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Chain IQ Group AG
Chain IQ Group AG
501 – 1 000 Xodimlar
KonsaltingKorxonaProfessional xizmatlar
Chain IQ Group AG bilvosita xaridlar sohasiga ixtisoslashgan xaridlar bo‘yicha konsalting va professional xizmatlar kompaniyasidir. Kompaniya strategik yo‘l-yo‘riqni maxsus ekspertiza bilan uyg‘unlashtirib, tashkilotlarga yanada barqaror, axloqiy va raqamli imkoniyatlar bilan ta’minlangan xarid funksiyalarini rivojlantirishga yordam beradi hamda faqat xarajatlarni kamaytirishdan tashqari qo‘shimcha qiymat yaratadi. 2013-yilda tashkil etilgan kompaniya korporativ mijozlarga xizmat ko‘rsatadi va xarid faoliyatida barqarorlik hamda mas’uliyatli ta’minot amaliyotlariga urg‘u beradi.
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Kompaniyadagi ish o‘rinlari

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.

PTPortugaliyaOfisdaTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi

Tavsif

  • 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.

Talablar

  • 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.

Imtiyozlar

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

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