Société des Produits Nestlé S.A.
Food Safety Associate Data Analyst(m/w/x)
Full-timeOn-siteExperienced
Lausanne
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SOSociété des Produits Nestlé S.A.
Sr Specialist Scientific Data Engineering(m/w/x)
Lausanne
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Designing and implementing scientific data pipelines for Bioinformatics, Clinical, or Omics research in nutrition and health science. 7+ years experience designing data pipelines in research or scientific context required. Flexible working arrangements.
Requirements
- Bachelors, Master's, or PhD in Bioinformatics, Computer Science, life sciences, or related field
- 7+ years of experience in designing and implementing data pipelines and architectures in research or scientific context, ideally in food or pharma industry
- Familiarity with software engineering practices and development frameworks (Scrum, Agile, DevOps)
- Solid foundations in data modeling, ETL/ELT processes, and distributed data systems
- Proficiency in Python and SQL for data manipulation and pipeline development
- Experience with DevOps tool stacks (e.g., Git, CI/CD)
- Experience with cloud platforms (e.g., Azure, AWS) and orchestration tools (e.g., Airflow, Azure Data Factory)
- Experience with data lake and data warehouse technologies - Snowflake, Databricks
- Experience working with Linux and container technologies such as Openshift, Docker, or Podman
- Experience with Bioinformatics, Clinical, or Omics data pipelines
- Familiarity with Data analysis and Machine learning capabilities and 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 and interns
- Excellent problem-solving, communication skills, strong stakeholder management skills, and strong knowledge sharing skills
- Fluent spoken and written English
Tasks
- Design and implement end-to-end scientific data pipelines for Bioinformatics, Clinical, or Omics research
- Develop and deploy scalable data architectures on Linux or cloud platforms
- Ensure performance, reliability, and compliance with data governance standards
- Onboard and collaborate with external developers and internal data specialists
- Work in cross-functional project teams to define project objectives and deliverables
- Evaluate needs and identify technical approaches to solve business challenges
- Partner with teams to gather functional requirements and improve data quality
- Enhance metadata management and data discoverability
Work Experience
- 7 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Git
- CI/CD
- Azure
- AWS
- Airflow
- Azure Data Factory
- Snowflake
- Databricks
- Openshift
- Docker
- Podman
Benefits
Flexible Working
- Flexible working arrangements
Informal Culture
- Culture of respect
- Dynamic international environment
Other Benefits
- Diversity, equity, and inclusion
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Société des Produits Nestlé S.A. and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SOSociété des Produits Nestlé S.A.
Sr Specialist Scientific Data Engineering(m/w/x)
Lausanne
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Designing and implementing scientific data pipelines for Bioinformatics, Clinical, or Omics research in nutrition and health science. 7+ years experience designing data pipelines in research or scientific context required. Flexible working arrangements.
Requirements
- Bachelors, Master's, or PhD in Bioinformatics, Computer Science, life sciences, or related field
- 7+ years of experience in designing and implementing data pipelines and architectures in research or scientific context, ideally in food or pharma industry
- Familiarity with software engineering practices and development frameworks (Scrum, Agile, DevOps)
- Solid foundations in data modeling, ETL/ELT processes, and distributed data systems
- Proficiency in Python and SQL for data manipulation and pipeline development
- Experience with DevOps tool stacks (e.g., Git, CI/CD)
- Experience with cloud platforms (e.g., Azure, AWS) and orchestration tools (e.g., Airflow, Azure Data Factory)
- Experience with data lake and data warehouse technologies - Snowflake, Databricks
- Experience working with Linux and container technologies such as Openshift, Docker, or Podman
- Experience with Bioinformatics, Clinical, or Omics data pipelines
- Familiarity with Data analysis and Machine learning capabilities and 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 and interns
- Excellent problem-solving, communication skills, strong stakeholder management skills, and strong knowledge sharing skills
- Fluent spoken and written English
Tasks
- Design and implement end-to-end scientific data pipelines for Bioinformatics, Clinical, or Omics research
- Develop and deploy scalable data architectures on Linux or cloud platforms
- Ensure performance, reliability, and compliance with data governance standards
- Onboard and collaborate with external developers and internal data specialists
- Work in cross-functional project teams to define project objectives and deliverables
- Evaluate needs and identify technical approaches to solve business challenges
- Partner with teams to gather functional requirements and improve data quality
- Enhance metadata management and data discoverability
Work Experience
- 7 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Git
- CI/CD
- Azure
- AWS
- Airflow
- Azure Data Factory
- Snowflake
- Databricks
- Openshift
- Docker
- Podman
Benefits
Flexible Working
- Flexible working arrangements
Informal Culture
- Culture of respect
- Dynamic international environment
Other Benefits
- Diversity, equity, and inclusion
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Société des Produits Nestlé S.A. and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Société des Produits Nestlé S.A.
Industry
Food
Description
The company develops new products, processes, and packaging concepts for a broad range of Nutrition, Dairy, Health Science, and Coffee products.
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