Senior Knowledge Graph Engineer

📋 Description

• Design and maintain high-speed GraphRAG ingestion pipelines from ERP/SQL to graph/RDF stores.
• Build NER, entity linking, and deduplication to unify vendor profiles and SKUs.
• ETL/ELT to federate internal data with external ontologies (GLEIF, SSN/SOSA, PROV-O).
• Collaborate on GraphRAG retrieval layers; optimize Cypher/SPARQL and NL2Query.
• Implement SHACL based data quality tests in CI/CD.
• Optimize multi-hop queries, partitioning, and indexing for billions of nodes.

🎯 Requirements

• Degree in Computer Science, Mathematics, Engineering, or related technical discipline.
• 4+ years production experience with graph DBs (Neo4j, Memgraph, TigerGraph) or RDF stores.
• Strong Azure cloud experience (Azure Foundry, Azure Bicep, AzureML and Azure Storage).
• Advanced Python (RDFLib, NetworkX, PyGraphistry) for scalable data pipelines.
• Experience with NLP frameworks (LangChain, LlamaIndex, spaCy) or LLM based extraction.
• dbt experience and integrating graph DBs with vector stores (Qdrant, Pinecone, pgvector).
• Semantic web standards: RDF/RDFS/OWL; SHACL; SPARQL.
• RML and R2RML mapping languages.

🎁 Benefits

• Hybrid in Warsaw and remote from Poland.
• Flexible working hours.
• Wellness allowance for mental and physical wellbeing.
• Access to professional mental health support.
• Learning and development opportunities.
• Multisport card.