Data Center Operations Engineer
Pubblicato il 31-08-2026 - DATA4 Group in Milano
ABOUT THE ROLE
The Data Center Operations Engineer (DCOE) is responsible for the safe, reliable and efficient operation of critical data center infrastructure.
The role ensures service continuity, operational excellence, and compliance with technical, safety and contractual requirements, through the management of maintenance activities, incidents, changes, and technical vendors.
The Data Center Operations Engineer (DCOE) operates with autonomy on day-to-day operations, acting as a key interface between internal teams, customers, and service providers.
RESPONSIBILITIES
Technical Operations
- Ensure the continuous operation of critical infrastructure (electrical, mechanical, cooling, fire protection, low current systems)
- Monitor infrastructure performance using BMS and monitoring tools
- Supports, validates, follows-up and manage preventive and corrective maintenance activities
- Ensure compliance with design standards, operational procedures, and safety requirements
- Participate in commissioning, testing, and handover activities when applicable
Incident & Problem Management
- Own the incident management lifecycle: detection, assessment, escalation, resolution, and closure
- Coordinate and contribute to root cause analysis (RCA) and define corrective and preventive actions
- Track and ensure completion of action plans related to incidents and risks
- Participate in and support incident simulation drills and crisis scenarios
Change & Maintenance Management
- Plan, review, and supervise maintenance schedules and interventions
- Ensure proper execution of change management processes, minimizing operational risks
- Use maintenance management tools (CMMS or equivalent) to track activities, performance, and compliance
- Ensure all activities are properly documented and aligned with procedures
Vendor & Contract Management
- Manage technical service providers on-site (multi-technical, maintenance, specialized vendors)
- Monitor vendor performance against SLAs, KPIs, and