Sr Specialist Scientific Data Engineering, Lausanne

Strategic Research Operations Welcome to Nestlé Research, a global organization, with most of our passionate team located in Lausanne, Switzerland! Our work is powered by five specialized Nestlé Institutes and key strategic units. Here, we embrace fresh thinking and collaborate to create amazing solutions. How about taking a step inside our organization and discover the exciting research activities and expertise that drive us forward? Want to learn more!

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Position Snapshot Location: Nestlé Research, Lausanne, Switzerland

Business Unit: Strategic Research Operations, Computational Science Department

Company: Société des Produits Nestlé S.A.

Act. Rate: Full-Time Act. Rate 100%

Type of contract: Permanent

What We Offer At Nestlé

Exciting opportunities to develop your career your way

Flexible working arrangements - facilitating creativity and collaboration.

A culture of respect, with diversity, equity and inclusion at its core.

A dynamic international environment empowering you to learn, develop and grow.

Position Summary Within our Computational Sciences department, as a

Senior Specialist Scientific Data Engineering

you will be responsible for delivering advanced data engineering capabilities to support Nestlé Research projects. Your main objective will be to design, build, and optimize robust data pipelines and architectures that enable efficient data access, integration, and analysis across diverse scientific domains (e.g., plant sciences, clinical research, and pet health and nutrition). You will play a key role in enabling data-driven research by ensuring high-quality, scalable, and secure data infrastructure.

A Day in the Life of a Senior Specialist Scientific Data Engineering

Design and implement end-to-end scientific data pipelines, e.g. for Bioinformatics or Clinical or Omics, including data ingestion, transformation, storage, and analytics layers, tailored to scientific research use cases.

Develop and deploy scalable data architectures on premise (Linux) or cloud platforms, ensuring performance, reliability, and compliance with data governance standards.

Onboard and drive external developers as well as team up with other internal data specialists (data architects, data scientists, AI engineers, software developers…) to accelerate delivery in priority projects.

Work in cross-functional project teams in a research environment to define project objectives and deliverables, evaluate the need and identify the right technical approaches to solve business need.

Partner with other teams to gather functional requirements, and improve data quality, metadata management, and data discoverability.

What Will Make You Successful

Bachelors or Master’s or PhD in Bioinformatics, or Computer Science combined with life sciences or a related field

Significant professional experience - 7+ years - in designing and implementing data pipelines and architectures, in a research or scientific context, ideally in food or pharma industry

Proficiency in data modeling, ETL/ELT processes, and distributed data systems.

Proficiency in Python and SQL for data manipulation and pipeline development.

Solid experience with cloud platforms (e.g., Azure) and orchestration tools (e.g., Airflow, ADF).

Solid experience with data lake and data warehouse technologies (e.g., Snowflake, DBT).

Experience working with Linux and container technologies (e.g., Openshift, Docker, Podman).

Experience with development frameworks (e.g., Agile, DevOps, Git, CI/CD).

Experience with Bioinformatics or Clinical or Omics data pipelines

Experience coding with AI assistance (e.g., GitHub copilot)

Awareness of agentic architecture frameworks

Experience collaborating with external teams and driving project streams through others to deliver results

Experience in mentoring and guiding junior internal resources

Excellent problem-solving, strong communication, stakeholder management and knowledge sharing skills

Fluent spoken and written English

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