8 дней назад
Ontology Engineer
3 000 - 4 950€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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