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Job Title: Servicio Técnico para Soporte de Knowledge Graph Engineer Location: Remote (Spain & Portugal) Duration: Permanent/ Freelance Description: We are seeking an experienced Knowledge Graph Engineer with deep expertise in semantic data modeling and advanced Neo4j data engineering for highly complex datasets. The role involves designing and implementing ontology-driven models, productionalizing graph and AI digital products, and applying semantic enrichment principles. Familiarity with RDF/OWL standards , triplestore technologies, and hands-on Python development is essential. The ideal candidate thrives in an agile environment and collaborates effectively with cross-functional teams to deliver scalable solutions. Service Overview: This position focuses on designing, developing, and deploying knowledge graph solutions using modern graph technologies and semantic frameworks. Responsibilities include building robust graph-based architectures, integrating semantic models, and ensuring seamless interaction with AI-driven components. The role also involves working with infrastructure architecture, optimizing data pipelines, and implementing best practices for scalability and security. Responsibilities: Design and implement advanced knowledge graph and semantic data models for complex datasets. Develop and optimize graph-based solutions using Neo4j and related technologies. Productionalize graph and AI-driven digital products for enterprise-scale environments. Apply RDF/OWL standards , ontology-driven modeling principles, and semantic enrichment techniques. Work with triplestore technologies such as GraphDB or Amazon Neptune . Build and maintain data pipelines and integration layers using Python . Collaborate with solution architects to ensure scalable and secure infrastructure. Communicate technical concepts clearly to engineers, tech leads, and business stakeholders. Qualifications: Must Have: 10+ years of experience in knowledge graph/data modeling. Advanced expertise in Neo4j data modeling and data engineering. Hands-on experience with productionalizing graph and AI digital products. Strong understanding of RDF, OWL, triplestores , semantic modeling, and ontology-driven principles. Proficiency in Python for data engineering and automation. Good understanding of infrastructure architecture. Nice to Have: Hands-on experience with GraphDB or Amazon Neptune . Experience as a solution architect. Supply Chain domain experience. Familiarity with semantic enrichment concepts. Excellent communication skills for both technical and business audiences.
