Location - Erskine, Newcastle, Farnborough or London

Candidates are required to be eligible for clearance

What Youll Do

• Design Ontologies: Develop and maintain ontologies using OWL/RDF to model enterprise data domains and relationships.
• Build Knowledge Graphs: Create and manage enterprise knowledge graphs that unify diverse data sources.
• Semantic Querying: Develop and optimise SPARQL queries for advanced data retrieval and analytics.
• Ensure Data Quality: Implement semantic validation rules (e.g., SHACL, OWL constraints) for data integrity and interoperability.
• Integrate with Enterprise Systems: Embed semantic models into data pipelines, APIs, and enterprise workflows.
• Collaborate with AI Teams: Enable AI agents and LLMs to leverage ontologies and knowledge graphs for context-aware reasoning.
• Adopt Best Practices: Stay current with semantic web standards and contribute to internal guidelines for semantic data management.

What Were Looking For

• Education: Bachelors degree in Computer Science, Information Science, or related field.
• Semantic Web Expertise: Hands-on experience with OWL, RDF, and SPARQL.
• Knowledge Graph Experience: Practical experience with graph databases (Neo4j, GraphDB, Apache Jena, etc.).
• Data Modelling & Integration: Strong understanding of data architecture and integration techniques.
• Programming Skills: Proficiency in Python, Java, or similar for semantic data processes.
• Analytical Skills: Ability to troubleshoot ontology logic and query performance.

Desired Experience

• Familiarity with metadata standards (Dublin Core, schema.org).
• Experience integrating semantic technologies with AI/LLM workflows.
• Proven track record of embedding semantic layers into enterprise systems.
• Hands-on with tools like Protégé, semantic reasoners, or cloud-based graph services (AWS Neptune, Azure Cosmos DB).

Why DXC Technology?
At DXC Technology, we help global enterprises run mission-critical systems and operations while modernising IT and driving innovation. Join us to work on impactful projects that shape the future of enterprise data and intelligent systems.