Job Title: Servicio Técnico para Soporte de Knowledge Graph EngineerLocation: Remote (Spain & Portugal)Duration: Permanent/ FreelanceDescription: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.