Senior Knowledge Graph Engineer

Location: Lisbon, Portugal (100% Onsite)
Experience: 10+ Years
Language: Fluent English (Written & Spoken)

About the Role

We are looking for a Senior Knowledge Graph Engineer to build and evolve the semantic foundation of an AI-driven enterprise platform. You will design ontologies, semantic models, and knowledge graphs that enable analytics, AI agents, automation workflows, retrieval systems, and intelligent applications to understand and connect data consistently.

This role combines data engineering, semantic modeling, ontology design, and graph architecture to create scalable, reusable, and governed knowledge assets.

Key Responsibilities

• Design and maintain ontologies, taxonomies, semantic models, and domain models.
• Build and evolve knowledge graphs and context graphs representing entities, relationships, events, dependencies, and business processes.
• Define entity resolution, deduplication, normalization, identity management, and relationship confidence frameworks.
• Model lifecycle states, hierarchy, ownership, lineage, provenance, and temporal relationships.
• Develop graph construction patterns linking structured data, unstructured data, documents, communications, and operational events.
• Establish governance, validation, and quality standards for semantic and graph assets.
• Enable AI agents, RAG solutions, workflow automation, recommendations, search, and machine reasoning capabilities.
• Collaborate with Data Engineering, Architecture, Product, Governance, and AI teams to deliver scalable semantic solutions.

Required Skills & Technologies

• Experience with semantic modelling, ontology design, knowledge graphs, graph data modelling, or domain modelling.
• Strong understanding of entities, relationships, events, lifecycle states, and business context.
• Ability to translate complex business concepts into reusable semantic and graph structures.
• Familiarity with graph databases, ontologies, taxonomies, and knowledge representation.
• Experience with entity resolution, normalization, provenance, lineage, and metadata management.
• Understanding of structured and unstructured data and their integration into graph-based models.
• Experience designing models that support both human interpretation and machine reasoning.
• Knowledge of AI agents, retrieval systems, automation workflows, and analytics use cases.

Why Join?

You will help build the intelligence layer that powers AI applications, advanced search, workflow automation, knowledge retrieval, and decision support systems. Your work will directly influence how information is connected, understood, and leveraged across the business.