Senior Ontology Engineer & Semantic Graph Architect

SBM Offshore; Marche; On-site; EUR 70,000 - 110,000; Full time

Job summary

SBM Offshore seeks an Ontology specialist to design semantic data models and knowledge graphs for enterprise AI initiatives. You will shape data representations, enable interoperability, and support LLM-driven analytics across the organization.

Responsibilities include building ontologies, entity resolution, APIs for semantic search, and embedding strategies with data engineers and data scientists. Strong RDF/OWL, SPARQL, and graph DB experience are essential.

Qualifications

• Bachelor's degree in CS/DS/IS or related field; ontology focus preferred.
• Hands-on in RDF/OWL and SPARQL is required.
• Experience building knowledge graphs and taxonomies.
• Familiar with graph databases and LLM integration.

Responsibilities

• Design ontologies and graph schemas to model enterprise relationships.
• Implement entity resolution and relationship inference across data sources.
• Build APIs and interfaces for graph traversal and semantic search.
• Optimize graph storage and query performance at scale.
• Develop and maintain enterprise glossary and ontology.
• Ensure alignment between business semantics and data models.
• Collaborate to integrate semantic logic into pipelines.
• Establish data domain ownership and stewardship frameworks.
• Prepare structured data for LLM consumption and embeddings.
• Collaborate with Data Scientist on embedding strategies.

Skills

Ontology development

Semantic technologies

Knowledge graphs

Taxonomies

Data modeling

Education

Bachelor's degree in CS/DS/IS or related field

Advanced certifications in ontology development/semantic web

Master's degree in Data Management/Information Science (preferred)

Tools

Neo4j

Qdrant

Pinecone

Fuseki

Protégé

TopBraid

RDF

OWL

SPARQL

LangChain

Python

SQL

Azure Data Factory

Synapse

Fabric

Job description

SBM Offshore seeks an Ontology specialist to design semantic data models and knowledge graphs for enterprise AI initiatives. You will shape data representations, enable interoperability, and support LLM-driven analytics across the organization.

Responsibilities include building ontologies, entity resolution, APIs for semantic search, and embedding strategies with data engineers and data scientists. Strong RDF/OWL, SPARQL, and graph DB experience are essential.