Data Engineer

Position Snapshot 
 

Location: Konolfingen, Switzerland
Company: Nestlé Product & Technology Center (NPTC) Nutrition 
Act. Rate: Full-Time 
Type of contract: Permanent contract

What we offer at Nestlé 

Exciting opportunities to develop your career your way; across different brands, businesses, functions, and regions. 
Flexible working arrangements - facilitating creativity and collaboration 
A culture of respect, with diversity, equity and inclusion at its core. Learn more here. 
A dynamic international environment empowering you to learn, develop and grow. 
 
Don’t hesitate to connect with us during the recruitment process to learn more.

Position Summary  

We are looking for a Data Engineer to be responsible for supporting the digital transformation program within the R&D function. You will design, build, and maintain data pipelines and architectures that ensure data quality and accessibility for data scientists and researchers. Additionally, you will lead the application of digital tools, such as Power BI and PowerApps, to enhance efficiency and quality within NPTC Nutrition. Your collaboration with cross-functional teams will be crucial in ensuring compliance, security, and effective data management. As a Data Engineer, you will apply your information modeling and programming skills to optimize data for insightful analysis.

A Day in the Life of a Data Engineer 

• Contribute to the design and maintenance of data pipelines with local and functional data owners
• Implement and monitor data quality checks to ensure accuracy and reliability
• Design data pipelines to collect, process, and store data from various sources
• Collaborate with data scientists to understand data requirements and design models
• Manage the data lifecycle and assist in variable creation and staging strategies
• Develop and apply digital tools to enhance efficiency and metric accuracy
• Work with R&D stakeholders to leverage data for business solutions
• Provide technical support and guidance on data-related issues

What will make you successful

• Master’s degree in Computer Science, Data Engineering, or a related field
• Solid experience in data engineering, preferably in an R&D environment
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with data warehousing solutions like Snowflake, ETL tools, and SQL
• Familiarity with big data technologies and cloud platforms (AWS, Azure)
• Proficiency in Databricks, Unity Catalog, and Purview
• Strong problem-solving skills and ability to work with minimal supervision
• Effective communication experience at various organizational levels

Nestlé is committed to the accessibility of its recruitment process. If you require an adaptation during the recruitment process, please do let us know so we can support you effectively. All information will be treated confidentially.

At Nestlé Research and Development in Konolfingen near Bern / Switzerland, we develop for Nestlé worldwide, new products, processes and packaging concepts for a broad range of products of our Nutrition, Dairy, Health Science and Coffee businesses. In addition, we also provide technical assistance to our factories.