Fleet Performance Engineer Remote, Data-Driven Reliability

Cronoshare.Com

Barcelona

A distancia

EUR 88.000 - 147.000

Jornada completa

Hace 7 días
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Ventajas ofrecidas por este puesto de trabajo

Medical benefits
Dental benefits
401(k) plan

Descripción de la vacante

GE Vernova seeks a Fleet Performance Engineer to monitor, analyze, and interpret the installed fleet's technical performance, identifying abnormal behavior, degradation, and emerging reliability risks across solar and energy storage assets.

You will work with cross‑functional teams—RCA, Data Analytics, AI, Field Service, Product Engineering—and translate observations into actionable engineering insights, moving from reactive investigations to proactive, predictive fleet management.

Formación

  • Bachelor's degree in Electrical Engineering or related field.
  • Experience with power conversion, renewable energy, or energy storage.
  • Experience analyzing operational or field data.
  • Ability to interpret alarms and events; communicate findings clearly.

Responsabilidades

  • Monitor fleet performance, availability, and reliability metrics.
  • Analyze operational data to identify deviations and risks.
  • Develop dashboards and analytical views for fleet visibility.
  • Translate findings into prioritized recommendations for teams.

Conocimientos

Python
SQL
Power BI
MATLAB
Data analysis
English proficiency
Cross-functional collaboration
Time-series analysis

Educación

Bachelor's degree in Electrical Engineering
Power Electronics

Herramientas

SCADA
PLCs
Historians

Descripción del empleo

GE Vernova seeks a Fleet Performance Engineer to monitor, analyze, and interpret the installed fleet's technical performance, identifying abnormal behavior, degradation, and emerging reliability risks across solar and energy storage assets.

You will work with cross‑functional teams—RCA, Data Analytics, AI, Field Service, Product Engineering—and translate observations into actionable engineering insights, moving from reactive investigations to proactive, predictive fleet management.

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