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8 дней назад

Ontology Engineer

3 000 - 4 950€
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b1
Страна
Poland/Portugal/Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Ontology Engineer (Knowledge Graphs/AI): Building and maintaining ontology schemas, validation layers, and data transformation pipelines for a large-scale Knowledge Graph and Identity platform with an accent on RDF/OWL modeling, SHACL validation, SPARQL, Python, and PySpark. Focus on graph consistency, entity resolution, semantic enrichment, and processing high-volume behavioral data with Databricks.

Location: Poland, Portugal, or The Netherlands

Salary: EUR 3,000–4,950 gross per month; final compensation depends on experience, location, and professional growth.

Company

hirify.global is a global technology provider delivering data analytics and AI-powered solutions for organizations across multiple industries.

What you will do

  • Implement and extend RDF, RDFS, and OWL ontology schemas in a graph database.
  • Build and maintain SHACL validation shapes, identify data-quality issues, and support schema consistency checks.
  • Write SPARQL queries and graph traversals for data science and product use cases.
  • Develop PySpark and Databricks pipelines that transform TV viewership and web activity events into graph attributes.
  • Implement derivation logic, validate outputs before graph loading, and support incremental refresh processes.
  • Collaborate with senior ontology, data engineering, product, operations, and data science stakeholders on graph design and pipeline development.

Requirements

  • 2+ years of experience in knowledge graph development, semantic data modeling, ontology engineering, or a related field.
  • Practical knowledge of RDF, RDFS, OWL, and SPARQL, with experience using a triplestore or graph database.
  • Familiarity with SHACL or equivalent graph-data validation frameworks.
  • Strong Python skills, including testing, documentation, and production-quality code.
  • Understanding of data modeling, taxonomies, hierarchies, entity resolution, and data matching.
  • Bachelor’s degree in Computer Science, Information Science, Mathematics, or a related field; English at Intermediate+ level or above.

Nice to have

  • Experience with Amazon Neptune, Stardog, or another RDF-native triplestore.
  • Knowledge of PySpark and Databricks for large-scale event processing.
  • Experience with embedding models, vector search, semantic similarity, LLM APIs, or RAG for entity matching and ontology enrichment.
  • Background in media, entertainment, ad tech, identity resolution, probabilistic record linkage, or device graphs.

Culture & Benefits

  • Projects with organizations in FinTech, Healthcare, Retail, Telecom, and other industries.
  • Mentoring, onboarding support, professional development, and career growth opportunities.
  • Corporate training portal and compensation for professional certifications such as AWS and PMP.
  • Private health insurance and sports compensation depending on the employment type.
  • Additional annual-bonus opportunity of up to EUR 1,000 per month based on expertise and participation in company activities.

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