Design, develop and maintain data pipelines in accordance with global IT standards.
Collaborate closely with multidisciplinary teams to ensure optimal data quality, security, compliance and accessibility.
Accelerate the R&D Data & Digital strategy.
Inventory existing data (sources, quality, usage and limitations).
Map, structure and govern R&D data.
Design and evolve data architecture.
Work closely with stakeholders to understand data needs and deliver high-impact solutions.
Act as a liaison between IT/OT teams and business teams.
Understand industrial, scientific and business data.
Translate business requirements into datasets for model and algorithm development.

Master's degree in Computer Science, Engineering or Information Systems Management.
Minimum 5 years' experience in data engineering.
Strong understanding of Research & Development functions, their processes and the data produced throughout the information lifecycle.
Solid knowledge of data architecture, ETL (Extract, Transform, Load) processes and data modelling.
Ability to work in a project-based environment with clear deliverables, understand user needs and communicate effectively with various stakeholders.
Familiarity with best practices in data governance, compliance and data security.
Fluent English and professional experience in an industrial, international environment.
Proficiency with tools: Apache Spark, Apache Flink, Beam, Databricks, Apache Airflow, Prefect, Luigi, Snowflake, BigQuery, Redshift, Delta Lake, Python, Scala, Java, R, SQL.

Compensation includes a fixed salary paid over 13 months and a 10% performance bonus.
Stimulating work environment: join a dynamic, multicultural team that encourages exchange and collaboration.
Professional development opportunities: access to ongoing training and skills development programs to help you progress in your career.
Employee benefits: health insurance, profit-sharing, RTT (additional paid time off), annual bonus and other benefits.
Flexibility: options for remote work and flexible hours to better balance professional and personal life.
Company culture: Nestlé values initiative, proactivity and autonomy, with a strong customer focus.

Data Engineer

Key skills