Société des Produits Nestlé S.A.
Food Safety Associate Data Analyst(m/w/x)
Vollzeitnur vor OrtBerufserfahren
Lausanne
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SOSociété des Produits Nestlé S.A.
Sr Specialist Scientific Data Engineering(m/w/x)
Lausanne
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- Git
- CI/CD
- Azure
- AWS
- Airflow
- Azure Data Factory
- Snowflake
- Databricks
- Openshift
- Docker
- Podman
Benefits
Flexibles Arbeiten
- Flexible working arrangements
Lockere Unternehmenskultur
- Culture of respect
- Dynamic international environment
Sonstige Vorteile
- Diversity, equity, and inclusion
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Société des Produits Nestlé S.A. erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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SOSociété des Produits Nestlé S.A.
Sr Specialist Scientific Data Engineering(m/w/x)
Lausanne
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- SQL
- Git
- CI/CD
- Azure
- AWS
- Airflow
- Azure Data Factory
- Snowflake
- Databricks
- Openshift
- Docker
- Podman
Benefits
Flexibles Arbeiten
- Flexible working arrangements
Lockere Unternehmenskultur
- Culture of respect
- Dynamic international environment
Sonstige Vorteile
- Diversity, equity, and inclusion
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Société des Produits Nestlé S.A. erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Société des Produits Nestlé S.A.
Branche
Food
Beschreibung
The company develops new products, processes, and packaging concepts for a broad range of Nutrition, Dairy, Health Science, and Coffee products.
Noch nicht perfekt?
- Société des Produits Nestlé S.A.
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VollzeitFreelancenur vor OrtSeniorLausanne, Genf - Artefact
Senior Data Engineer (GCP / dbt / Looker)(m/w/x)
VollzeitFreelancenur vor OrtSeniorLausanne, Genf - Société des Produits Nestlé S.A.
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Vollzeitnur vor OrtBerufserfahrenLausanne - Ferring Pharmaceuticals
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Vollzeitnur vor OrtBerufserfahrenSaint-Prex