Experteer Overview
As Senior Knowledge Graph Engineer, you will operationalize domain ontologies into high-throughput graph systems powering autonomous AI agents for sustainability challenges. You’ll bridge unstructured disclosures and structured graphs, building scalable pipelines and entity resolution to create enterprise-ready data. You’ll collaborate across AI and data teams to enable real-time insights in decarbonisation, sustainable procurement, and supply chain resilience. This role offers hands-on impact at the AI Center of Excellence shaping how EcoVadis uses AI for global sustainability.

Compensaciones / Ventajas
• Design, implement, and maintain high-speed GraphRAG ingestion pipelines for relational, unstructured, and streaming data into labeled property graphs and RDF stores
• Develop automated NER, linking, and deduplication workflows to resolve vendor profiles, SKUs, and coordinates into canonical graph nodes
• Enable semantic federation by ETL/ELT pipelines to map internal data with external ontologies and registries (GLEIF, W3C SSN/SOSA, Copernicus, PROV-O)
• Collaborate to build low-latency GraphRAG retrieval layers, write optimized Cypher and SPARQL queries, and support NL2Query for agents
• Operationalize SHACL shapes in CI/CD data quality tests to prevent non-compliant data mutations




• Optimize multi-hop query performance, partitioning, and indexing for sub-second traversal over billions of nodes and edges

Responsabilidades
• Degree in Computer Science, Mathematics, Engineering, or related technical discipline
• 4+ years of production experience with graph databases (Neo4j, Memgraph, TigerGraph) or RDF stores (GraphDB, Stardog, Virtuoso)
• Strong cloud experience, preferably Azure ecosystem
• Advanced Python (RDFLib, NetworkX, PyGraphistry)
• Experience with NLP frameworks for entity extraction (LangChain, LlamaIndex, spaCy) or LLM-based extraction
• Experience with dbt and integrating graphs with vector stores (Qdrant, Pinecone, pgvector) for hybrid search
• Solid knowledge of semantic web standards (RDF, RDFS, OWL, SKOS, SHACL, SPARQL) and data modeling (RML, R2RML)
• Experience with domain-specific supply chain, carbon accounting (GHG Protocol), or lifecycle data is a plus
• Experience building MCP servers to expose graph tools to LLM agents is a plus
• Experience with enterprise OBDA approaches at scale is a plus

Requisitos principales
• Remote work from Spain
• Flexible working hours
• Wellness allowance
• Mental health support
• Learning and development
• Private Health Insurance

📌 Senior Knowledge Graph Engineer (Barcelona)
🏢 Ecovadis
📍 Barcelona