CDI Head of Data Engineering (H/F)
Nestlé
- Issy-les-Moulineaux, Hauts-de-Seine
- CDI
- Temps-plein
- Permanent position
- Location: Issy les Moulineaux (92)
- Master's degree in the field of Data engineering
- Around 7 years of experience in data engineering, preferably with 2-3 years as lead/management experience.
- Compensation: a fixed salary on a 13-month basis (Grade F - range between 81 000 € and 101 200 €), an annual bonus of 15%, profit-sharing and participation in the company's results as well as many benefits
- Manager: Jessica MATHERON
- Permanent position
- Location: Issy les Moulineaux (92)
- Master's degree in the field of Data engineering
- Around 7 years of experience in data engineering, preferably with 2-3 years as lead/management experience.
- Attractive package, caring management, flexible working hours or remote work, allow you to evolve in a pleasant environment. You benefit from training throughout your career, aimed at promoting your development towards different roles within the Group.
- Own the data stack: design, standardize and optimize the data pipelines and assets for the data department. Ensure the scalability, stability, and performance of the platforms.
- Understand the data, organization and preprocessing required to answer growing business needs.
- Supervise our CI/CD.
- Work closely with internal resources: Global, Zone Europe and Country (tech leads, Head of Data Analytics, data scientist, CDO)
- Supervise external collaborators (group resources, consultants) to get projects across the finish line.
- Hire and lead a team of core data engineers. Manage a regional Engineering Manager Around 15 Data Engineers across the entire engineering team targeted for year-end 2024.
- Communicate on best practices and actively participate in upskilling the department.
- Solid Python & SQL programming.
- Some DataOps / DevOps experience, building a CI/CD pipeline.
- Mastery of a modern cloud-based data stack. Experience deploying and maintaining ML Model
- in production is a plus.
- Knowledge of Azure, Databricks, DBT, Snowflake, GCP. Back-end experience a plus as well.
- Cloud: Azure and "on prem".
- DA & DS Pipelines: Azure Data Factory, Snowflake, Databricks, DBT, PowerBI.
- Permanent position
- Location: Issy les Moulineaux (92)
- Master's degree in the field of Data engineering
- Around 7 years of experience in data engineering, preferably with 2-3 years as lead/management experience.
- Compensation: a fixed salary on a 13-month basis (Grade F - range between 81 000 € and 101 200 €), an annual bonus of 15%, profit-sharing and participation in the company's results as well as many benefits
- Manager: Jessica MATHERON
- Permanent position
- Location: Issy les Moulineaux (92)
- Master's degree in the field of Data engineering
- Around 7 years of experience in data engineering, preferably with 2-3 years as lead/management experience.
- Attractive package, caring management, flexible working hours or remote work, allow you to evolve in a pleasant environment. You benefit from training throughout your career, aimed at promoting your development towards different roles within the Group.
- Own the data stack: design, standardize and optimize the data pipelines and assets for the data department. Ensure the scalability, stability, and performance of the platforms.
- Understand the data, organization and preprocessing required to answer growing business needs.
- Supervise our CI/CD.
- Work closely with internal resources: Global, Zone Europe and Country (tech leads, Head of Data Analytics, data scientist, CDO)
- Supervise external collaborators (group resources, consultants) to get projects across the finish line.
- Hire and lead a team of core data engineers. Manage a regional Engineering Manager Around 15 Data Engineers across the entire engineering team targeted for year-end 2024.
- Communicate on best practices and actively participate in upskilling the department.
- Solid Python & SQL programming.
- Some DataOps / DevOps experience, building a CI/CD pipeline.
- Mastery of a modern cloud-based data stack. Experience deploying and maintaining ML Model
- in production is a plus.
- Knowledge of Azure, Databricks, DBT, Snowflake, GCP. Back-end experience a plus as well.
- Cloud: Azure and "on prem".
- DA & DS Pipelines: Azure Data Factory, Snowflake, Databricks, DBT, PowerBI.