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Chain IQ Group AG
Chain IQ Group AG
501 – 1,000 Employees
ConsultingEnterpriseProfessional services
Chain IQ Group AG is a procurement consulting and professional services company focused on indirect procurement. Its work helps organizations develop more resilient, ethical, and digitally enabled procurement functions, combining strategic guidance with specialist expertise to create value beyond cost reduction. Founded in 2013, the company serves enterprise clients and emphasizes sustainability and responsible sourcing practices in its procurement work.
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Senior Data Engineer, Semantics and Domain Models - Chain IQ, Lisbon Onsite

Lead the semantic foundations of Chain IQ’s AI-enabled procurement platform through ontology design, knowledge graphs, and context modeling. Your work will support data retrieval, machine reasoning, workflow automation, and AI-agent execution.

PTPortugalOn-siteFull-timeSeniorEnglish RequiredData Engineer

Description

  • Create and maintain procurement ontologies that define business entities, attributes, relationships, events, states, and concepts.
  • Own semantic models for suppliers, contracts, obligations, sourcing events, categories, risks, savings, and operational workflows.
  • Build and refine procurement knowledge graphs that capture entities, relationships, dependencies, events, and business context.
  • Establish context-graph patterns for users, workflows, retrieval systems, and AI agents.
  • Represent temporal relationships, lifecycle states, provenance, hierarchies, ownership, and dependencies.
  • Define graph-building methods that connect structured data, documents, communications, workflow events, and external signals with canonical entities.
  • Develop methods for entity resolution, supplier normalization, deduplication, identity management, and relationship-confidence assessment.
  • Set validation rules and quality standards for ontology and knowledge-graph structures.
  • Ensure semantic and graph models enable retrieval, reasoning, recommendations, workflow automation, and agentic execution.
  • Partner with Data Architecture, Data Engineering, Product, AI, Domain, and Governance teams.
  • Reduce duplicated business logic by centralizing meaning in shared semantic and graph assets.

Requirements

  • Hands-on experience in semantic modeling, ontology design, knowledge graphs, graph data modeling, or domain modeling.
  • Strong grasp of entities, relationships, events, lifecycle states, and business context.
  • Ability to convert complex procurement concepts into reusable semantic and graph structures.
  • Working knowledge of graph databases, RDF or property-graph concepts, ontologies, taxonomies, or knowledge representation.
  • Understanding of entity resolution, normalization, provenance, lineage, and metadata management.
  • Ability to design models that are clear to people and usable for machine reasoning.
  • Comfort working with data engineers, architects, product teams, domain specialists, and AI engineers.
  • Strong focus on consistency, accuracy, and sustainable semantic model maintenance.

Benefits

  • Work in a dynamic, internationally oriented environment.
  • Join an employer certified as a Great Place to Work.

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