Position SnapshotLocation: Konolfingen, SwitzerlandCompany: Nestlé Product & Technology Center (NPTC) NutritionAct. Rate: Full-TimeType of contract: Permanent contractWhat we offer at NestléExciting opportunities to develop your career your way; across different brands, businesses, functions, and regions.Flexible working arrangements - facilitating creativity and collaborationA 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 SummaryWe 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 EngineerContribute to the design and maintenance of data pipelines with local and functional data ownersImplement and monitor data quality checks to ensure accuracy and reliabilityDesign data pipelines to collect, process, and store data from various sourcesCollaborate with data scientists to understand data requirements and design modelsManage the data lifecycle and assist in variable creation and staging strategiesDevelop and apply digital tools to enhance efficiency and metric accuracyWork with R&D stakeholders to leverage data for business solutionsProvide technical support and guidance on data-related issuesWhat will make you successfulMaster's degree in Computer Science, Data Engineering, or a related fieldSolid experience in data engineering, preferably in an R&D environmentProficiency in programming languages such as Python, Java, or ScalaExperience with data warehousing solutions like Snowflake, ETL tools, and SQLFamiliarity with big data technologies and cloud platforms (AWS, Azure)Proficiency in Databricks, Unity Catalog, and PurviewStrong problem-solving skills and ability to work with minimal supervisionEffective communication experience at various organizational levelsNestlé 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.