Arcadis

Arcadis

Disaster and Climate Resilience Co-op

Vancouver, BC, Canada · Intern · Internship

Sponsorship not specified$28k-$42kDetected 8 days ago
Data AnalysisBusiness DevelopmentExcelResearchGISCommunicationPublic SpeakingOrganizational SkillsMicrosoft Office

About the role

  • We are seeking a co-op student to join the Disaster and Climate Resilience Solutions Team in Vancouver, British Columbia for Fall 2026, starting in September.
  • This position will work directly with Arcadis Canada staff in the Disaster and Climate Resilience Solutions team.
  • The work spans across different climate hazards, risks, and solutions in different sectors (transportation, water and wastewater, urban planning, and government).

Responsibilities

  • Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
  • With the power of many curious minds, together we can solve the world's most complex challenges and deliver more impact together.
  • You will join a team of forward-thinking practitioners, our work combines creativity, science, engineering, and policy design to deliver practical, innovative solutions for disaster risk management and climate adaptation in Canada.

Requirements

  • The ideal candidate is highly organized, capable of managing multiple tasks concurrently, and comfortable working collaboratively within interdisciplinary teams.
  • Proficiency in Microsoft Office Suite (Excel, PowerPoint, Word) is essential, and experience with GIS or data analysis tools is considered an asset.

Compensation

  • $28k-$42k

Company info

  • We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life.

Visa & Work Authorization

  • ce, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law

This listing is sourced directly from Arcadis's careers page and normalized into a canonical job model.