Lead Knowledge Engineer – Semantic Web Technologies

S&P Global

Lead Knowledge Engineer developing ontologies and knowledge graphs to enhance S&P Global’s data management. Collaborates across teams to implement strategic data governance initiatives with modern technologies.

Posted 6/9/2026full-timeGdansk • 🇵🇱 PolandSeniorWebsite

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

ontology developmentsemantic web technologiesRDFRDFSOWLSPARQLdata integrationprogramming (Python, Java, JavaScript)cloud services (AWS, Google Cloud, Azure)metadata management

Soft Skills

thought leadershipstrategic visionprioritizationinfluencegovernance participation

Tools & Technologies

VocBenchTopQuadrantPoolPartyRDFLibtriple stores

Industry Keywords

knowledge graphssemantic artefactsdata governancedata qualityreference data managementmaster data managementagile development life cycle

Tech Stack

Tools & technologies

AWSAzureCloudJavaJavaScriptPython

About the role

Key responsibilities & impact

Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery.
Design and prototype data/software engineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts and interconnected data layer for various application contexts.
Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met.
Influence the strategic semantic vision, roadmap, and next-generation architecture.
Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains.
Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment.
Influence and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools.

Requirements

What you’ll need

5+ years of experience with ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL) and open-source or commercial semantic tools (e.g., VocBench, TopQuadrant, PoolParty, RDFLib, triple stores);
Advanced studies in computer science, knowledge engineering, information sciences, or related discipline preferred.
3+ years of experience in advanced data integration with semantic and knowledge graph technologies in complex, enterprise-class, multi-system environment(s); skilled in all phases from conceptualization to optimization.
Programming skills in a mainstream programming language (Python, Java, JavaScript), with experience in utilizing cloud services (AWS, Google Cloud, Azure) is a great bonus.
Understanding of the agile development life cycle and the broader data management discipline (data governance, data quality, metadata management, reference and master data management).

Benefits

Comp & perks

Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.