Energy Efficiency Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/86v46k

DATA4’S MISSION

Building highly connected, resilient and responsible Data Center campuses to support the growth of our customers in Europe. DATA4 is a major European operator and investor in the Data Centers market. The Group finances, designs, builds and operates its own data centers.
DATA4 VALUES
At DATA4 we are driven by our values. These are the core of everything we do:
- Initiative – We foster a culture of ownership, autonomy, and proactive execution to deliver clear and measurable results.
- Responsibility – We act with integrity and accountability, ensuring sustainable, transparent, and responsible operations.
- Adaptability – We embrace change and continuously evolve our operating models to anticipate future challenges and opportunities.

About The Role
The Energy Efficiency Engineer is responsible for providing the analytical and technical backbone of the group’s energy performance management. The role designs and maintains predictive models for energy KPIs, validates data from monitoring systems,



supports root cause analysis on significant deviations and assesses the feasibility of energy efficiency initiatives. The Energy Data & Performance Specialist ensures that energy reports are technically sound and consistent before internal and external distribution, acting as the primary technical reference across all countries in scope.
The role reports directly to the Energy & Resource Operation Manager and operates in a transversal and highly collaborative environment, working closely with Country Operations Directors, Global Operations Team, Finance, IT and Compliance teams to ensure alignment and execution of group-level initiatives.
The position can be based in Cornaredo (Italy) or Alcobendas (Spain)
Key Responsibilities
Energy KPI Modelling & Forecasting
- Design, develop and maintain predictive models for group energy KPIs (PUE, WUE, CUE, ERF, REF, EnPIs), incorporating relevant variables (such as weather-normalised data, IT load and seasonal patterns, e

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/86v46k