Knowledge Graph Engineer (F/H)
Core
Develop and maintain knowledge graph systems and pipelines to transform data into actionable knowledge for intelligent search, AI applications, and decision-making support.
Role type
Knowledge Graph Engineer
Builds
Knowledge graph systems, data pipelines, and semantic search engines
Domain
Automotive / Artificial Intelligence / Knowledge Graphs
Deliverable
production ML models
Required skills
Knowledge Graph engineering, Graph databases (Neo4j), Data modeling, Cypher queries, Python, NLP (Entity Extraction, Entity Linking), Ontology engineering, Cloud environments (GCP/AWS)
Preferred skills
Semantic modeling (RDF, OWL, SHACL), Data engineering, Data orchestration
Technologies
Neo4j, Python, GCP, AWS, RDF, OWL, SHACL, Cypher
Responsibilities
Design, develop, and maintain knowledge graph models, schemas, and validation rules; Transform structured and unstructured data into knowledge using ingestion and enrichment pipelines; Develop and maintain embedding pipelines for semantic search; Optimize knowledge graph performance, quality, and scalability; Implement and evolve ontologies aligned with business needs; Collaborate with data engineers and AI teams to integrate knowledge into platforms.
Seniority
Mid-Senior, hands-on IC