Description:

S&P Global is hiring a Senior Knowledge Engineer to help drive its transformation into a next-generation data intelligence organization. In this role, you will design and enhance ontologies, taxonomies, knowledge graphs, and semantic data models while working closely with data and software engineering teams. This is a great opportunity for professionals passionate about semantic technologies, data governance, and building interconnected data solutions at enterprise scale.

Key Technical Skills:

Knowledge Graphs, Ontologies, Taxonomies, Semantic Web, RDF, RDFS, OWL, Metadata Management, RDFLib, Triple Stores, VocBench, TopQuadrant, PoolParty, Python, Java, JavaScript, AWS, Google Cloud, Azure, Data Governance, Data Quality, Metadata Management, Master Data Management, Agile

Requirements:

• 3+ years of experience in taxonomy, ontology development, and semantic web technologies.
• 2+ years of experience working with semantic data integration and knowledge graph solutions.
• Hands-on experience with RDF, RDFS, OWL, and semantic management tools such as VocBench, TopQuadrant, PoolParty, or RDFLib.
• Programming experience in Python, Java, or JavaScript.
• Understanding of cloud platforms (AWS, Google Cloud, or Azure) is preferred.
• Good knowledge of data governance, metadata management, and Agile development practices.
• Strong communication skills with the ability to work with both technical and business stakeholders.