Overview
In this role you will design, build and optimize robust data pipelines and architectures to support Nestlé Research projects. You will enable data-driven scientific work by delivering scalable, high-quality, secure data infrastructure across diverse domains. You will collaborate with cross-functional teams to accelerate delivery and ensure governance and compliance. This position offers the chance to shape data capabilities in a global research environment and work on impactful, interdisciplinary problems.
Leistungen / Benefits
- Flexible working arrangements
- culture of respect, diversity, equity and inclusion
- dynamic international environment
- opportunity to learn, develop and grow
Verantwortungsbereiche
- Design and implement end-to-end scientific data pipelines for domains like Bioinformatics, Clinical, or Omics
- Develop and deploy scalable data architectures on premise (Linux) or in the cloud with strong performance and governance
- Onboard external developers and collaborate with internal data specialists to accelerate priority projects
- Work in cross-functional project teams to define objectives and select appropriate technical approaches
- Partner with teams to gather requirements, improve data quality, metadata management, and data discoverability
Zentrale Anforderungen
- 7+ years in designing and implementing data pipelines and architectures in a research or scientific context
- Familiarity with software engineering practices and development frameworks (Scrum, Agile, DevOps)
- Solid data modeling, ETL/ELT, and distributed data systems
- Proficiency in Python and SQL
- Experience with DevOps tool stacks (Git, CI/CD)
- Experience with cloud platforms (Azure, AWS) and orchestration tools (Airflow, Azure Data Factory)
- Experience with data lake and data warehouse technologies (Snowflake, Databricks)
- Linux experience and container technologies (OpenShift, Docker, Podman)
- Experience with Bioinformatics or Clinical or Omics data pipelines
- Familiarity with data analysis, machine learning capabilities, and agentic architecture frameworks
- Experience collaborating with external teams and leading project streams
- Mentoring experience for junior resources and interns
- Excellent problem-solving, communication, stakeholder management, and knowledge sharing
- Fluent English (spoken and written)
- problem-solving
- communication
- stakeholder management
- Python
- SQL
- Git
Scientific Data Product Manager - Nestlé Research in Lausanne Arbeitgeber: Nestlé
Nestlé in Frankfurt bietet dir die Möglichkeit, in einem dynamischen Umfeld zu arbeiten, das Kreativität und analytisches Denken fördert. Mit modernster Büroausstattung, einer zentralen Lage und einem starken Fokus auf persönliche Entwicklung durch Coaching und regelmäßige Praktikantenrunden, bist du Teil eines großen Netzwerks, das dir hilft, wertvolle Kontakte zu knüpfen. Zudem sorgen wir für eine faire Vergütung und ein angenehmes Arbeitsklima, in dem du deine Ideen einbringen und die Zukunft der Ernährung mitgestalten kannst.
