3 of 3 Cypher Jobs in London

implementing knowledge graphs in a production or client-facing environment Specific semantic ontology and taxonomy experience particularly using tools (Protege and Graphview) Hands-on Neo4j or equivalent graph database capability including Cypher query design and optimisation Experience building ETL/ELT pipelines that feed structured data into graph platforms … source. What You Will Do: Design and extend the enterprise knowledge graph architecture as operational requirements grow Implement and maintain graph database infrastructure using Neo4j or equivalent platforms Build and manage ETL/ELT pipelines that ingest group operational data into the knowledge graph accurately and consistently Design and optimise ...

environment. Key Responsibilities Build and optimise ETL/ELT pipelines for knowledge graphs and other data sources. Design and manage graph databases such as Neo4j, AWS Neptune, and ArangoDB. Develop semantic data models using RDF, OWL, and SPARQL. Integrate structured, semi-structured, and unstructured data into knowledge graph systems. Ensure … Strong proficiency in Python and SQL. Experience with graph query languages such as SPARQL and Cypher. Hands-on experience with graph databases and frameworks (Neo4j, GraphQL, RDF, or similar). Experience working with cloud platforms such as AWS and/or Azure. Strong data modelling, analytical, and problem-solving skills. ...

Semantic Architecture: Design scalable graph schemas (LPG and/or RDF/OWL) to meet semantic and inference requirements. Author and optimise queries using Cypher, Gremlin, and SPARQL for seamless data traversal and reasoning. Define canonical entity models and mapping layers to integrate diverse data sources. Ontology Engineering & Reasoning … query languages like Cypher, Gremlin, and SPARQL, with a strong understanding of LPG vs RDF/OWL tradeoffs. Hands-on experience with Neo4j, AWS Neptune, TigerGraph, or Stardog in a production environment. Proficiency in mapping enterprise data (Snowflake, MongoDB, SharePoint, ERP) into graph and ontology layers. A solid grasp ...