Senior Data Engineer H/F

We are Nestlé, the largest food and beverage company. We are 308,000 employees strong driven by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future. With more than CHF 91.4 billion sales in 2018, we have an expansive presence with 413 factories in more than 85 countries. We believe our people are our most important asset, so we'll offer you a dynamic inclusive international working environment with many opportunities across different businesses, functions, and geographies, working with diverse teams and cultures. Want to learn more? Visit us at www.nestle.com

Position snapshot:

• Permanent position
• Location: Nestlé Offices in Zone Europe
• Master’s degree in the field of Data engineering
• Different positions (5+ years) available.
• 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.

Position summary:

Nestlé Zone Europe is looking for a Senior Data Engineer to help us scale our infrastructure so that we can deliver actionable insights throughout the firm. Current and future projects across business teams encompass data driven marketing, data driven sales, pricing, product information management, a consumer data platform, and sustainability. The position will report to the Zone Europe Head of Data Engineering.

A day in the life of a Core Data engineer:

• 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.
• Lead more junior data engineers.
• Communicate on best practices and actively participate in upskilling the department.

The role can be partially remote and there will be flexibility, but you should expect to spend 20% of the time (monthly) in the office.

What will make you successful:

Key experience:

• 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.

Our stack:

• Cloud: Azure and 'on prem'.
• DA & DS Pipelines: Azure Data Factory, Snowflake, Databricks, DBT, PowerBI.

A person of integrity: you are convinced that you can do your job in a responsible way. You are looking for a company where responsibility is a guideline at all levels.

Do you recognize yourself? We are meant to work together!