Overview
In this role you will operationalize domain ontologies into high-throughput graph systems powering autonomous AI agents solving sustainability challenges. You’ll bridge unstructured disclosures with structured graphs and build scalable ingestion and entity-resolution pipelines. You’ll enable semantic federation with external data and optimize performance for sub-second traversals at scale. You work closely with AI/ML engineers to drive practical, data-driven sustainability solutions.
Compensaciones / Incentivos
Flexible working hours
Wellness allowance
Mental health support
Remote work from abroad policy
Dental Benefits
Life & Accident Insurance + Private Health Insurance
Responsabilidades
Design and maintain high-speed GraphRAG ingestion pipelines converting ERP, SQL, unstructured ESG reports, and streaming data into labeled property graphs and RDF stores
Build automated NER, entity linking, and deduplication workflows to unify vendor profiles, SKUs, and coordinates into canonical graph nodes




Implement automated ETL/ELT pipelines to federate internal supply chain data with external ontologies and registries (GLEIF, W3C SSN/SOSA, Copernicus, PROV-O)
Develop low-latency GraphRAG retrieval layers, write Cypher and SPARQL queries, and create NL2Query tools for autonomous LLM agents
Operationalize SHACL shapes into automated data quality tests in CI/CD to prevent data mutations in the graph
Optimize multi-hop queries, graph partitioning, and indexing for sub-second traversal over billions of nodes and edges
Collaborate with AI/ML engineers to integrate graph databases with vector stores for hybrid search architectures
Ensure alignment with enterprise OBDA approaches and scalable graph tooling
Requisitos principales
~ Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
~4+ years of production experience with graph databases (Neo4j, Memgraph, TigerGraph) or RDF stores (GraphDB, Stardog, Virtuoso)
~ Strong cloud experience (Azur

📌 Senior Information Technology Engineer (Barcelona)
🏢 Jobrapido
📍 Barcelona