Hybrid Cloud Data Engineer: AWS, Airflow, Kubernetes

Global Enterprise Partners

Lombardia

Hybrid

EUR 75,000 - 110,000

Full time

3 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

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.

Qualifications

Proven experience delivering enterprise-scale data engineering solutions.

Responsibilities

Design and implement scalable data platforms within AWS cloud environments.
Develop and optimise data pipelines using Python and modern data engineering practices.
Manage and support containerised workloads running on Kubernetes.
Build, schedule, and monitor workflows using Apache Airflow.
Implement monitoring, alerting, and observability solutions using Grafana and related tooling.
Collaborate with data scientists, platform engineers, and business stakeholders to support AI and advanced analytics use cases.
Ensure platform reliability, performance, scalability, and data quality.
Contribute to automation, DevOps, and cloud engineering best practices.

Skills

AWS cloud

Kubernetes

Python

Airflow

Grafana

Data engineering

AI/ML ecosystems

Cloud native

Stakeholder mgmt

Tools

Airflow

Kubernetes

Grafana

AWS

Job description

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.

Get your free, confidential resume review.

or drag and drop your file here.