Hydrogen Production Process Engineer (Data-Driven)

Nel Hydrogen

Porsgrunn, Skien

On-site

NOK 650,000 - 900,000

Full time

4 days ago
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Benefits offered by this job

Competitive compensation
Pension and insurance
Global cross-functional interfaces

Job summary

Nel Hydrogen is seeking a Process/Mechanical Engineer to support stable and efficient electrode production at our highly automated facility at Herøya. You will work close to production, with a focus on welding processes, material technology, process data, and product quality.

This role can be a good fit for both candidates with relevant engineering experience and recent graduates with a strong interest in production, materials, process improvement and data-driven problem solving.

Qualifications

  • Bachelor's or Master's degree in a relevant engineering field is required or highly valued.
  • Experience with automated production and data-driven problem solving is a plus.
  • Interest in welding processes and materials technology is preferred.

Responsibilities

  • Follow up daily operations on an automated electrode production line focusing on welding and quality.
  • Apply materials knowledge to support stable, efficient production.
  • Use process data and ML tools to monitor, troubleshoot and drive improvements.
  • Apply Lean principles and support cross-functional improvement initiatives.
  • Train operators and contribute to HSE, quality, and KPI performance.

Skills

Process engineering
Materials technology
Welding processes
Data analytics
Lean manufacturing
Machine learning

Education

BSc or MSc in Mechanical Engineering, Materials Technology, Process Engineering

Tools

Machine learning tools
Data analytics software

Job description

Nel Hydrogen is seeking a Process/Mechanical Engineer to support stable and efficient electrode production at our highly automated facility at Herøya. You will work close to production, with a focus on welding processes, material technology, process data, and product quality.

This role can be a good fit for both candidates with relevant engineering experience and recent graduates with a strong interest in production, materials, process improvement and data-driven problem solving.

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