Knowledge-Engineer (m/w/d)
Core
Design, develop, and operate enterprise-wide knowledge graphs and ontologies for domains including tax, law, and finance.
Role type
Knowledge Engineer (Semantic Web & Knowledge Graphs)
Builds
Knowledge graph-driven applications, services, and semantic data models integrating existing data silos.
Domain
Enterprise IT, Tax, Law, Finance, Semantic Web
Deliverable
production ML models
Required skills
Ontology design (RDF, OWL), Semantic Web technologies (SPARQL, SHACL), Knowledge graph development, Python, Java, Data engineering (ETL, Kafka), SQL, Query performance optimization
Preferred skills
LLM integration, Cloud platforms (AWS, Azure, GCP), Containerization (Docker, K8S), CI/CD (Gitlab, Github)
Technologies
RDFlib, RDF4J, Apache Jena, Kafka, PostgreSQL, MongoDB, SpringBoot, Angular, TypeScript
Responsibilities
Develop and maintain enterprise knowledge graphs; Conceive and implement ontologies; Integrate data silos into semantic models; Establish quality assurance and validation methods; Monitor and optimize query performance; Collaborate with Data Scientists and MLOps teams.
Seniority
Mid-Senior, hands-on IC
