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Knowledge Graph Engineer

Madiff

Role overview

Qualifications

  • 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

Responsibilities

  • 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

Key facts

  • Remote from: Anywhere
  • Full time
  • English

Hard skills

Other skills

  • Communication
  • Collaboration

About the company

Madiff logo

Madiff

Artificial Intelligence & Machine Learning Services

We are an international Innovation, IT and high-tech engineering consulting company that delivers unique value in a wide variety of industries. Our mission is to add value to our customers businesses by providing digital and technological innovation services, delivering disruptive results and making our clients stand out in their market. We are driven by a creative and innovative consulting approach strongly oriented to getting results. We MAKE THE DIFFERENCE. Poland | UK | Switzerland | USA | Norway | Portugal | Spain | France | Singapore Warsaw Prosta 20 Wrocław Rybacka 7 Lublin Grottgera 2

Company details

IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

This is a remote position.

We are looking for an experienced Knowledge Graph Engineer to design and maintain the semantic intelligence layer behind an enterprise-grade Copilot. The role focuses on structuring domain knowledge so the Copilot retrieves information with precision, context, and full business understanding. Work spans ontology design, graph-based retrieval, semantic modelling, and enterprise data integration.

Responsibilities


  • 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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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