Job Title:
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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. xqysrnh
Excellent communication skills for both technical and business audiences.