Hybrid Cloud Data Engineer: AWS, Airflow, Kubernetes
Summary
Designs, builds, and maintains cloud-native data platforms in AWS for business intelligence, analytics, and AI initiatives — building Python data pipelines, managing Kubernetes workloads, and running Airflow workflows with Grafana monitoring. On-site/hybrid role in Lombardy, Italy.
Global Enterprise Partners is seeking an experienced Cloud Data Platform Engineer to join a large-scale enterprise transformation. The role focuses on designing, developing, and maintaining cloud-native data solutions that power business intelligence, analytics, and AI-driven initiatives.
You will design scalable data platforms in AWS, build robust data pipelines with Python, manage Kubernetes workloads, and implement Airflow-driven workflows with Grafana-based monitoring.