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Senior Consultant (knowledge graph)

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Onsite

Senior Consultant (knowledge graph)

ALTEN

Senior Consultant (knowledge graph)

Skills

Data MiningPythonJavaNeo4jComplianceRegulatory ComplianceRisk Management

5 days ago

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Important information


Contract type:

Permanent

Location:

Kraków, Poland

Work mode:

Onsite

Published on:

16 October 2026

What they need


We are currently seeking an experienced professional to join one of our clients in the role of Senior Consultant Specialist

In This Role, You Will:

  • Design, develop, and implement Knowledge Graph solutions using Ontologies, Labeled Property Graphs (LPG), and RDF graphs for Enterprise Metadata management
  • Define and maintain enterprise ontologies aligned with business domains and data architecture standards
  • Architect data models and graph schemas to support complex business use cases including data lineage and governance
  • Optimize graph queries and data retrieval mechanisms for performance and scalability
  • Collaborate with cross-functional teams to translate business requirements into scalable graph-based technical solutions
  • Implement data controls and risk mitigation solutions supporting regulatory compliance (BCBS 239, IRR, etc.)
  • Develop and maintain semantic web technologies using SPARQL, OWL, and RDF standards
  • Provide technical guidance and mentorship to development teams on Knowledge Graph best practices

To be successful in this role, you should meet the following requirements:

  • 7+ years of relevant technical experience in enterprise software development with strong focus on Knowledge Graph technologies
  • Deep expertise in Knowledge Graph technologies including Ontology design, LPG (Labeled Property Graphs), and RDF (Resource Description Framework)
  • Strong hands-on experience with graph databases such as Neo4j, Amazon Neptune, or RDF4J
  • Expert-level understanding of semantic web technologies including SPARQL, OWL, RDFS, and graph database optimization techniques
  • Extensive experience in metadata management, data lineage, data governance, and data quality frameworks
  • Strong experience in data modeling, schema design, and architecting complex graph-based solutions
  • Proficiency in programming languages such as Python or Java for graph data processing and querying
  • Experience with agile methodologies and understanding of software development lifecycle (SDLC) in enterprise environments

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