Industrial Data & Automation Engineer

Corning; Reynosa; Sur place; MXN 240 000 - 360 000; Plein temps

Résumé du poste

Corning in Reynosa, Mexico, is seeking an Industrial Engineer – Digital Solutions to support process and industrial engineering operations for fiber optics connector assembly. The role blends IE fundamentals with programming to reduce manual data work and connect manufacturing systems.

The candidate will build scalable digital tools, automate reporting, and collaborate with technicians to improve workflows and data accuracy using Python, SQL, Power BI, SAP, and Windchill.

Qualifications

• Bachelor degree in industrial/manufacturing engineering or related field.
• 1+ year experience in industrial engineering, process improvement, or manufacturing.
• Proficient in Python, SQL, and Power BI for data and reporting.

Responsabilités

• Support IE activities on fiber optics connector assembly lines, including time studies and capacity analysis.
• Develop data solutions using Python, SQL, and Power BI to replace manual reporting.
• Build integrations connecting SAP, Windchill, and Excel models to reduce data entry.
• Design lightweight internal tools to simplify repetitive workflows for IE technicians.
• Collaborate with IE technicians to document workflows and identify automation opportunities.
• Apply AI tools and cloud platforms to analyze manufacturing data for insights.
• Maintain data integrity across cost models and support cost reporting.
• Assist with projects related to capacity, BOM accuracy, labor and costing changes.

Connaissances

Python

SQL

Power BI

Data analysis

Process improvement

Formation

Bachelor's degree in Industrial Engineering

Outils

SAP

Windchill

Description du poste

Corning in Reynosa, Mexico, is seeking an Industrial Engineer – Digital Solutions to support process and industrial engineering operations for fiber optics connector assembly. The role blends IE fundamentals with programming to reduce manual data work and connect manufacturing systems.

The candidate will build scalable digital tools, automate reporting, and collaborate with technicians to improve workflows and data accuracy using Python, SQL, Power BI, SAP, and Windchill.