21 of 21 SPARQL Jobs in the UK

Flink Governance, catalogue and lineage: Microsoft Purview, Collibra, Informatica, Alation, Atlan, OpenLineage Graph, ontology and semantic technologies: Neo4j, Amazon Neptune, Stardog, GraphDB, RDF, OWL, SPARQL AI/ML data infrastructure: vector databases and search platforms such as Pinecone, Weaviate, Milvus, Azure AI Search, OpenSearch or pgvector; feature stores such ...

years' relevant professional experience Knowledge graph, semantic layer or ontology engineering experience, including technologies or standards such as Neo4j, RDF/OWL, SKOS, SPARQL or GraphRAG. Data quality, master data management or lineage tooling experience, including entity resolution, business glossaries, catalogues or platforms such as Collibra, Purview or Unity Catalog. ...

teams who deliver them. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus all of the following: Significant experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Advanced practical knowledge of schema design, ontology management, and KG curation Seasoned in designing and developing KG solutions and graph-based ML models ...

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 the team. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus at least 3 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Expertise in designing and developing KG solutions and graph-based ML models (functional + ...

with the team. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus at least 3 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Well versed in designing and developing KG solutions and graph-based ML models (functional ...

track record delivering semantic layers, ontologies, and knowledge graphs into production environments. Strong understanding of semantic web technologies and knowledge representation (e.g. RDF, OWL, SPARQL, Cypher) and experience with graph databases such as Neo4j or GraphDB. Solid programming skills in Python (or similar) for data integration, pipeline development, and automation. ...

track record delivering semantic layers, ontologies, and knowledge graphs into production environments. Strong understanding of semantic web technologies and knowledge representation (e.g. RDF, OWL, SPARQL, Cypher) and experience with graph databases such as Neo4j or GraphDB. Solid programming skills in Python (or similar) for data integration, pipeline development, and automation. ...

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 ...

automation, guardrails, auditability and escalation. What We’re Looking For Strong understanding of knowledge representation and semantic technologies, including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle and N-Quads. Experience with semantic modelling and graph/triple-store technologies such as PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory ...

embeddings, prompt engineering, retrieval-augmented generation and agentic AI frameworks such as 'LangChain', 'LangGraph', 'LlamaIndex' or 'CrewAI'. Experience with knowledge graphs, 'Neo4j', 'Cypher', 'SPARQL' or graph-based data structures. Familiarity with AWS or Azure and basic deployment of ML models or data pipelines. Background or interest in biology, chemistry ...

constraints, classifications, and semantic rules.· Develop graph data models using appropriate standards and technologies, such as:* RDF and RDF-star* OWL and SKOS* SHACL* SPARQL* Property-graph models and Cypher· Build data-mapping and ingestion processes from relational databases, APIs, documents, and other enterprise data sources.· Integrate graph solutions with … closely related discipline.· Strong understanding of data modelling principles and information architecture.· Practical experience with one or more of:* RDF, OWL, SKOS, SHACL, SPARQL* Neo4j, Amazon Neptune, Stardog, GraphDB, AllegroGraph, or similar graph platforms* Cypher or other graph-query languages· Experience with data integration, ETL/ELT pipelines, APIs, relational ...

automation, guardrails, auditability and escalation. What We’re Looking For Strong understanding of knowledge representation and semantic technologies, including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle and N-Quads. Experience with semantic modelling and graph/triple-store technologies such as PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory ...

case requires it. You have experience with a graph database or query language, or closely related semantic tooling. Familiarity with Cypher, SPARQL, RDF or property graphs is valuable; no single stack is required. You can work with analysts, product managers, data scientists and engineers to define an ambiguous problem, make ...

degree or equivalent BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus at least 4 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) solid experience in schema design, ontology management, and KG curation Proven experience in designing and developing KG solutions and graph-based ML models ...

will help design ontologies, taxonomies, glossaries and knowledge graphs using RDF, OWL, SHACL and Linked Data practices. The role covers data wrangling, validation, SPARQL and graph operations, entity resolution and metadata governance, with cross‐functional collaboration. #J-18808-Ljbffr ...

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 … technologies and standards - specifically, 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: A solid ...

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 … technologies and standards - specifically, 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: A solid ...

representations of approved semantic models. Create mappings between business concepts, source data and semantic representations. Support ontology, taxonomy and controlled vocabulary publication processes. SPARQL & Graph Operations Develop, test and optimise SPARQL queries to support semantic analysis, validation, reporting and knowledge graph operations. Support concept scheme maintenance and semantic asset lifecycle … vocabularies, metadata or knowledge graph solutions. Strong understanding of RDF, RDFS, SKOS, OWL, SHACL and Linked Data principles. Experience writing and optimising SQL and SPARQL queries. Experience using Python for data wrangling, transformation, automation and semantic processing. Experience with semantic libraries and frameworks such as RDFLib or similar technologies. Strong ...

candidate and vacancy data, including skills, qualifications, and employment history. Preserve source evidence, record changes, and represent conflicting information within the models. Write SPARQL queries, maintain taxonomy mappings, and use SHACL to validate graph data. Build Python services and repeatable processes to map structured records and extracted information into … tested components within a team. Hands-on experience implementing an RDF knowledge graph and designing or extending an ontology in a working system, including SPARQL queries, defining classes and relationships, modelling taxonomies, and applying SHACL constraints. Ability to explain modelling choices and demonstrate handling of data quality or query problems. ...

portals and more. Designing interfaces and tools to expose to the models and agents to use the services in different ways (direct YQL or SPARQL queries, or more refined and constrained MCPs to mimic external services) to support data generation and agentic training. Building the data pipelines that ingest, index … equivalent large-scale information retrieval) experience. Experience building or operating MCP servers/tool‐serving infrastructure for LLMs. Familiarity with knowledge graphs, RDF/SPARQL, or large structured databases (PostgreSQL, ClickHouse, DuckDB...). Experience with large bare‐metal infrastructure or HPC environments. What We Offer We offer a comprehensive benefits ...