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4 дня назад

Data Scientist - European Agency (Semantic Data)

Формат работы
remote (только Hungary)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist - European Agency (Semantic Data): Designing and implementing semantic data, Linked Data, ontology, and knowledge graph solutions for heterogeneous information sources with an accent on interoperability, RDF-based transformations, and semantic validation. Focus on modelling ontologies, optimising SPARQL queries, building ETL/ELT pipelines, and validating data with SHACL.

Location: Remote; I. Kerület, Budapest, Hungary

Company

hirify.global is a digital transformation services company delivering international projects for clients across multiple sectors.

What you will do

  • Design and align semantic data models and ontologies, develop controlled vocabularies, and manage ontology lifecycles.
  • Design, maintain, and optimise knowledge graphs and SPARQL queries.
  • Develop ETL/ELT pipelines to ingest, transform, and publish data from relational databases, XML, JSON, CSV, and APIs into RDF environments.
  • Implement Linked Data solutions and semantic transformations using RDF standards and mapping technologies.
  • Translate business requirements into technical specifications and explain semantic data concepts to technical and non-technical stakeholders.

Requirements

  • Senior-level experience in data science, semantic data engineering, or a related field.
  • Expertise in semantic data, Linked Data, ontology engineering, and knowledge graphs.
  • Experience with RDF, RDFS, OWL, SKOS, SHACL, JSON-LD, Turtle, and RDF/XML.
  • Experience with SPARQL, knowledge graph modelling and optimisation, and platforms such as QLever, Virtuoso, or GraphDB.
  • Experience with ontology alignment, vocabulary design, ontology lifecycle management, and semantic modelling.
  • Python and ETL/ELT experience, including data ingestion and transformation from relational, XML, JSON, CSV, and API sources.
  • Knowledge of RML, semantic data validation, RDF mappings, and Linked Data interoperability.

Culture & Benefits

  • Remote work and a collaborative work environment.
  • High-impact international project supporting European institutions and agencies.
  • Career plan and training plan.
  • Flexible remuneration.

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