Knowledge Graph Engineer
New
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonETLTypeScriptSpark
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
- Technical experience with Neo4j, GraphRAG, RDF-based graph systems
- Technical experience with Microsoft Fabric, Spark, and modern ETL tooling
- Technical experience with Python or TypeScript
- Experience with vector-enabled retrieval frameworks and hybrid search strategies
- Experience with Azure-based data services and enterprise integration patterns
- Foundation in knowledge engineering or semantic modelling
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
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