8 of 8 Permanent SPARQL Jobs in the UK

experience with:* OWL (Web Ontology Language)* RDF (Resource Description Framework)* SKOS (Simple Knowledge Organization System)* SHACL (Shapes Constraint Language)* Semantic Web standards and technologies* SPARQL, Linked DataExperience developing, managing, and governing:* Controlled Vocabularies* Taxonomies* Business Glossaries* Semantic StandardsKnowledge and Domain Expertise Strong understanding of:* Semantic Interoperability* Metadata Management* Ontology Lifecycle ...

with dbt Labs Good Python skills, API integration, automation Practical Snowflake and Databricks experience including Cortex AI and Genie Working knowledge of OWL, RDF, SPARQL and enterprise ontology design Experience with at least one agentic AI framework GitHub Copilot or equivalent AI coding assistant experience in a professional setting Financial ...

toolset)Proven experience with dbt LabsGood Python skills, API integration, automationPractical Snowflake and Databricks experience including Cortex AI and GenieWorking knowledge of OWL, RDF, SPARQL and enterprise ontology designExperience with at least one agentic AI frameworkGitHub Copilot or equivalent AI coding assistant experience in a professional settingFinancial services background preferred ...

modeling)Ontology Engineering (OWL/RDF, Protégé)Graph RAG (LLM integration, retrieval strategies)API Design (REST/GraphQL)Preferred SkillsGraph platforms: Neptune, TigerGraphSemantic standards: SPARQL, SHACLAI/ML and LLM ecosystem exposureData governance and integration experienceSummaryThis role is pivotal in shaping the semantic foundation for enterprise AI, bridging data architecture ...

extensible knowledge graph solutions for enterprise applications.Expertise in ontology engineering, semantic modeling, taxonomy design, and enterprise knowledge representation.Deep understanding of graph databases, RDF, OWL, SPARQL, property graphs, linked data, and semantic interoperability.Experience designing and implementing GraphRAG, Hybrid RAG, contextual retrieval, vector search, semantic search, and enterprise knowledge retrieval architectures.Experience integrating ...

involves configuring graph databases or triple stores, populating the knowledge graph with data (RDF triples), and optimizing it for query performance and scalability.Semantic Querying (SPARQL): Create and optimize SPARQL queries to enable efficient retrieval, integration, and analysis of data from the knowledge graph. You will develop semantic queries and endpoints … semantic web technologies and standardsspecifically, hands-on proficiency with OWL (Web Ontology Language) and RDF (Resource Description Framework) for ontology modelling, as well as SPARQL for querying graph data.Knowledge Graph Experience: Practical experience building or maintaining knowledge graphs or linked data systems in an enterprise setting.Data Modelling & Integration Skills ...

semantic web principles.Semantic Implementation & Graph EngineeringDevelop and maintain the software implementation of the Digital Thread using the Semantic Web stack (e.g., RDF, OWL, SPARQL).Build and optimise the graph databases and triple stores that house the engineering relationships and enrichments.Implement the logic that allows for the "enrichment" of data … software craftsmanship and clean code.Complex Data Experience: Experience handling data from heterogeneous, distributed sources. While experience with the Semantic Web stack (RDF, OWL, SPARQL) or Graph Databases (Neo4j, GraphDB, Stardog, etc.) is highly desirable, we value a strong engineering mindset and a willingness to learn these technologies.Distributed Systems Knowledge ...

semantic web principles.Semantic Implementation & Graph EngineeringDevelop and maintain the software implementation of the Digital Thread using the Semantic Web stack (e.g., RDF, OWL, SPARQL).Build and optimise the graph databases and triple stores that house the engineering relationships and enrichments.Implement the logic that allows for the "enrichment" of data … software craftsmanship and clean code.Complex Data Experience: Experience handling data from heterogeneous, distributed sources. While experience with the Semantic Web stack (RDF, OWL, SPARQL) or Graph Databases (Neo4j, GraphDB, Stardog, etc.) is highly desirable, we value a strong engineering mindset and a willingness to learn these technologies.Distributed Systems Knowledge ...