Aerospace Control Systems Engineer - Hybrid Role

Aerospace Control Systems Engineer - Hybrid Role

Full-Time 49500 - 60500 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and develop control systems for aerospace applications while interpreting stakeholder needs.
  • Company: Leading aerospace company offering a hybrid working model.
  • Benefits: Competitive salary, flexible working, and excellent development opportunities.
  • Why this job: Join a dynamic team and contribute to safety-critical aerospace systems.
  • Qualifications: Strong problem-solving skills and attention to detail required.

The predicted salary is between 49500 - 60500 Β£ per year.

A leading aerospace company seeks a Control Systems Design Engineer to interpret stakeholder needs and develop control system requirements.

This position offers a hybrid working model, allowing for flexibility between the office and home.

The ideal candidate will have strong problem-solving skills and a keen attention to detail, with responsibilities including developing validated control designs and supporting safety-critical systems.

Excellent development opportunities and a competitive salary are offered. #J-18808-Ljbffr

Aerospace Control Systems Engineer - Hybrid Role employer: Rolls-Royce

At Rolls-Royce, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work environment in Derby. As a Lifecycle Engineer, you'll have the opportunity to make a significant impact on our airline customers across the EMEA region while benefiting from a culture that prioritises continuous learning and personal growth. With competitive salaries, comprehensive benefits, and a flexible hybrid working model, we ensure that our employees can thrive both professionally and personally.

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Contact Details:

Rolls-Royce Recruitment Team

We think you need these skills to ace Aerospace Control Systems Engineer - Hybrid Role

Control Systems Design
Problem-Solving Skills
Attention to Detail
Stakeholder Needs Interpretation
Safety-Critical Systems Support
Validation of Control Designs
Hybrid Working Model Adaptability