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

This is what you can move.

• In this exciting role, you will build data pipelines, operate them, and further develop them on the SBB Enterprise Analytics Platform, which combines batch and streaming approaches.
• You will integrate a wide variety of data sources via APIs/Kafka, thereby enabling analyses, dashboards, and predictive maintenance.
• You will design data products and semantic models on Snowflake and Power BI.
• You will further develop RAMSI - from the web application (Java Spring Boot/Angular) via reports to dashboards for our specialists.
• In close cooperation with the business, you will record requirements and ensure sustainable solutions in operation.
• You will 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 specialists to develop concrete solutions and to promote the professional development of other data engineers.
• Agile, independent, and solution-oriented way of working with pronounced reliability and 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 costs.
• 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 testing, CI/CD, packaging, and deployment best practices.