MS Maps – Firmwide Data Organization (FDO)

Greetings,

Synechron is currently hiring for an immediate opening for the position of MS Maps – Firmwide Data Organization (FDO) in Glasgow, UK

• Role: MS Maps – Firmwide Data Organization (FDO)
• Experience: 5-10 Years
• Location: Glasgow, UK
• Employment type: Full-time

About 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.

Synechron: Technology and AI Consulting for Business

Synechron is an innovative global consulting firm delivering industry-leading digital solutions to transform and empower businesses.

Diversity, Equity, and Inclusion

Synechron’s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.

We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn’t matter where you’re from or what you’ve had to do to get here – if you have the skills, enthusiasm, and drive to make your mark, we’ll support you like we support each other. Choose a career with us and let’s pursue innovation, together.

Job Description:

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.

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 organisation.

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 optimise 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.

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.