ci cdknowledge graphsgraph databasesrdfsparqlowlskossemantic technologiesshaclontology modelling
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Текст:
Hirify AI/Оригинал
TL;DR
Software Engineering Specialist (Knowledge Graph): Building and continuously improving knowledge graph solutions that connect high-quality product data, with an accent on semantic technologies, ontology models, RDF-based graphs, and scalable runtime implementations. Focus on translating ontologies into production systems, optimising SPARQL queries and reasoning logic, and designing reliable, maintainable graph solutions.
Location: Malmö, Sweden; presence with the team and working the majority of the time in the workplace are expected.
Company
hirify.global develops, produces and sells affordable products and services, while Inter hirify.global Group connects franchisees, range development and suppliers and supports the hirify.global Concept across markets.
What you will do
Build, maintain and improve knowledge graph solutions for connected, high-quality product data.
Translate ontology models into scalable runtime graph implementations that support business needs.
Collaborate with ontology modellers, data engineers and business experts on reasoning logic, inferencing capabilities and data pipelines.
Partner with the central hirify.global Knowledge Graph team and Inter hirify.global stakeholders to align standards, ways of working and technical solutions.
Develop, test and maintain reliable, scalable, production-ready software while promoting CI/CD, automated testing and agile practices.
Explore technologies and architectural patterns, contribute to solution design and prototyping, document solutions and share knowledge across teams.
Requirements
Degree in Computer Science, Software Engineering or a related field, combined with extensive hands-on software development experience.
Solid experience with semantic technologies and knowledge graph development in production environments.
Experience using ontology modelling standards including RDFS, OWL, SHACL and SKOS to create, maintain and validate semantic models and controlled vocabularies.
Ability to develop and manage RDF-based knowledge graphs with modelling tools such as Metaphactory, including adapting and extending solutions for business needs.
Experience with graph databases such as RDFox and graph-based data models for scalable and efficient data solutions.
Ability to design and optimise SPARQL queries and rule-based logic for data retrieval, inferencing and reasoning.
Ability to ensure performance, scalability and maintainability through continuous optimisation, software engineering principles, architectural thinking and design patterns.
Experience collaborating in agile, cross-functional product teams using DevOps practices and modern software engineering approaches.
Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders, share expertise and contribute as a specialist.
Nice to have
Experience working across multiple teams or capability areas as a specialist or subject matter expert.
Familiarity with the hirify.global brand, culture, values and ways of working.
Culture & Benefits
Work in cross-functional, agile teams with ownership, close collaboration and continuous improvement.
Contribute to digital products and platforms supporting the hirify.global franchise offer and connected value chain.
Work in an environment focused on simple, practical, scalable and low-cost solutions.
The recruitment process is internal and connected to organisational changes; impacted Inter hirify.global co-workers receive priority consideration after competence requirements are met.
Hiring process
Submit an application by 18 November at the latest; interviews may begin earlier for selected roles.
Contact Recruiter Calvin Blyth with questions or accommodation requests related to the recruitment process.
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