Senior Knowledge Graph Engineer — Remote AI for Sustainability

EcoVadis Inc; Barcelona; Híbrido; EUR 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Meals and Transportation Vouchers

Dental Benefits

Life & Accident Insurance

Descripción de la vacante

EcoVadis is seeking a hands-on Senior Knowledge Graph Engineer to operationalize domain ontologies into high-throughput graph systems. You will power autonomous AI agents addressing sustainability challenges, bridging unstructured disclosures with structured graphs, and building entity-resolution pipelines.

You will work with graph databases (Neo4j, Memgraph), NLP frameworks and ML tooling, integrating external ontologies, and optimizing performance for enterprise-scale data.

Formación

• Degree in Computer Science, Mathematics, Engineering, or a related technical discipline.
• 4+ years of production experience building and querying graph databases (LP-G) or RDF stores.

Responsabilidades

• Design, implement, and maintain high-speed GraphRAG ingestion pipelines transforming ERP/SQL, unstructured ESG reports, and streaming feeds into Graphs and RDF stores.
• Build automated Named Entity Recognition, entity linking, and deduplication workflows to resolve vendor profiles, SKUs, and coordinates.
• Implement automated ETL/ELT pipelines to map internal data with external ontologies and registries (GLEIF, SSN/SOSA, Copernicus, PROV-O).
• Develop low-latency GraphRAG retrieval layers with Cypher and SPARQL queries; create NL2Query tools for agents and MCP endpoints.
• Operationalize SHACL shapes into CI/CD data quality tests to prevent data mutations entering the knowledge graph.

Conocimientos

Graph databases

Python

NLP frameworks

Cloud technology

Cypher / SPARQL

Ontology engineering

Data pipelines

Knowledge graphs

Educación

Degree in Computer Science or related field

Herramientas

Neo4j

Memgraph

GraphDB

Stardog

Virtuoso

Descripción del empleo

EcoVadis is seeking a hands-on Senior Knowledge Graph Engineer to operationalize domain ontologies into high-throughput graph systems. You will power autonomous AI agents addressing sustainability challenges, bridging unstructured disclosures with structured graphs, and building entity-resolution pipelines.

You will work with graph databases (Neo4j, Memgraph), NLP frameworks and ML tooling, integrating external ontologies, and optimizing performance for enterprise-scale data.