Knowledge Graph Engineer
hace 2 semanas
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.
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