Knowledge Graph & Semantic Data Engineer (Long-Term, Full-Time)

We are looking for an experienced Knowledge Graph & Semantic Data Engineer to join our team on a long-term, full-time remote basis. What you'll do: Design and implement enterprise-grade knowledge graphs Build semantic layers that establish shared business understanding across enterprise systems Model business entities, relationships, taxonomies, ontologies, and controlled vocabularies Create semantic data products for AI applications, analytics platforms, and business users Design enterprise metadata models and integrate them with data catalogues Connect structured and unstructured enterprise data within a unified semantic model Collaborate with data architects, domain experts, and AI teams Maintain governance, lineage, metadata quality, and semantic consistency Integrate semantic models with modern cloud ecosystems and data platforms Required skills: ✅ Hands-on experience designing and implementing knowledge graphs ✅ Semantic technologies: RDF, OWL, SKOS, SPARQL ✅ Graph databases: Neo4j, Amazon Neptune, Stardog, GraphDB (or equivalent) ✅ Enterprise metadata management & data catalogue platforms ✅ Ontologies, taxonomies, and controlled vocabularies ✅ Enterprise data architecture and data modelling ✅ Advanced SQL + multi-system data integration ✅ Cloud platforms: Azure, AWS, or GCP Nice to have: Semantic or enterprise search solutions Master Data Management (MDM) Data Mesh / Data Product concepts Enterprise data governance frameworks AI agents, GenAI, or RAG architectures Engagement: Full-time | Long-term | Remote To apply, please include: Brief description of knowledge graph projects you've worked on Technologies and graph databases used Portfolio or GitHub (if available)