Senior Knowledge Graph Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• Design, implement, and sustain high-speed GraphRAG ingestion pipelines that transform relational ERP/SQL data, unstructured ESG reports, and streaming feeds into operational Labeled Property Graphs and RDF Triple Stores.

• Develop automated Named Entity Recognition, entity linking, and deduplication workflows to reconcile mismatched vendor profiles, material SKUs, and facility coordinates into standardized graph nodes.

• Create automated ETL/ELT pipelines to map and integrate internal supply chain data with external open-source ontologies and registries.

• Collaborate with AI/ML Engineers to construct 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 within CI/CD pipelines.

• Enhance multi-hop query performance, graph partitioning, and database indexing for sub-second traversal across billions of nodes and edges.

• Utilize formal domain ontologies to implement high-throughput, multi-hop systems that support autonomous AI agents addressing sustainability challenges.

⛳️ Requirements

• A degree in Computer Science, Mathematics, Engineering, or a related technical discipline.

• Over 4 years of production experience in building and querying graph databases, particularly Labeled Property Graphs (Neo4j, Memgraph, TigerGraph) or RDF Triple Stores (GraphDB, Stardog, Virtuoso).

• Strong expertise in cloud technologies, preferably within the Azure ecosystem (e.g., Azure Foundry, Azure Bicep, AzureML, and Azure Cloud Storage).

• Advanced skills in Python (RDFLib, NetworkX, PyGraphistry) for creating scalable, production-grade data pipelines.

• Experience in developing entity extraction pipelines using contemporary NLP frameworks (LangChain, LlamaIndex, spaCy) or LLM-based structured extraction.

• Practical experience with modern data transformation tools (dbt) and integrating graph databases with vector stores (Qdrant, Pinecone, pgvector) for hybrid search architectures.

• Solid comprehension of semantic web standards (RDF, RDFS, OWL, SKOS, SHACL, RDF-star, SPARQL), graph schema design principles (T-Box vs. A-Box separation), and mapping languages (RML, R2RML).

• Experience with domain-specific supply chain, carbon accounting (GHG Protocol), or lifecycle assessment (LCA) data structures is advantageous.

• Direct experience in building Model Context Protocol (MCP) servers to present graph tools to LLM agents is a plus.

• Familiarity with enterprise OBDA approaches at scale is a plus.

• Must be eligible to work and reside in Spain.

• CV must be submitted in English.

🏝️ Benefits

• Provision of all necessary office and IT equipment.

• Flexible working hours.

• Wellness allowance for mental and physical health.

• Access to professional mental health support.

• Referral bonus program.

• Opportunities for learning and development.

• Participation in sustainability events and community engagement.

• Peer recognition program.

• Employee-led resource groups.

• Remote work policy for abroad locations.

• Meals and Transportation Vouchers (Coverflex card).

• Dental benefits.

• Life & Accident Insurance along with Private Health Insurance.

• Paid employee volunteer day.

• Paid moving day (once a year).

• Time off: 1 Community Service Day and 1 Personal Day.

• Summer Hours in July and August (36 hours per week).

• Hybrid Monthly Allowance for electricity and internet costs.