As part of our team, you will take on the following responsibilities: You are responsible for the operation, continuous development, and hardening of our enterprise‑wide PKI landscape (on‑premises and cloud).You design, implement, and operate Azure‑based PKI services, in particular Microsoft Cloud PKI and Microsoft Intune Certificate Lifecycle Management.You integrate certificate services into modern zero‑trust architectures.You develop and implement secure certificate and key management processes.You support the modernization of our identity and security infrastructure, especially in hybrid Azure environments.You work closely with security and infrastructure teams to establish secure and automated certificate workflows.You actively contribute to IT security projects and create security and architecture concepts.In close collaboration with the Group Information Security Office, you ensure compliance with regulatory and internal security requirements.You drive continuous process optimization, automation, and documentation.
You are responsible for the conceptual, logical, and structural integrity of our Core Data Model as well as the Gold Layer across Azure, Snowflake, and dbt.You ensure that fragmented data sources are transformed into consistent, reusable, and decision‑relevant data products, actively preventing the platform from drifting into team‑specific, incompatible models.You define and maintain central business objects, canonical dimensions, shared metrics, and facts, ensuring that the Core Data Model serves as a stable, business‑oriented foundation across all domains.You develop modeling standards, naming conventions, layering concepts (Staging → Intermediate → Gold), reuse patterns, and dbt design guidelines, and you ensure their consistent implementation across all teams.You safeguard the semantic consistency of the entire data model, resolve domain conflicts, ensure that identical business terms are modeled only once, and review changes affecting core layers.You act as the technical design authority for model changes in Snowflake/dbt, balancing local requirements with long‑term model coherence, and ensuring that all models remain performant, scalable, maintainable, and of high quality.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed.
Skills and Abilities: Ability to identify additional service/system requirements or shortfalls and co-ordinate and/or design the delivery of innovative solutions to maximise service quality, efficiency and continuity. Ability to ensure professional and quality service standards are maintained and applied within own area of activity.