Cloud Data Engineer - Milan (hybrid) - 12 Months
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, Dev Ops, 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 Dev Ops 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.
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, Dev Ops, 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 Dev Ops 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.