Enterprise Knowledge Graph Engineer (Hybrid – Glasgow)

Financial Services Company; Glasgow; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Morgan Stanley in Glasgow is seeking a Graph Engineer / Ontologist to design, develop, and implement enterprise knowledge graphs and semantic data solutions. You will translate complex business, regulatory, and financial concepts into robust ontologies and graph models for improved data discovery, governance, and analytics.

You will collaborate with data engineers, architects, risk and compliance teams, and business stakeholders to deliver scalable graph-based solutions in a regulated

Qualifications

• Experience in graph engineering and ontology development.
• Strong data modelling and information architecture understanding.
• Practical experience with semantic technologies (RDF/OWL/SKOS/SHACL/SPARQL).
• Experience integrating graph solutions with data platforms and governance.

Responsibilities

• Design, develop, and maintain enterprise knowledge graphs and ontologies.
• Translate business requirements into formal ontology and graph specifications.
• Define entities, relationships, attributes, and semantic rules.
• Develop graph data models using RDF, OWL, SKOS, SHACL, SPARQL, and property graphs.
• Build data ingestion and mapping pipelines from various enterprise data sources.
• Ensure governance, version control, documentation, and lifecycle management.
• Collaborate with domain experts to model financial, regulatory concepts.
• Write and optimize graph queries and data-transformation pipelines.
• Support graph-based search, data lineage, and analytics.

Skills

Graph engineering

Ontology development

Semantic modelling

Knowledge representation

Data modelling

Python/Java/Scala

SPARQL/Cypher

Communication to non-technical

Security and governance

Education

Bachelor’s degree in CS/IS/Data Science

Tools

Neo4j

Amazon Neptune

Stardog

GraphDB

AllegroGraph

Job description

Morgan Stanley in Glasgow is seeking a Graph Engineer / Ontologist to design, develop, and implement enterprise knowledge graphs and semantic data solutions. You will translate complex business, regulatory, and financial concepts into robust ontologies and graph models for improved data discovery, governance, and analytics.

You will collaborate with data engineers, architects, risk and compliance teams, and business stakeholders to deliver scalable graph-based solutions in a regulated