Function Description / Professional Tasks
Swiss Post is seeking an experienced Senior Data Engineer to join our International Mail & Parcels Cluster. In this role, you will be instrumental in designing and building the next-generation data platform that powers our international logistics operations. As we transition from legacy systems to a new international logistics platform and shift reporting from Tableau to Power BI, you will help create a scalable, modern data ecosystem that delivers real business impact.
If you thrive on driving technical initiatives, collaborating in an agile environment, and taking ownership in a fast-evolving context, this opportunity is a great fit.
What You Can Do:
− Design, develop, and maintain a modern, scalable Data Warehouse in the AWS Cloud
− Build and optimize ETL/ELT data pipelines using AWS Glue and Step Functions
− Integrate and transform large-scale datasets using Apache Spark and Scala
− Support the migration of dashboards from Tableau by delivering robust data models, pre-calculated KPIs, and analytical products optimized for Power BI
− Collaborate with stakeholders and cross-functional teams to clarify requirements, align dependencies, and deliver high-quality data solutions
− Take ownership of key components within the data platform and contribute to ongoing improvements within an agile engineering team
− Ensure data quality, reliability, and transparency throughout the full data lifecycle
If you thrive on driving technical initiatives, collaborating in an agile environment, and taking ownership in a fast-evolving context, this opportunity is a great fit.
What You Can Do:
− Design, develop, and maintain a modern, scalable Data Warehouse in the AWS Cloud
− Build and optimize ETL/ELT data pipelines using AWS Glue and Step Functions
− Integrate and transform large-scale datasets using Apache Spark and Scala
− Support the migration of dashboards from Tableau by delivering robust data models, pre-calculated KPIs, and analytical products optimized for Power BI
− Collaborate with stakeholders and cross-functional teams to clarify requirements, align dependencies, and deliver high-quality data solutions
− Take ownership of key components within the data platform and contribute to ongoing improvements within an agile engineering team
− Ensure data quality, reliability, and transparency throughout the full data lifecycle