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Knowledge Graph Engineer

Job not on LinkedIn

đź•’ October 12, 2025

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

đźź  Senior

👷🏻‍♀️ Engineer

đź‘» Ghost score 50%

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Logo of Madiff

Madiff

51 - 200 employees

Founded 2015

đź’Ľ Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Madiff is a technology and consulting company specializing in IT services and digital innovation. They provide a range of solutions, including software development, agile team services, and IT consulting across various industries. With a focus on delivering high-quality, multi-skilled remote teams, Madiff aims to enhance business performance and support clients in navigating the complexities of their respective markets.

đź“‹ Description

• Design ontologies and semantic models for complex domains (e.g., banking, advisory) • Build ETL pipelines from Microsoft Fabric into graph structures such as Neo4j or GraphRAG • Define nodes, relationships, metadata rules, and reasoning layers for precise retrieval • Optimise graph performance, indexing, and query execution at scale • Implement data quality controls to ensure accuracy and consistency of semantic structures • Collaborate with business experts to refine concepts and maintain domain correctness • Integrate the knowledge graph with Copilot retrieval flows and agent reasoning logic • Maintain an evolving semantic map aligned with real organisational processes

🎯 Requirements

• Strong experience with semantic modelling, ontology design, and knowledge representation • Hands-on experience with graph databases and graph-based retrieval methods • Solid engineering background across ETL development and data transformation • Ability to convert complex business logic into formalised graph structures • Strong communication skills and confidence working with domain experts • Technical experience with: Neo4j, GraphRAG, RDF-based graph systems • Microsoft Fabric, Spark, and modern ETL tooling • Python or TypeScript for ingestion and transformation • Vector-enabled retrieval frameworks and hybrid search strategies • Azure-based data services and enterprise integration patterns • Relevant certifications such as: Microsoft Azure Data Engineer (or equivalent) • Foundation in knowledge engineering or semantic modelling • Nice to have Advanced graph database training or certifications • Additional cloud certifications related to Azure data or AI services • Accreditation in ontology design or semantic web technologies

🏖️ Benefits

• Solid, competitive salary • Work in multinational environment on international projects • Comprehensive healthcare • Long-term B2B contract with stable project pipeline • Fully remote model

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