Knowledge Engineer (ID:3390)

Company : Stafide

Job Type : Full Time

Sweden

Number of Applicants

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000+

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Job Description - Knowledge Engineer (ID:3390)

As a Knowledge Engineer, you will:

Design, develop, and maintain knowledge graph solutions using Metaphactory.
Customize and extend Metaphactory capabilities to meet specific business and integration requirements.
Develop and manage graph -based data models using triplestore databases, preferably RDFox.
Implement and optimize rule -based reasoning and querying using Datalog.
Design and execute complex SPARQL queries to retrieve, manipulate, and analyze RDF data.
Ensure high performance, scalability, and reliability of knowledge graph systems.
Apply semantic web standards to support structured, interoperable data solutions.
Contribute to ontology modeling, validation, and vocabulary management.

What You Bring to the Table:

Strong hands -on experience with Metaphactory for knowledge graph development and management.
Practical experience working with triplestore databases, ideally RDFox.
Deep understanding of graph -based and semantic data models.
Advanced knowledge of SPARQL for querying RDF -based knowledge graphs.
Strong proficiency in Datalog for reasoning and query optimization.
Solid understanding of semantic web technologies, including RDF.
Experience using RDFS, OWL, SHACL, and SKOS for ontology modeling and validation.
A quality -driven mindset focused on performance optimization and scalability.

You Should Possess the Ability to:

Build and maintain scalable, high -performance knowledge graph systems.
Customize semantic platforms to support evolving business requirements.
Model complex domains using ontologies and controlled vocabularies.
Optimize queries and reasoning logic for efficiency and maintainability.
Translate business needs into semantic and graph -based solutions.

What We Bring to the Table:

Opportunities to work on advanced semantic and knowledge graph solutions.
Exposure to modern semantic technologies and industry standards.
A collaborative environment that values technical excellence and knowledge sharing.
Challenging problem spaces involving complex data relationships and reasoning.

Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Aswin Dhanvandhar

Phone: +31 20 369 0609 ; Extn :141

Email: [email protected]

LinkedIn:https://www.linkedin.com/in/aswin -dhanvandhar/

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Knowledge Engineer (ID:3390)

Job Description - Knowledge Engineer (ID:3390)

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