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.

• Develop automated workflows for Named Entity Recognition (NER), entity linking, and deduplication.

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

• Collaborate with AI/ML Engineers to establish low-latency GraphRAG retrieval layers.

• Operationalize SHACL shapes into automated data quality assessments within CI/CD pipelines.

• Enhance multi-hop query performance, graph partitioning, and database indexing techniques.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related technical field.

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

• Extensive experience with 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 developing scalable, production-level data pipelines.

• Familiarity with building 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 storage solutions (Qdrant, Pinecone, pgvector) for hybrid search architectures.

• Strong knowledge of semantic web standards (RDF, RDFS, OWL, SKOS, SHACL, RDF-star, SPARQL), principles of graph schema design (T-Box vs. A-Box separation), and mapping languages for heterogeneous data structures (RML, R2RML).

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

• Direct experience in creating Model Context Protocol (MCP) servers to make graph tools accessible to LLM agents is beneficial.

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

🏝️ 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 activities.

• Peer recognition program.

• Employee-led resource groups.

• Policy for remote work from abroad.

• Meals and Transportation Vouchers (Coverflex card).

• Dental benefits.

• Life & Accident Insurance plus Private Health Insurance.

• Paid employee volunteer day.

• Paid moving day (once per year).

• Time off includes 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 expenses.