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.