Ontology Engineer

**Czym będziesz się zajmować?** **Andersen** is hiring an **Ontology Engineer** for a project building a large scale Knowledge Graph and delivering AI-powered data and identity solutions.  **The company** is a global technology provider delivering data analytics and AI-powered solutions that help organizations better understand customer behavior, optimize marketing performance, and make informed business decisions. **Responsibilities:** * Implementing and extending RDF/RDFS/OWL ontology schemas in the graph database - adding entity classes, properties. * Building and maintaining SHACL validation shapes for post-load graph consistency checks. * Contributing to the event-to-ontology transformation and derivation layer - building PySpark/Databricks pipelines that aggregate raw TV viewership. * Implementing derivation logic specified by the Senior Ontologist and data science team. * Writing production-quality Python - clean, well-tested, documented, and reusable by teammates.  * Working with PySpark and Databricks to process and transform high-volume data as part of graph pipeline development.  * Actively developing expertise in W3C semantic web standards, RDF-native graph databases. Your personal data is protected in accordance with GDPR regulations. Learn more: Prosimy o zapoznanie się z Polityką Prywatności firmy Andersen.  Join us!   **Kogo poszukujemy?** **Must-haves:** * Implementing and extending Samba's RDF/RDFS/OWL ontology schemas in the graph database - adding entity classes, properties, and constraints in a consistent. * Building and maintaining SHACL validation shapes for post-load graph consistency checks. * Writing efficient, well-structured SPARQL queries and graph traversals to support downstream data science. * Working with PySpark and Databricks to process and transform high-volume data as part of graph pipeline development.  * Applying embedding-based approaches (semantic similarity, vector search). * Actively developing expertise in W3C semantic web standards, RDF-native graph databases. **Nice-to-haves:** * Hands-on experience with Amazon Neptune or Stardog - or equivalent RDF-native triplestore; exposure to data virtualization (Neptune Orion or Stardog Virtual Graphs). * Working knowledge of PySpark and Databricks - particularly for large-scale event aggregation and transformation pipelines. * Familiarity with embedding models, vector search, or semantic similarity - applied to entity matching, ontology alignment, or knowledge graph enrichment. * Experience with LLM APIs or RAG-based approaches applied to information extraction, entity disambiguation, or schema mapping. **Czego wymagamy?** Mile widziane: * GraphQL * semantic * Python * ontology Języki: * Angielski * Polski (mile widziane) **Jakie warunki i benefity otrzymasz?** * 10k–13.5k PLN brutto/m (Umowa o pracę) * Umowa o pracę - Stałe godziny pracy (100%) * Praca zdalna: Brak * Pakiet medyczny, Ubezpieczenie, Pakiet sportowy * Kawa / Herbata **Kim jesteśmy?** **Andersen** – your global software development partner Andersen is a global software development company with over 18 years of experience supporting businesses worldwide in their digital transformation. Headquartered in Poland, we operate development centers across Germany, the USA, the UK, Lithuania, Hungary, Kazakhstan, Georgia, Azerbaijan, Cyprus, and the UAE, enabling us to deliver high-impact solutions close to our customers. We offer end-to-end IT services — from custom software development, API integration, and system architecture to legacy modernization and long-term support. With deep technical expertise and a focus on business value, we build tailored, scalable, and secure digital products. Harnessing the power of AI, Machine Learning, Data Science, Big Data, and Visual Technologies, we create intelligent, future-ready solutions that support digital transformation and solve real-world business problems.