Senior Data Engineer - Knowledge Graph (Hybrid, Lisboa)

International Indefinido 73.000€ - 86.000€ por ano Trabalho Remoto / Híbrido Consultar descrição da função
Help 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.

Added 04/11/2026

  • dynamic and international environment
  • where high performance meets real purpose

Sobre o nosso cliente

AI-driven Procurement Service Partner, headquartered Switzerland and with 16 offices worldwide.

Descrição

  • 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.

Perfil ideal

  • 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.

Vantagens

  • Permanent contract.
  • Salary range of EUR 73,000 to EUR 86,000.
  • Relevant bonus
  • Meal allowance through Coverflex.
  • Social Security contributions.
  • Health Insurance
  • Other benfits
Pesquise mais Ofertas
Goncalo Castelbranco
Quote job ref
JN-112026-7140415

Resumo da Função

Setor
Information Technology
Subsetor
Engenharia de Base de Dados
Adicionar indústria
Technology & Telecoms
Localização
International
Tipo de contrato
Indefinido
Nome do Consultor
Goncalo Castelbranco
Referência da Oferta
JN-112026-7140415
Tipo de trabalho
Trabalho Remoto / Híbrido

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