Hiring.Camp

Process Engineer – Suspended Minerals & Wet Processing

Omya

·

Yesterday

Location
Egerkingen, Switzerland
Type
Full-time
Department
Engineering
Experience
5+ years
Education
Master
Source
Workday

Description

RESPONSIBILITIES

  • Lead process optimization and operational excellence initiatives across suspended mineral and wet processing operations.

  • Provide process engineering leadership for capital projects, including process design, flowsheet development, equipment specification, commissioning, and performance validation.

  • Support scale-up and industrialization of new products, technologies, and manufacturing processes.

  • Analyze operational performance using process data, advanced analytics, and structured problem-solving methodologies to identify sustainable improvement opportunities.

  • Drive digitalization initiatives by implementing modern process monitoring, data analytics, and performance management tools.

  • Collaborate closely with Operations, Engineering, Procurement, Product Development, and R&D teams worldwide.

  • Develop and maintain engineering standards, best practices, and process documentation.

  • Provide technical leadership and mentorship to engineers and plant teams.

  • Contribute to sustainability initiatives through improved resource utilization, water management, energy efficiency, and process reliability.

TECHNICAL EXPERTISE

Experience in one or more of the following areas:

  • Precipitation and mineralization processes

  • Slurry preparation and handling systems

  • Media stirred mills and wet grinding technologies

  • Flotation, filtration, thickening, and dewatering

QUALIFICATIONS

  • Bachelor's or Master's degree in Chemical Engineering, Process Engineering, Minerals Processing, Chemistry, or a related technical field.

  • 5+ years of experience in chemical processing, mineral processing, industrial manufacturing, or related industries.

  • Strong understanding of wet processing operations and process scale-up.

  • Experience supporting CAPEX projects and commissioning activities.

  • Experience with advanced data analytics, digital process monitoring, process modelling, machine learning applications, simulation software, or advanced process control is highly desirable.

  • Excellent communication and stakeholder management skills.

  • Fluent in English.

  • Willingness to travel internationally (approximately 30%)

CONTACT
Daniel Bolliger, HR Business Partner

Skills

Machine LearningProcurement

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