Real-Time Data Engineer: ETL, Kafka & Kubernetes
Summary
A Data Engineer at T-Systems (Deutsche Telekom) who owns end-to-end data pipelines and supports real-time processing on a Kubernetes platform, collaborating with Data Scientists, DevOps, and internal teams to implement, monitor, and optimize workflows. Core tech: ETL, Kafka, Kubernetes, and cloud/container tooling.
T-Systems, part of Deutsche Telekom, is looking for a Data Engineer to own end-to-end data pipelines and support real-time processing on a Kubernetes platform. You will work with Data Scientists, DevOps, and internal teams to implement, monitor, and optimize data workflows.
We value cloud/container familiarity, DevOps practices, and strong communication. English is required; basic German helps. Competitive benefits include extensive time off, training opportunities, and wellbeing programs.