Scientific Data Product Manager - Nestlé Research
Description du poste
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
- 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
- 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
