across SAP domains. You will design and operate large-scale batch and streaming data pipelines ingesting structured and unstructured business data, map sources into ontologies and SHACL schemas, and implement SPARQL-based transformations. Partner with domain experts to translate requirements into reliable knowledge graph data flows that power downstream generative AI use cases.
Location: Germany
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build and operate robust data pipelines that ingest, transform, and load structured and unstructured business data into RDF Knowledge Graphs at scale.
  • •Map source data into ontologies and SHACL schemas, develop SPARQL-based transformations, and operate triple stores in production.
  • •Collaborate with domain specialists and data owners to translate source system requirements (SAP and non-SAP) into reliable knowledge graph data flows.
  • •Make critical design decisions across the data engineering stack, including triple stores, ETL/ELT tooling, orchestration, and integration with generative AI applications.
  • •Drive thought leadership by explaining how high-quality knowledge graph data benefits business use cases and proposing new applications to stakeholders.
Travel: Low travel

Key Requirements

  • •PhD or Master’s degree in computer science, artificial intelligence, physics, mathematics, or a related field.
  • •2+ years of data engineering experience, ideally with Knowledge Graphs in a business context.
  • •Experience designing and operating large-scale batch and streaming data pipelines using modern tooling.
  • •Strong SAP data knowledge, including business objects and data models down to the table level.
  • •Hands-on proficiency with RDF Knowledge Graph technologies (RDF/RDFS/OWL/SHACL/SPARQL) and experience operating triple stores.
Experience:2+ yearsKnowledge graphsData engineeringData pipelinesRDFBusiness AI
Education:Master's
Skills:CommunicationCollaborationStakeholder advisingProblem-solving
Tech Stack:PythonSQLRDFRDFSOWLSHACLSPARQLRDF Knowledge GraphsTriple storesETLELTOrchestrationAWSGCPAzureDatabricksGraphDBStardogVirtuosoApache Jena

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor