Graph Engineer / Ontologist - #2157800

Job Role: Graph Engineer / Ontologist

Job Location: Glasgow, UK

Experience: Mid-Senior Level

Work Type: Hybrid

About Company:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Summary:

Client is seeking a Graph Engineer / Ontologist to support the design, development, and implementation of enterprise knowledge graphs and semantic data solutions. The role will involve translating complex business and regulatory concepts into robust ontologies, graph models, and reusable data products that improve data discovery, integration, governance, and analytics across the organization.

The successful candidate will work closely with data engineers, software developers, architects, subject-matter experts, risk and compliance teams, and business stakeholders to create scalable graph-based solutions in a highly regulated financial-services environment.

Key Responsibilities:

· Design and develop knowledge graphs, ontologies, taxonomies, and semantic information models.

· Translate business, operational, financial, and regulatory requirements into formal graph and ontology specifications.

· Define entities, relationships, attributes, constraints, classifications, and semantic rules.

· Develop graph data models using appropriate standards and technologies, such as:

• RDF and RDF-star
• OWL and SKOS
• SHACL
• SPARQL
• Property-graph models and Cypher

· Build data-mapping and ingestion processes from relational databases, APIs, documents, and other enterprise data sources.

· Integrate graph solutions with data platforms, data catalogues, data-quality tools, and analytical applications.

· Establish ontology governance, including versioning, change management, documentation, reuse, and lifecycle management.

· Collaborate with domain experts to create consistent definitions of financial, legal, organizational, risk, and regulatory concepts.

· Develop validation rules and quality controls to ensure graph data is accurate, complete, consistent, and traceable.

· Write and optimize graph queries and data-transformation pipelines.

· Support graph-based search, lineage, impact analysis, entity resolution, data discovery, and analytics use cases.

· Contribute to technical design reviews, engineering standards, testing, deployment, and operational support.

· Produce clear technical documentation, modelling guidelines, and user documentation.

· Promote best practices in semantic modelling, metadata management, data governance, and responsible use of data.

· Stay informed about developments in knowledge graphs, semantic technologies, AI, data architecture, and financial-services regulation.

Required Skills and Experience:

· Experience in graph engineering, ontology development, semantic modelling, knowledge representation, or a closely related discipline.

· Strong understanding of data modelling principles and information architecture.

· Practical experience with one or more of:

• RDF, OWL, SKOS, SHACL, SPARQL
• Neo4j, Amazon Neptune, Stardog, GraphDB, AllegroGraph, or similar graph platforms
• Cypher or other graph-query languages

· Experience with data integration, ETL/ELT pipelines, APIs, relational databases, and structured or semi-structured data.

· Proficiency in at least one programming language, such as Python, Java, or Scala.

· Ability to analyze complex requirements and represent them in clear, maintainable conceptual and logical models.

· Understanding of ontology design principles, including reuse, modularity, alignment, extensibility, and governance.

· Experience working with cross-functional stakeholders and explaining technical concepts to non-technical audiences.

· Strong problem-solving, analytical, communication, and documentation skills.

· A disciplined approach to security, data quality, controls, and operational risk.

Desirable Skills:

• Experience in banking, capital markets, financial services, risk, compliance, or regulatory data.
• Knowledge of financial-industry standards and reference models, such as FIBO, ISO 20022, LEI, or other recognized data standards.
• Experience with data lineage, metadata management, master data management, data catalogues, or data governance.
• Familiarity with cloud platforms, containerisation, CI/CD, and infrastructure-as-code.
• Experience with entity resolution, natural-language processing, machine learning, or graph-based AI applications.
• Knowledge of software engineering practices, automated testing, code review, and agile delivery.
• Experience supporting enterprise-scale platforms with high availability, security, and performance requirements.
• Relevant degree or equivalent experience in computer science, information systems, data science, mathematics, engineering, or a related field.