ppWork smart, have fun and make an impact! /p /brpEcoVadis 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. /p /brh3Why apply to EcoVadis? /h3 /brpBe a part of the integral sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution. /p /brpLearn more about our team and culture on EcoVadis careers page. /p /brh3Job Description /h3 /brpWe 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. In this role, you will take the formal domain ontologies designed by our Knowledge Representation Architects and operationalize them into high-throughput, multi‑hop systems. We welcome applications from European locations, with the possibility of remote work. Join us! /p /brpYour work will directly power autonomous AI agents that solve complex sustainability challenges — including decarbonisation, sustainable procurement compliance, and supply chain resilience. You will bridge the gap between unstructured sustainability disclosures and structured graph databases, building entity‑resolution pipelines that make enterprise data agent‑ready. /p /brh3Your responsibilities will include (but will not be limited to): /h3 /brul /brliGraph Infrastructure and Ingestion Pipelines /li /brliDesign, 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 /li /brliA-Box Instantiation and Entity Resolution /li /brliBuild automated Named Entity Recognition (NER), entity linking, and deduplication workflows to resolve mismatched vendor profiles, material SKUs, and facility coordinates into unified canonical graph nodes /li /brliSemantic Federation and External Data Integration /li /brliImplement 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) /li /brliGraphRAG and Agent Tooling /li /brliPartner 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 /li /brliDeterministic Guardrails and Pipeline Validation /li /brliOperationalize 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 /li /brliPerformance Optimization and GraphOps /li /brliOptimize multi-hop query performance, graph partitioning and database indexing strategies to handle sub-second traversal over billions of nodes and edges /li /br /ul /brh3Qualifications /h3 /brul /brliDegree in Computer Science, Mathematics, Engineering, or a related technical discipline /li /brli4+ years of production experience building and querying graph databases, specifically Labeled Property Graphs (Neo4j, Memgraph, TigerGraph) or RDF Triple Stores (GraphDB, Stardog, Virtuoso) /li /brliStrong experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Foundry, Azure Bicep, AzureML and Azure Cloud Storage) /li /brliAdvanced proficiency in Python (RDFLib, NetworkX, PyGraphistry) for building scalable, production‑grade data pipelines /li /brliExperience building entity extraction pipelines using modern NLP frameworks (LangChain, LlamaIndex, spaCy) or LLM‑based structured extraction /li /brliHands‑on experience with modern data transformation tools (dbt) and integrating graph databases with vector stores (Qdrant, Pinecone, pgvector) for hybrid search architectures /li /brliSolid 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) /li /brliExperience working with domain‑specific supply chain, carbon accounting (GHG Protocol), or lifecycle assessment (LCA) data structures is a plus /li /brliDirect experience building Model Context Protocol (MCP) servers to expose graph tools to LLM agents is a plus /li /brliExperience with enterprise OBDA approaches at‑scale is a plus /li /br /ul /brh3Additional Information /h3 /brul /brliOffer available only for candidates eligible to work and live in Spain /li /brliLocation: Hybrid in Barcelona (4 days per month in the office) / Full remote from Spain /li /br /ul /brh3In return for your expertise, we offer:



/h3 /brul /brliSupport with all the necessary office and IT equipment /li /brliFlexible working hours /li /brliWellness allowance for mental and physical wellbeing /li /brliAccess to professional mental health support /li /brliReferral bonus policy /li /brliLearning and development /li /brliSustainability events and community involvement /li /brliPeer recognition program /li /brliEmployee‑led resource groups /li /brliRemote work from abroad policy /li /brliMeals and Transportation Vouchers (Coverflex card) /li /brliDental Benefits /li /brliLife Accident Insurance + Private Health Insurance /li /brliPaid employee volunteer day /li /brliPaid moving day (1/year) /li /brliTime off: 1 Community Service Day + 1 Personal Day /li /brliSummer Hours in July and August (36 hours per week) /li /brliHybrid Monthly Allowance for electricity and Internet /li /br /ul /brh3We’re interested in hiring from a diverse and skilled talent pool, regardless of professional and educational background. /h3 /brpCan the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long‑term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know. /p /brh3Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. /h3 /brpEcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. 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). /p /brh3Our recruitment processes do not include AI systems that make autonomous decisions impacting individuals’ rights without human oversight. /h3 /brpInputs 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. AssessFirst is used to support talent assessment decisions. /p /p #J-18808-Ljbffr

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