Senior Knowledge Engineer

Bayer is a company with a Digital Hub in Warsaw focused on building data products and knowledge-driven solutions that enable analytics, AI, and scientific innovation across the organization. The role is situated at the intersection of Data Architecture, Knowledge Engineering, and AI Enablement.

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Knowledge Engineering, Computational Linguistics, or related field, or equivalent practical experience.
• Strong experience in data modelling (conceptual, logical, and physical).
• Experience in Data Architecture, Knowledge Engineering, Data Engineering, Metadata Management, or related disciplines.
• Experience with knowledge graphs, graph databases, semantic technologies, or metadata-driven architectures.
• Hands-on experience designing APIs and data integration solutions.
• Strong engineering background in data engineering, software engineering, cloud engineering, or platform engineering.
• Proficiency in at least one programming language.
• Familiarity with Git and collaborative software development practices.
• Strong analytical, communication, and stakeholder management skills.
• Ability to collaborate effectively across technical and business teams.

Preferred:

• Experience with graph database technologies such as Neo4j, Stardog, GraphDB, Amazon Neptune, TigerGraph, or similar platforms.
• Experience with ontology modelling, taxonomies, semantic modelling, or Semantic Web standards (e.g., RDF, OWL, SHACL, SPARQL).
• Experience with modern cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, AWS, Azure, or GCP.
• Familiarity with metadata management and data governance solutions.
• Experience designing AI-ready architectures, knowledge retrieval solutions, GraphRAG, RAG, or Agentic AI applications.
• Understanding of FAIR Data Principles, Linked Data concepts, Data Mesh, or comparable modern data architecture approaches.
• Familiarity with Elasticsearch or enterprise search technologies.
• Experience with CI/CD practices and DevOps tooling.
• Knowledge of data privacy, security, and regulatory requirements.
• Experience within Life Sciences, Healthcare, Pharmaceutical, or Research environments.

Data Architecture & Knowledge Modelling:

• Design and implement conceptual, logical, and physical data models.
• Develop semantic layers and knowledge representations that improve data discoverability and reusability.
• Build and evolve knowledge graph solutions, metadata-driven architectures, and semantic data products.
• Collaborate with domain experts to capture and formalize business knowledge into scalable data models.
• Ensure consistency, quality, and usability of enterprise data assets.

Data Integration & APIs:

• Design scalable integration patterns across diverse data sources and platforms.
• Develop data-oriented APIs and services that support analytical and AI-driven use cases.
• Enable interoperability between systems, applications, and intelligent agents.

AI & Knowledge Engineering:

• Contribute to AI-ready data architecture and semantic foundations for GenAI and Agentic AI use cases.
• Support implementation of knowledge retrieval and graph-based AI solutions.
• Evaluate emerging technologies in Data Management, Knowledge Engineering, Semantic AI, and Generative AI.

Engineering Excellence:

• Collaborate with engineering teams through code reviews and architecture discussions.
• Promote best practices related to software development, data engineering, and platform architecture.
• Contribute to continuous improvement of engineering standards and delivery practices.

Data Governance & Strategy:

• Support enterprise-wide data governance, metadata management, and data quality initiatives.
• Drive alignment between data architecture decisions and business objectives.
• Promote modern practices related to data sharing, accessibility, and responsible data usage.

Security & Compliance:

• Design solutions that protect enterprise data, ensuring confidentiality, integrity, and availability.
• Collaborate with security and governance teams to ensure compliance with relevant regulations and standards.

Informujemy, że administratorem danych jest Bayer Sp.z.o.o z siedzibą w Warszawie, ul. Aleje Jerozolimskie 158 (dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie. Odbiorcą danych jest serwis Just Join IT oraz inne podmioty, którym powierzyliśmy przetwarzanie danych w związku z rekrutacją.