Temporary Process Engineer: Boost Efficiency & Quality

Dyno Nobel Inc.; Simsbury (CT); Sur place; USD 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Base medical benefits

Résumé du poste

Dyno Nobel is seeking a Process Engineer to drive process improvements and improve operations efficiency in the Electronics Department. You will collaborate with site leaders to implement continuous improvement, standard work, line balancing, and bottleneck removal to boost productivity.

The role focuses on establishing baselines, setting targets, and raising Overall Equipment Effectiveness while reducing waste and ensuring HSE compliance. A hands-on data-driven change agent is desired.

Qualifications

• BS degree or higher in a relevant engineering discipline.
• 3+ years of experience in manufacturing operations.
• Experience with SAP and Minitab is a plus.

Responsabilités

• Drive process improvements and operations efficiency in the Electronics Department.
• Identify and implement continuous improvement with site leaders.
• Lead standard work, line balancing, and bottleneck removal to increase productivity.
• Establish baseline, measures/targets, and improve Overall Equipment Effectiveness (OEE).
• Align with Business Excellence to reduce waste and improve quality.
• Gather and analyze manufacturing data to support data-driven solutions.

Connaissances

3+ years manufacturing experience

analytical thinking

Formation

BS Degree or higher in Mechanical, Industrial, Automation, Mechatronics, Electrical or Robotics Engineering

Outils

SAP

Minitab

Description du poste

Dyno Nobel is seeking a Process Engineer to drive process improvements and improve operations efficiency in the Electronics Department. You will collaborate with site leaders to implement continuous improvement, standard work, line balancing, and bottleneck removal to boost productivity.

The role focuses on establishing baselines, setting targets, and raising Overall Equipment Effectiveness while reducing waste and ensuring HSE compliance. A hands-on data-driven change agent is desired.