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.