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Blade Repair Engineer

Aerones · Riga

Mid 🇬🇧 English
blade anomaly classification damage documentation standards ice-phobic coating application NCR processes root cause analysis cost estimation

Job description

About the role

Aerones is seeking a Blade Repair Engineer to join its Blade Repair & Operations Excellence (BROE) team. The role supports the full lifecycle of wind turbine blade services, from inspection data collection to repair execution and quality reporting.

Key responsibilities

  • Interface daily with the Operations Management Center to feed quality data into weekly operational reviews and board‑level reporting.
  • Classify blade anomalies, assess severity, and document damage according to commercial wind‑farm inspection standards.
  • Develop repair recommendations, define scopes of work, and produce cost estimates for blade repair projects.
  • Apply leading‑edge protection materials and ice‑phobic coatings, including surface preparation, laminate systems, and top‑coat application.
  • Execute NCR processes, root‑cause analysis (5‑Why, fishbone), and CAPA workflows to ensure continuous improvement.
  • Analyse QC data to identify failure patterns across materials, teams, and sites and translate findings into engineering actions.

Required profile

  • Degree in Materials Engineering, Mechanical Engineering, Composites Technology or equivalent hands‑on experience.
  • Minimum 3 years of direct experience in wind‑turbine blade repair, inspection or related services, preferably with an OEM or specialist service provider.
  • Deep technical knowledge of blade damage types (erosion, delamination, cracking, disbonding, lightning damage, manufacturing defects) and corresponding corrective techniques.

Required skills

  • Blade anomaly classification and damage documentation standards.
  • Leading‑edge protection and ice‑phobic coating application processes.
  • QC systems: NCR handling, root‑cause analysis, CAPA implementation.
  • Scope‑of‑work definition and cost estimation for repair projects.
  • Strong analytical ability to interpret QC data and identify material failure patterns.

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Published 1 month ago

Expires 2 weeks from now

27 views · 0 interested

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Aerones

Riga