Smart Factory Engineer

ZF LIFETEC

Ponte de Lima

Sur place

EUR 45 000 - 65 000

Plein temps

Il y a 3 jours
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Résumé du poste

Zf Lifetec in Ponte de Lima is expanding its Manufacturing Engineering team to implement, develop, and configure IT control systems across the production line. The role focuses on MES configuration, OCR development, and machine vision for quality inspection, with emphasis on minimizing downtime and ensuring smooth launches in both pilot and serial production.

The ideal candidate has 3+ years’ experience, strong English and Portuguese, and solid knowledge of databases, programming, and

Qualifications

  • 3+ years of experience implementing, developing, and configuring IT control and management systems for production processes.
  • Good understanding of relevant products & manufacturing processes.
  • Very good oral and written communication skills.
  • Fluent in English and Portuguese.
  • Ability to identify problems and propose improvements.
  • Database knowledge (SQL, TSQL, PLSQL, Oracle).
  • Skills in label development and design (ZPL II, Cab).
  • Understanding of AI concepts and programming.
  • Knowledge in Python and data analysis tools.
  • Knowledge in VB.NET and Visual Studio.
  • Desired knowledge in robots programming.
  • Comply with and maintain IATF16949:2016, ISO9001:2015, ISO 14001, ISO 45001 systems related to the workplace.

Responsabilités

  • Implement, develop, and configure all products/projects in the production process.
  • Minimize downtime in the production process by following escalation procedures for unresolved issues.
  • Configure MES according to client specifications (internal and external) and team standards.
  • Provide technical support to users in using MES.
  • Document MES processes/projects, in launch phase as well in serial.
  • Manage and resolve incidents within their area of responsibility.
  • Propose improvements to procedures and processes when identified.
  • Development, implementation, and optimization of Optical Character Recognition (OCR) systems.
  • Development and implementation of machine vision systems for quality inspection and automated defect detection.

Connaissances

SQL
PL/SQL
Oracle
Python
VB.NET
Visual Studio
OCR
Machine Vision
AI concepts
Data analysis
Robot programming

Formation

Technical degree

Outils

ZPL II
Cab

Description du poste

We are expanding our team by hiring in Manufacturing Engineering area at Ponte de Lima Plant (Fornelos).

Smart Factory Engineer
  • Implement, develop, and configure all products/projects in the production process.
  • Minimize downtime in the production process by following escalation procedures for unresolved issues.
  • Configure MES according to client specifications (internal and external) and team standards.
  • Provide technical support to users in using MES.
  • Document MES processes/projects, in launch phase as well in serial.
  • Manage and resolve incidents within their area of responsibility.
  • Propose improvements to procedures and processes when identified.
  • Development, implementation, and optimization of Optical Character Recognition (OCR) systems.
  • Development and implementation of machine vision systems for quality inspection and automated defect detection.
Your profile
  • Academic degree in technical field or equivalent.
  • 3+ years of experience in implementing, developing, and configuring IT control and management systems for the production processes.
  • Good understanding of relevant products & manufacturing processes.
  • Very good oral and written communication skills.
  • Fluent in English and Portuguese.
  • Ability to identify problems and propose improvements.
  • Database knowledge (SQL, TSQL, PLSQL, Oracle).
  • Skills in label development and design (ZPL II, Cab).
  • Understanding of AI concepts and programming.
  • Knowledge in Python and data analysis tools.
  • Knowledge in VB.NET and Visual Studio.
  • Desired knowledge in robots programming.
  • Comply with and maintain IATF16949:2016, ISO9001:2015, ISO 14001, ISO 45001 systems related to the workplace.
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