EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.
Be a part of the general sustainability change in business. We are looking for a hands‑on, production-focused Senior Knowledge Graph Engineer to join our growing AI Center of Excellence, responsible for using AI and machine learning to drive innovation across the organization. We welcome applications from European locations, with the possibility of remote work. You will bridge the gap between unstructured sustainability disclosures and structured graph databases, building entity‑resolution pipelines that make enterprise data agent‑ready.
Design, implement, and maintain high‑speed GraphRAG ingestion pipelines that transform relational data (ERP, SQL), unstructured ESG reports, and streaming feeds into operational Labeled Property Graphs (Neo4j, Memgraph) and RDF Triple Stores
Semantic Federation and External Data Integration
Implement automated ETL/ELT pipelines to map and federate internal supply chain data with external, open‑source ontologies and registries (such as GLEIF for corporate ownership, W3C SSN/SOSA for IoT sensors, and Copernicus for geo‑hazard alerts, PROV‑O for data provenance)
Partner with AI/ML Engineers to build low‑latency GraphRAG retrieval layers—writing optimized Cypher and SPARQL queries, implementing NL2Query tools for agents, hybrid vector-graph indexing pipelines, and Model Context Protocol (MCP) tool endpoints for autonomous LLM agents
Operationalize SHACL (Shapes Constraint Language)



shapes into automated data quality tests within CI/CD pipelines to prevent hallucinated or non‑compliant data mutations from entering the enterprise knowledge graph
Performance Optimization and GraphOps
Optimize multi-hop query performance, graph partitioning and database indexing strategies to handle sub-second traversal over billions of nodes and edges
Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
~4+ years of production experience building and querying graph databases, specifically Labeled Property Graphs (Neo4j, Memgraph, TigerGraph) or RDF Triple Stores (GraphDB, Stardog, Virtuoso)
~ Strong experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Foundry, Azure Bicep, AzureML and Azure Cloud Storage)
~ Advanced proficiency in Python (RDFLib, NetworkX, PyGraphistry) for building scalable, production‑grade data pipelines
~ Hands‑on experience with modern data transformation tools (dbt) and integrating graph databases with vector stores (Qdrant, Pinecone, pgvector) for hybrid search architectures
~ Solid understanding of semantic web standards (RDF, RDFS and OWL, SKOS, SHACL, RDF‑star, SPARQL), graph schema design principles (T‑Box vs. A‑Box separation), and mapping languages for dealing with heterogeneous data structures (RML, R2RML)




~ Experience working with domain‑specific supply chain, carbon accounting (GHG Protocol), or lifecycle assessment (LCA) data structures is a plus
~ Direct experience building Model Context Protocol (MCP) servers to expose graph tools to LLM agents is a plus
~ Location: Hybrid in Barcelona (4 days per month in the office) / Full remote from Spain
Support with all the necessary office and IT equipment
Flexible working hours
Remote work from abroad policy
Dental Benefits
Life & Accident Insurance + Private Health Insurance
Summer Hours in July and August (36 hours per week)
Hybrid Monthly Allowance for electricity and Internet
We’re interested in hiring from a diverse and skilled talent pool, regardless of professional and educational background.
We welcome applications from disabled people, people with long‑term health conditions, and neurodiverse candidates. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).
Inputs and outputs of the system have been validated by humans and answers are based on algorithms that analyze previous data with which the system has been trained. We use SmartRecruiters as our applicant tracking system and to schedule interviews. Gemini is used to summarize notes from interviews and to refine job descriptions and social media messaging.

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