Hands-On Process Engineer: Post-Harvest & Packaging

Supernormal Greens AB (publ)

Tibro kommun

On-site

SEK 550,000 - 700,000

Full time

14 days+

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Benefits offered by this job

Collective bargaining agreement
Annual wellness allowance SEK 3,000

Job summary

Supernormal Greens AB (publ) in Tibro, Sweden, is seeking an engineer to understand and optimize the post-harvest process from washing to packing, improving quality and stability of production. You will work closely with production, maintenance, quality and R&D, and influence equipment choices and ways of working.

You will join a team developing and commissioning the process, with ample testing and data-driven trials to drive better outcomes and learnings across the plant.

Qualifications

  • A relevant engineering degree or equivalent experience.
  • Strong data-driven approach to identify improvements.
  • Clear communication in English for supplier and team.
  • Structured, practical mindset and teamwork.
  • Swedish language is a plus.

Responsibilities

  • Understand the post-harvest process and identify capacity or yield improvements.
  • Plan trials, analyze data, and validate performance gains.
  • Collaborate with operators and technicians to solve root causes.
  • Support introduction of new equipment into production with FAT/SAT and commissioning.
  • Create lasting improvements with documentation and standard work.
  • Share learnings and help train operators and maintenance teams.

Skills

Engineering degree
Data analysis
English proficiency
Problem solving
Team collaboration

Education

Engineering degree

Job description

Supernormal Greens AB (publ) in Tibro, Sweden, is seeking an engineer to understand and optimize the post-harvest process from washing to packing, improving quality and stability of production. You will work closely with production, maintenance, quality and R&D, and influence equipment choices and ways of working.

You will join a team developing and commissioning the process, with ample testing and data-driven trials to drive better outcomes and learnings across the plant.

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