Cloud Data Engineer - Milan (Hybrid) - 12 months
Summary
12-month contract (hybrid, Milan) for a Cloud Data Platform Engineer on a large enterprise transformation programme: designing AWS-native data platforms, building Python data pipelines, running containerised workloads on Kubernetes, orchestrating with Apache Airflow, and monitoring with Grafana to support BI, analytics and AI initiatives.
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.