Knowledge Graph / Ontology Engineer at TechNET IT Recruitment Ltd, United Kingdom, £450 per day

Knowledge Graph / Ontology Engineer

Location: UK (Remote)

Day Rate: £450 per day outside IR35

I am looking for an experienced Knowledge Graph / Ontology Engineer to support the development and delivery of enterprise Knowledge Graph and semantic data capabilities.

This is a hands-on role requiring a strong combination of ontology development, semantic technologies and data engineering, with the ability to take a Knowledge Graph requirement and translate it into a practical, scalable solution.

You will work closely with Enterprise Architecture and wider technical teams, helping to build semantic data layers that bring together structured and unstructured enterprise information and make it accessible through both traditional and natural-language querying.

Key Responsibilities:

• Design, develop and implement Knowledge Graphs and ontologies
• Build and evolve enterprise semantic data layers
• Integrate structured and unstructured data from multiple enterprise sources
• Develop solutions using RDF, OWL, SPARQL and Semantic Web technologies
• Create semantic, reusable and queryable data products
• Develop approaches for querying and navigating enterprise Knowledge Graphs
• Support natural-language querying across enterprise data and Knowledge Graphs
• Apply strong data integration and engineering principles throughout the Knowledge Graph build
• Work closely with Enterprise Architecture teams to translate architectural direction into working solutions
• Clearly communicate technical approaches, design decisions and delivery plans to a range of stakeholders

Skills & Experience:

I am looking for someone with demonstrable experience across:

• Knowledge Graph development and implementation
• Ontology development and semantic modelling
• RDF, OWL and SPARQL
• Semantic Web technologies
• Structured and unstructured data integration
• Data integration and engineering
• Semantic and queryable data products
• Natural-language querying over enterprise data and/or Knowledge Graphs
• Working collaboratively with Enterprise Architecture teams