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Cloud Data Engineer - Milan (Hybrid) - 12 months

Skills

agileaiairflowanalyticsautomationawsbusiness intelligenceci cdcloudcloud nativedata engineeringdata pipelinesdata qualitydevopsgrafanainfrastructure as codekubernetesmachine learningobservabilitypythonstakeholder managementworkflow orchestrationPythonAWS

Description

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.

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