Ontology Specialist

About the role

As an Ontology Specialist you will design and implement semantic data models and knowledge graphs that enable advanced data integration, interoperability, and AI‑driven insights across SBM Offshore. The role ensures structured and unstructured data are organized, accessible, and optimized for analytics, machine learning and large language model applications.

Key responsibilities

• Design ontologies and graph schemas to represent complex enterprise relationships.
• Implement entity resolution and relationship inference across diverse data sources.
• Build APIs and query interfaces for graph traversal and semantic search.
• Optimize graph storage and query performance for large‑scale usage.
• Develop and maintain an enterprise business glossary and ontology.
• Collaborate with data engineers and architects to embed semantic logic into pipelines.
• Prepare structured and contextual data for LLM consumption and manage vector databases for semantic search.

Required profile

• Bachelor’s degree in Computer Science, Data Science, Information Systems or a related field (Master’s preferred).
• Minimum 5 years of experience in data engineering, information or knowledge management, with hands‑on ontology development.

Required skills

• Semantic web technologies: RDF, OWL, SPARQL.
• Knowledge‑graph tools: Neo4j, Fuseki, Protégé, TopBraid.
• Vector‑database platforms: Qdrant, Pinecone.
• Programming languages: Python, SQL.
• Data‑pipeline orchestration: Azure Data Factory, Synapse, Fabric.
• LLM integration frameworks such as LangChain.