Synechron
MS Maps – Firmwide Data Organization (FDO)
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MS Maps – Firmwide Data Organization (FDO)
Experience: 5-10 Years
Location: Glasgow, UK
Employment type: Full-time
About the Company:
Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,700 professionals across around 60 offices in over 22 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering.
Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community.
About the Role:
MS Maps, within the Firmwide Data Organisation (FDO), is looking for an experienced Graph Engineer / Ontologist to help design, develop, and maintain enterprise-scale knowledge graphs and semantic data solutions.
The successful candidate will have strong hands-on experience with triplestores, RDF, ontologies, and semantic modelling, combined with a background in artificial intelligence, machine learning, or data modelling. You will work across business and technology teams to transform complex data into connected, governed, and reusable information assets.
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This is an opportunity to play a key role in building the data foundations that support advanced analytics, AI, and intelligent decision-making across the organization.
Key Responsibilities:
- Design, develop, and maintain knowledge graphs using RDF, ontologies, and semantic web technologies.
- Build and manage data models that represent complex business domains and relationships.
- Develop and maintain enterprise ontologies, taxonomies, and controlled vocabularies.
- Work with triplestores and graph databases to store, query, and manage linked data.
- Create and optimize SPARQL queries and data transformation pipelines.
- Integrate structured and unstructured data from multiple internal and external sources.
- Apply data modelling and semantic engineering practices to improve data discovery, interoperability, and reuse.
- Support AI and machine-learning use cases through high-quality, connected, and context-rich data.
- Collaborate with data engineers, software engineers, data scientists, architects, and subject-matter experts.
- Translate business requirements into scalable graph-based data solutions.
- Establish standards for ontology development, metadata management, data lineage, and semantic governance.
- Contribute to the evaluation and adoption of graph, AI, and modelling technologies.
- Document technical designs, models, ontologies, and implementation approaches.
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Essential Skills and Experience:
- 5–10 years of relevant experience in graph engineering, ontology engineering, semantic modelling, data engineering, or a related discipline.
- Strong practical knowledge of:
- RDF and RDF Schema
- OWL and ontology design
- SPARQL
- Triplestores and graph data platforms
- Knowledge graphs and semantic web technologies
- Experience designing and implementing conceptual, logical, and physical data models.
- Experience developing or maintaining ontologies, taxonomies, or knowledge representations.
- Understanding of data integration, metadata, data quality, and data governance principles.
- Experience working with AI, machine learning, natural-language processing, or related modelling techniques.
- Strong programming or scripting skills, preferably in Python, Java, or a similar language.
- Ability to work with both technical and non-technical stakeholders.
- Strong analytical, problem-solving, and communication skills.
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