Descripción de la oferta
Apply Your Magic with Us
Are you ready to explore, break barriers, and discover much more? We know you have big plans. So do we. Innovating with science and technology to enrich people's lives through solutions in Healthcare, Life Science, and Electronics is what inspires our colleagues worldwide. Together, we dream big and share a passion for caring for a diverse range of people, customers, patients, and the planet. That's why we always seek curious minds who imagine the never-before-seen with us.
United as One for Patients: Our goal in Healthcare is to help create, improve, and extend lives. We develop treatments, smart devices, and innovative technologies in therapeutic fields such as oncology, neurology, and fertility. Our teams collaborate across six continents with passion and relentless curiosity to support patients at every stage of life. Joining our Healthcare team means being part of a diverse, inclusive, and flexible work culture that offers fantastic opportunities for personal and professional development worldwide.
Your Role
Ready to shape the future of data in R&D? As a Working Student for Data Architecture you will support the team to design efficient, scalable data architectures and pipelines that enable analytics and AI across Pharmaceutical R&D. Based on communication with R&D stakeholders you will help translate functional requirements into technical concepts and implement components together with data engineers. You will gain hands‑on project experience across the R&D data value chain and work in a global, agile environment.
Key responsibilities
Support design and implementation of data models, data pipelines and ETL/ELT flows that feed reporting, analytics and AI solutions.
Assist in building and operating data repositories (e.g., Snowflake) and cloud-based data processing (AWS services) together with senior architects and engineers.
Collaborate with product owners, data engineers, business analysts and domain users to translate requirements and ensure correct solution delivery.
Help create and maintain architecture blueprints, standards, data dictionaries and best practices for the team.
Support automated CI/CD for data pipelines and integration tests (Azure DevOps / Git / warehouse automation tools).
Assist in data quality checks, basic troubleshooting and third‑level support tasks for R&D data systems.
Contribute to documentation, knowledge sharing and operational run‑books.
Experiences
Familiarity or exposure to Snowflake and AWS data services (Glue, Lambda, DMS) is expected; these are core to our Data & AI ecosystem.
Hands‑on or coursework knowledge of ETL/ELT concepts and tooling such as Informatica (PowerCenter / IICS) and warehouse automation tools (e.g., dbt, Coalesce) is a strong advantage.
Understanding of data modelling patterns, data flows and the end‑to‑end lifecycle from ingestion to consumption; experience with testing data integrations is beneficial.
Good SQL skills; basic Python experience is desirable.
Basic understanding of CI/CD concepts and experience (or interest) with Azure DevOps / Git for pipelines and deployments.
Fluent English and the ability to work in virtual, cross‑functional agile teams.
What We Offer
We are curious minds coming from a broad range of backgrounds, perspectives, and life experiences. We believe this diversity drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for everyone to develop and grow at their own pace. Join us to build a culture of inclusion and belonging that impacts millions and empowers everyone to champion human progress.
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