Senior Data Engineer - Knowledge Graph

chainiqgro; Lisboa; Presencial; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Great Place to Work-certified

Descripción de la vacante

Chain IQ is building an AI-native procurement platform. We are seeking a semantic modelling expert to define ontologies, maintain procurement knowledge graphs, and collaborate with data and product teams to enable retrieval, reasoning, and AI-driven workflows.

You will model business meaning and lifecycle states, ensuring long-term semantic maintainability and interoperability across the platform. Based in Lisbon, you’ll join a global team driving procurement transformations.

Formación

• Experience with semantic modelling and ontologies.
• Strong understanding of entities, relationships, events and business context.
• Ability to translate procurement concepts into reusable semantic structures.
• Familiarity with graph databases and knowledge representation.

Responsabilidades

• Define and maintain procurement ontologies covering entities, attributes, relationships, events, states, and business concepts.
• Own the semantic model for core domains such as suppliers, contracts, obligations, and sourcing events.
• Design and evolve procurement knowledge graphs representing entities, relationships, dependencies, and business context.
• Define context graph patterns used to assemble relevant information for users, workflows, retrieval systems, and AI agents.
• Model temporal relationships, lifecycle states, provenance, and ownership explicitly.
• Define graph construction patterns linking structured data, documents, and external signals to canonical entities.
• Establish approaches for entity resolution, supplier normalization, deduplication, and relationship confidence.
• Define validation rules and quality expectations for ontology and graph structures.
• Ensure models support retrieval, reasoning, workflow automation, and AI agent execution.
• Collaborate with Data Architecture, Data Engineering, Product, AI, Domain, and Governance teams.
• Help eliminate duplicated business logic by moving meaning into shared semantic assets.

Conocimientos

Semantic modelling

Knowledge graphs

Ontology design

Graph data modelling

Domain modelling

Herramientas

RDF/OWL

Property graphs

Neo4j/GraphDB

Descripción del empleo

Location: Lisbon, PT

At Chain IQ, your ideas move fast.

Chain IQ is a global AI-driven Procurement Service Partner, headquartered in Baar, Switzerland, with operations across main centers and 16 offices worldwide. We provide tailored, end-to-end procurement solutions that enable transformation, drive scalability, and deliver substantial reductions in our clients' indirect spend. Our culture is built on innovation, entrepreneurship, ownership, and impact. Here, your voice matters - bold thinking is encouraged, and action follows ambition.

We are building the semantic and graph foundation for an AI-native procurement platform. This role defines and evolves the ontologies, knowledge graphs, and context graphs that allow applications, analytics, workflows, and AI agents to understand procurement data consistently.

You will model the business meaning, entities, relationships, events, and context that sit beneath the platform’s intelligence layer. This is not dashboard semantics. This is the semantic backbone for retrieval, reasoning, agent orchestration, workflow automation, and decision support.

Responsibilities

• Define and maintain procurement ontologies covering entities, attributes, relationships, events, states, and business concepts.
• Own the semantic model for core domains such as suppliers, contracts, obligations, sourcing events, categories, risks, savings, and operational workflows.
• Design and evolve procurement knowledge graphs representing entities, relationships, dependencies, events, and business context.
• Define context graph patterns used to assemble relevant information for users, workflows, retrieval systems, and AI agents.
• Model temporal relationships, lifecycle states, provenance, hierarchy, ownership, and dependency structures explicitly.
• Define graph construction patterns linking structured data, documents, communications, workflow events, and external signals to canonical entities.
• Establish approaches for entity resolution, supplier normalization, deduplication, identity management, and relationship confidence.
• Define validation rules and quality expectations for ontology and graph structures.
• Ensure semantic and graph models support retrieval, reasoning, recommendations, workflow automation, and agentic execution.
• Collaborate with Data Architecture, Data Engineering, Product, AI, Domain, and Governance teams to ensure graph structures are technically feasible, governed, and useful.
• Help eliminate duplicated business logic from dashboards, applications, and workflow tools by moving meaning into shared semantic and graph assets.

Requirements

• 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 procurement concepts into reusable semantic and graph structures.
• Familiarity with graph databases, RDF/property graph concepts, ontologies, taxonomies, or knowledge representation.
• Understanding of entity resolution, normalization, provenance, lineage, and metadata management.
• Ability to design models that support both human interpretation and machine reasoning.
• Comfort collaborating with data engineers, architects, product teams, domain experts, and AI engineers.
• Strong attention to consistency, correctness, and long-term semantic maintainability.

Join a truly global team.

We offer a dynamic and international environment where high performance meets real purpose. We're proud to be Great Place to Work-certified and even prouder of the people who make that possible. Let’s shape the future of procurement - together.

Chain IQ – Create. Lead. Make an impact.