Senior Semantic Data Architect & Ontology Lead

Argus Media; Greater London; Híbrido; GBP 80 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid working environment (one day in

Hybrid working environment (one day in

Resumo da oferta

Argus Media is seeking a Senior Semantic Operations & Data Specialist to support enterprise semantic assets, ontologies and knowledge graph publication. You will work with Ontology Managers to transform data and maintain semantic assets, leveraging AI-assisted tooling and governance processes.

You will develop RDF/OWL representations, manage mappings, validate data quality and collaborate with business and technical teams to ensure compliant, reusable semantic solutions across the organization.

Qualificações

• Experience with ontologies, taxonomies, 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 and semantic processing.
• Experience with semantic libraries and frameworks such as RDFLib or similar technologies.

Responsabilidades

• Discover, analyse, transform, validate and publish semantic assets derived from enterprise data.
• Develop and maintain ontologies, taxonomies, glossaries and knowledge graph assets.
• Collaborate with stakeholders to understand data meaning and context for semantic modelling.

Conhecimentos

Ontology & taxonomy

RDF/OWL/SKOS

SPARQL

SQL

Python

Git/GitHub

Metadata management

Knowledge graph

Data analysis

Stakeholder communication

Ferramentas

RDFLib

GitHub

OpenMetadata

Descrição da oferta de emprego

Argus Media is seeking a Senior Semantic Operations & Data Specialist to support enterprise semantic assets, ontologies and knowledge graph publication. You will work with Ontology Managers to transform data and maintain semantic assets, leveraging AI-assisted tooling and governance processes.

You will develop RDF/OWL representations, manage mappings, validate data quality and collaborate with business and technical teams to ensure compliant, reusable semantic solutions across the organization.