Data EngineerNESTLE EN FRANCE

Vittel (88)CDI
Il y a 15 jours

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

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