Job Description This is a remote position. We are looking for an experienced Knowledge Graph Engineer to design and maintain the semantic intelligence layer behind an enterprise-grade Copilot. The role focuses on structuring domain knowledge so the Copilot retrieves information with precision, context, and full business understanding. Work spans ontology design, graph-based retrieval, semantic modelling, and enterprise data integration. Responsibilities Design ontologies and semantic models for complex domains (e.g., banking, advisory) Build ETL pipelines from Microsoft Fabric into graph structures such as Neo4j or GraphRAG Define nodes, relationships, metadata rules, and reasoning layers for precise retrieval Optimise graph performance, indexing, and query execution at scale Implement data quality controls to ensure accuracy and consistency of semantic structures Collaborate with business experts to refine concepts and maintain domain correctness Integrate the knowledge graph with Copilot retrieval flows and agent reasoning logic Maintain an evolving semantic map aligned with real organisational processes Requirements Strong experience with semantic modelling, ontology design, and knowledge representation Hands-on experience with graph databases and graph-based retrieval methods Solid engineering background across ETL development and data transformation Ability to convert complex business logic into formalised graph structures Strong communication skills and confidence working with domain experts Technical experience with: Neo4j, GraphRAG, RDF-based graph systems Microsoft Fabric, Spark, and modern ETL tooling Python or TypeScript for ingestion and transformation Vector-enabled retrieval frameworks and hybrid search strategies Azure-based data services and enterprise integration patterns Relevant certifications such as: Microsoft Azure Data Engineer (or equivalent) Foundation in knowledge engineering or semantic modelling Nice to have Advanced graph database training or certifications Additional cloud certifications related to Azure data or AI services Accreditation in ontology design or semantic web technologies Benefits Solid, competitive salary Work in multinational environment on international projects Comprehensive healthcare Long-term B2B contract with stable project pipeline Fully remote model
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