Senior Knowledge Graph Engineer

• Design, implement, and maintain high-speed GraphRAG ingestion pipelines transforming relational ERP/SQL data, unstructured ESG reports, and streaming feeds into operational Labeled Property Graphs and RDF Triple Stores
• Build automated Named Entity Recognition, entity linking, and deduplication workflows to resolve mismatched vendor profiles, material SKUs, and facility coordinates into canonical graph nodes
• 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, optimized Cypher and SPARQL queries, NL2Query tools, hybrid vector-graph indexing pipelines, and MCP tool endpoints for autonomous LLM agents
• Operationalize SHACL shapes as automated data-quality tests in CI/CD pipelines
• Optimize multi-hop query performance, graph partitioning, and database indexing for sub-second traversal over billions of nodes and edges
• Use formal domain ontologies to operationalize high-throughput, multi-hop systems powering autonomous AI agents for sustainability challenges

• 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 (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
• Eligible to work and live in Spain
• CV submitted in English

• 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