Data Engineer (m/w/d) - Asset Management Infrastrukturanlagen

This is what you can move. • In this exciting role, you build data pipelines, operate them, and develop them further on the SBB Enterprise Analytics Platform, which combines batch and streaming approaches. • You integrate a wide variety of data sources via APIs/Kafka, thereby enabling analyses, dashboards, and predictive maintenance. • You design data products and semantic models on Snowflake and Power BI. • You further develop RAMSI - from the web application (Java Spring Boot/Angular) to reports and dashboards for our subject matter experts. • In close cooperation with the business, you record requirements and ensure sustainable solutions in operations. • You share your knowledge and experience within the team and contribute to professional development. This is what you bring with you. • Strong communication skills and team orientation with the willingness to work together with our subject matter experts to develop concrete solutions and to promote the professional development of other data engineers. • Agile, independent, and solution-oriented way of working with strong reliability and the willingness to take responsibility for the quality and sustainability of technical solutions. • Several years of practical experience in the design, construction, development, and operation of cloud-based data platforms with a modern data stack (ETL/ELT, Data Warehouses, Streaming, orchestration - e.g., Snowflake, DBT, Helm, Argo Workflows, Kafka). • Ability to design scalable and cost-efficient data architectures and critically assess trade-offs between latency, consistency, and cost. • Experience in data modeling (Star/Snowflake models) and reporting with Power BI, advanced SQL skills as well as knowledge of query performance optimization. • Software engineering skills in Python, including tests, CI/CD, packaging, and deployment best practices.