Senior Knowledge Graph Engineer

EcoVadis

Senior Knowledge Graph Engineer at EcoVadis operationalizing AI solutions for sustainability challenges. Making enterprise data agent-ready and building innovative knowledge graph systems.

Posted 7/29/2026full-timeRemote • Barcelona • 🇪🇸 SpainSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing high-speed data ingestion pipelines and automated workflows, with a strong focus on graph databases and cloud technologies. Proficient in Python and modern NLP frameworks for building scalable data solutions and optimizing query performance.

Highest-signal resume keywords

Graph Database DevelopmentCloud Technology (Azure)Python Programming (RDFLib, NetworkX)NLP Frameworks (LangChain, spaCy)Data Transformation Tools (dbt)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Graph Database QueryingEntity Extraction PipelinesAutomated ETL/ELT PipelinesData Quality TestingGraph Schema DesignMulti-hop Query OptimizationDatabase Indexing StrategiesSemantic Web Standards (RDF, SPARQL)Model Context Protocol (MCP)Hybrid Search Architectures

Tools & Technologies

Neo4jMemgraphTigerGraphGraphDBStardogVirtuosoAzure FoundryAzureMLQdrantPinecone

Industry Keywords

Supply Chain DataCarbon AccountingLifecycle AssessmentOpen-source OntologiesData Federation

Tech Stack

Tools & technologies

AzureCloudETLNeo4jPython

About the role

Key responsibilities & impact

Design, implement, and maintain high-speed GraphRAG ingestion pipelines
Build automated Named Entity Recognition (NER), entity linking, and deduplication workflows
Implement automated ETL/ELT pipelines to map and federate internal supply chain data with external, open-source ontologies and registries
Partner with AI/ML Engineers to build low-latency GraphRAG retrieval layers
Operationalize SHACL shapes into automated data quality tests within CI/CD pipelines
Optimize multi-hop query performance, graph partitioning, and database indexing strategies

Requirements

What you’ll need

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

Comp & perks

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
Remote work from abroad policy
Meals and Transportation Vouchers (Coverflex card)
Dental Benefits
Life & Accident Insurance + Private Health Insurance
Paid employee volunteer day
Paid moving day (1/year)
Time off: 1 Community Service Day + 1 Personal Day
Summer Hours in July and August (36 hours per week)
Hybrid Monthly Allowance for electricity and Internet