Senior Knowledge Graph Engineer

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EcoVadis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 Secondary Market on 2022-11

Consulting • Healthcare • Logistics

EcoVadis is a SaaS company that offers sustainability intelligence solutions for companies of any size and industry, focused on managing ESG risk, compliance, and corporate sustainability goals. The platform provides services like sustainability ratings, risk mapping, carbon management, and due diligence to help companies improve their sustainability performance. EcoVadis covers over 180 countries and 220 industries, offering detailed insights to support supply chain sustainability and compliance with global regulations. The company also provides resources such as the EcoVadis Learning Academy to help companies meet specific sustainability targets, including net-zero carbon goals. EcoVadis serves a broad range of industries, including finance, pharmaceuticals, consumer goods, and more.

📋 Description

• 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 • Build 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 • 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 • Optimize multi-hop query performance, graph partitioning, and database indexing strategies to handle sub-second traversal over billions of nodes and edges

🎯 Requirements

• 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 • Experience building entity extraction pipelines using modern NLP frameworks (LangChain, LlamaIndex, spaCy) or LLM-based structured extraction • 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 • Experience with enterprise OBDA approaches at-scale is a plus

🏖️ Benefits

• Support with all the necessary office and IT equipment • Flexible working hours • Wellness allowance for mental and physical wellbeing • Access to professional mental health support • Referral bonus policy • Learning and development • Sustainability events and community involvement • Peer recognition program • Employee-led resource groups • Optional (fully covered or co-financed) health care and life insurance • Multisport card • Multikafeteria • Lunch card • Hybrid work organization • Remote work from abroad policy • Internet and Electricity bill allowance • Additional day for community service when volunteering