Senior Knowledge Graph Engineer, AI Pipelines

Ecovadis; Barcelona; Híbrido; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid in Barcelona (4 days/mo in the.

Descripción de la vacante

EcoVadis is seeking a hands-on Senior Knowledge Graph Engineer to join our AI Center of Excellence. You will operationalize domain ontologies into high-throughput, multi-hop systems powering autonomous AI agents for sustainability challenges.

You will design and maintain GraphRAG ingestion pipelines, implement entity resolution, and integrate external ontologies while collaborating with AI/ML engineers to optimize Cypher and SPARQL queries and ensure data quality in CI/CD pipelines.

Formación

• 4+ years of production experience with graph databases (LP Graphs or RDF stores).
• Strong Python proficiency for building scalable data pipelines.
• Experience with NLP frameworks and LLM-based extraction is a plus.

Responsabilidades

• Design and implement GraphRAG ingestion pipelines from ERP/SQL, ESG reports, and streaming feeds.
• Perform entity resolution to unify vendor profiles, SKUs and coordinates.
• Integrate external ontologies and run automated ELT/ETL to federate data sources.
• Collaborate with AI/ML engineers on Cypher, SPARQL, and MCP tooling for LLM agents.
• Ensure data quality and governance in CI/CD pipelines.

Conocimientos

Graph databases

Python

Entity resolution

NL2Query

Cypher

SPARQL

NER

LangChain

spaCy

RDF/OWL

MCP

GraphRAG

Educación

Degree in CS/Math/Engineering

Herramientas

Neo4j

Memgraph

TigerGraph

dbt

Qdrant

Pinecone

pgvector

RDFLib

Descripción del empleo

EcoVadis is seeking a hands-on Senior Knowledge Graph Engineer to join our AI Center of Excellence. You will operationalize domain ontologies into high-throughput, multi-hop systems powering autonomous AI agents for sustainability challenges.

You will design and maintain GraphRAG ingestion pipelines, implement entity resolution, and integrate external ontologies while collaborating with AI/ML engineers to optimize Cypher and SPARQL queries and ensure data quality in CI/CD pipelines.