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Knowledge Graph and Semantic Engineer
Published on: 1754956800

What you'll do

  • Design, model, and implement property graphs using Neo4j, Cypher, and related tools.
  • Develop semantic data models leveraging RDF, OWL, SHACL, and SPARQL.
  • Build and maintain Python-based data pipelines, REST APIs, and automation scripts.
  • Translate business requirements into robust ontology-driven knowledge graphs.
  • Deliver graph or semantic web solutions from concept to production deployment.
  • Collaborate with Agile teams, engaging both technical and non-technical stakeholders.
Closes in 24 days!

Location:

Salary:

What we're looking for (must have)

  • Proven hands-on experience with Neo4j, Cypher, and property graph modeling.
  • Proficiency in RDF, OWL, SHACL, SPARQL, and semantic web technologies.
  • Strong Python programming skills for data integration and automation.
  • Experience delivering end-to-end graph or semantic web projects in production.
  • Strong communication skills and ability to work in Agile environments.
  • Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's preferred).

 

Nice to have

  • Experience with semantic graph platforms (GraphDB, Stardog, Amazon Neptune).
  • Familiarity with ontology tools (Protégé, VocBench, TopBraid).
  • Knowledge of graph-based AI/ML use cases (embeddings, reasoning, LLM integration).
  • Understanding of data governance, metadata, and FAIR principles.
  • Experience with industrial/manufacturing data from ERP, MES, IoT, or Cognite Data Fusion.

Why join us?

  • Work on cutting-edge graph and semantic web projects.
  • Collaborate with an expert, cross-functional team.
  • International projects.
  • Private medical insurance
  • Multisport Card

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