Knowledge Graph Engineer

• 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