Overview

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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 / Beneficios

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

Responsabilidades

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

Requisitos principales

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 ecosyste

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