Critères de l'offre
Métiers :
- Data Engineer
Expérience min :
- 3 à 5 ans
Diplômes :
- Bac+5, Master - Magistère, MIAGE
Compétences :
- Anglais
Lieux :
- Vittel (88)
Conditions :
- CDI
- Temps Plein
L'entreprise : NESTLE EN FRANCE
AT A GLANCE:
- Permanent contract - Full time - Executive position
- Based in Vittel (88), France
- Minimum of 5 years' experience required in data engineering
- Fluent English
- Starting from July 2026
Description du poste
You will be responsible for:
- Accelerate the Data & Digital strategy for R&D
- Inventory existing data (sources, quality, usage, limitations)
- Implementing data quality and validation checks to guarantee accuracy and reliability
- Map, structure, and govern R&D data
- Design and evolve the data architecture
- Collaborating closely with stakeholders to understand data needs and deliver high-impact solution
- Working closely with the IT/OT team and business teams
- Understand industrial, scientific, and business data
- Translate scientists' data requirements into datasets for model and algorithm development
- define data architecture and providing technical support and guidance to team members on data-related matters
- Define the roadmap for data
- Specifically regarding data ingestion, cleaning, staging, harmonization, and utilization of data to support new insights in R&D
- Contribute to high-value use cases: AI, data science, simulation, Power BI
- Participate in innovative Proof of Concept (POC) and Proof of Value (POV) projects
- Design, prepare, qualify and model the data, carrying out necessary cleansing
- Manage the data lifecycle and define industrialization strategies
- Ensure data quality, security, and compliance
- Implement quality controls and rules
- Ensure secure and compliant data management at all stages to minimize risks.
Description du profil
ABOUT YOU:
- Master's degree in computer science, engineering, or information systems management
- Minimum 5 years' experience in data engineering
- Good understanding of Research & Development (R&D) functions, their processes, and the data generated throughout the information lifecycle
- Strong knowledge of data architecture, ETL (Extract, Transform, Load) processes, and data modelling
- Familiar with best practices in data governance, compliance, and security
- Ability to work in a project-based environment with clear deliverables, proactively seek out information, understand user needs, and communicate effectively with a wide range of stakeholders
- Fluent in English with professional experience in an industrial & international environment and able to communicate deliverables and results effectively to a range of stakeholders
Référence : 392507 44046038

