Location:
Milan, Italy (Hybrid) Contract Duration: 12 Months Start Date: 30 November An exciting opportunity has arisen for an experienced Cloud Data Platform Engineer to join a large-scale enterprise transformation programme. The successful consultant will be responsible for designing, developing, and maintaining cloud-native data solutions that support business intelligence, analytics, and AI-driven initiatives.

Key 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. Required Experience




* Proven experience delivering enterprise-scale data engineering solutions.
* Strong hands‑on expertise with AWS services and cloud infrastructure.
* Experience deploying and managing applications within Kubernetes environments.
* Advanced Python programming skills.
* Experience with Apache Airflow for workflow orchestration.
* Knowledge of Grafana and platform monitoring best practices.
* Familiarity with AI and machine learning ecosystems.
* Understanding of cloud‑native architecture principles.
* Strong stakeholder management and communication skills. Preferred Experience
* Exposure to Infrastructure as Code practices.
* Experience working within Agile delivery environments.
* Knowledge of CI/CD pipelines and DevOps methodologies.
* Experience supporting analytics or AI‑focused data platforms. Candidate Profile
* Analytical and solution‑oriented mindset.
* Able to work independently and within international project teams.
* Strong troubleshooting and problem‑solving capabilities.
* Comfortable operating in fast‑paced, enterprise‑scale environments. #J-18808-Ljbffr

📌 Cloud Data Engineer (Milano)
🏢 Global Enterprise Partners
📍 Milano