Ingénieur Data Quality (H/F)

SOITEC-enNorthampton Township, PA

About The Position

Soitec is a publicly traded company on the SBF 120 index, operating at the upstream end of the microelectronics value chain. Our innovative semiconductor materials are essential for the functioning of smartphones and the deployment of 5G. They also offer numerous opportunities for connected automotive, electric and autonomous vehicles, and embedded intelligence in connected objects. This position places us with an incredible responsibility, which inspires us daily: to enable the mass adoption of technological innovations while considerably limiting their environmental impact, in a logic of responsible innovation and sustainable development. These positions are open within the framework of the RCC program, allowing eligible employees to realize their voluntary departure project. Applications that will allow the repositioning of employees whose job category is impacted will be prioritized.

Requirements

  • Bac+5 degree (Physics, materials, data analyst, IT, etc.) and/or professional experience in a similar role.
  • Excellent listening skills and ability to simplify messages for effective teamwork.
  • Strong proposal-making skills for implementing tools or processes.
  • Interest in future applications.
  • Proficiency in English for communication with colleagues in Singapore or FAE teams.

Responsibilities

  • Ensure the quality, conformity, and reliability of produced data, eCOA reports, labels, and RFTags delivered to our clients.
  • Drive correction and improvement actions to guarantee the availability and quality of deliverables while meeting client requirements within deadlines.
  • Coordinate analyses of issues related to data, packing, and labeling.
  • Identify root causes in collaboration with relevant teams and implement corrective and preventive action plans.
  • Lead continuous improvement projects aimed at reducing incidents related to edatas, decreasing shipment errors, and strengthening the robustness of packing and labeling processes.
  • Contribute to securing delivery flows, optimizing internal practices, and sustainably improving client satisfaction through a deep understanding of systems, processes, and client needs.
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