Lead Knowledge Engineer - Semantic Web Technologies
S&P Global
Gdansk, Poland
Not specified; not specified; competitive pyy + re...
Hybrid
Ontology development experience
Semantic web technologies rdf owl sparql
Knowledge graph construction and maintenance
The role involves developing and enhancing ontologies, taxonomies, and knowledge graphs to support interconnected data strategies within S&P Global's Enterprise Data Organization
Job Summary
The role involves developing and enhancing ontologies, taxonomies, and knowledge graphs to support interconnected data strategies within S&P Global's Enterprise Data Organization.
Candidates will work as individual contributors solving complex challenges alongside visionary leadership to build next-generation data architecture and tooling.
The position offers a culture of innovation and collaboration with benefits including health care coverage, flexible downtime, and continuous learning resources.
Matching Summary
Match Score: 75
The role involves developing and enhancing ontologies, taxonomies, and knowledge graphs to support interconnected data strategies within S&P Global's Enterprise Data Organization.
Salary
Not specified; Not specified; Competitive pay and retirement planning mentioned
Skills & Requirements
Must-have
Ontology development experience
Semantic web technologies RDF OWL SPARQL
Knowledge graph construction and maintenance
Advanced data integration in enterprise environments
Metadata management and ontology tools
Nice-to-have
Cloud services experience AWS Google Cloud Azure
Agile development life cycle understanding
Strong communication with non-technical stakeholders
Python Java or JavaScript programming skills
Influence on strategic semantic vision and roadmap
Key Requirements
5+ years experience with ontology development
3+ years experience in advanced data integration
Advanced studies in computer science or related field preferred