About The Position

Grow your career. Be the difference. Leading the commercialization of ground-breaking technology that captures CO₂ directly from air is challenging and exhilarating. As a member of the CE team, you’ll be surrounded by smart, adventurous, curious people committed to progressing our Direct Air Capture (DAC) and AIR TO FUELS™ technologies. We’re a diverse team of innovators hailing from around the world with a shared vision, purpose, and commitment to deliver large scale climate change solutions. Our headquarters is in Squamish, B.C., and our presence is expanding in many other markets around the world as we commercialize our technologies Our culture combines our heritage as a small company with our ambitious goals. We have a passion for what we do and believe our work will have a true and lasting impact on the world. Many of our employees are drawn to CE because of the direct connection between the game-changing work we do and their own personal values. At our core, Carbon Engineering values integrity, growth, excellence in execution, and fun. This is an environment where people matter, and contributions are noticed. Our employees work hard and are given the opportunity to learn and grow from mistakes. Diversity is embraced, and we value an inclusive work environment where every employee has an equal opportunity to be heard. We work in a dynamic environment and thrive on tackling rewarding and complex problems as a team. Position Scope Reporting to the Senior Systems Engineer, Advanced Automation and Data Integration, the selected candidate will collaborate with the Process Systems Engineering team applying a range of tools and techniques to deliver process modelling, data analytics, advanced automation, and process intelligence solutions. The primary objective is to contribute to projects that enhance CE’s technologies and improve operations for the broader CE team. This position is an 8 month or longer co-op term. Start dates are flexible. This position is on-site and based in Squamish, BC. The work schedule follows a M-F, 40hrs/week schedule. Relocation support is provided, including first 4 weeks company paid accommodation. This position pays $22-26/hour. Expected start date is September 2026. Health, Safety and Environment: Demonstrate a positive safety culture. Identify, report and resolve unsafe conditions, processes or actions within the workplace. Ensure that all safety related incidents, accidents and near misses are reported and investigated in line with company policy.

Requirements

  • Completed second year Chemical Engineering, Process Engineering, or Electrical & Computer engineering with coursework and/or experience related to process automation and controls, industrial automation systems, relational databases, graphical user interface and front-end development.
  • Experience with technical computing and data analysis in Python.
  • Strong communication skills, both written and verbal, to effectively collaborate with team members and share ideas.
  • Curiosity and a willingness to learn, especially in fast-paced or evolving technical environments.
  • Adaptability and problem-solving mindset, with the ability to navigate ambiguity and contribute to creative solutions.
  • Team-oriented attitude, with a focus on collaboration, respect, and mutual support.
  • Time management and organizational skills, to balance multiple tasks and meet deadlines efficiently.
  • Attention to detail, ensuring accuracy and quality in both technical and non-technical work.

Nice To Haves

  • Experience with OSI-PI, Asset Framework and PI Vision
  • Experience with data visualization tools, such as Power BI, Matplotlib, Seaborn, Bokeh or ParaView
  • Experience with formulating SQL queries
  • Experience in web app development; FastAPI, React, Streamlit.

Responsibilities

  • Support the adoption and maintenance of various data apps.
  • Maintain and improve the implementation of process metrics, diagnostics and associated visualizations.
  • Support the integration and testing of advanced process controls and soft sensors.
  • Support data migration, and end-user adoption for published apps.
  • Contribute to Continuous improvement of in-house apps.
  • Validate and Maintain asset templates that reflect their functional/logical attributes.
  • Demonstrate, test and refine with feedback from target audience.
  • Using plant simulations, test supervisory control strategies and integration thereof.
  • Support the development and testing of soft-sensor systems which intelligently combine information from data historian, process models, lab tests and real-time instrumentation.

Benefits

  • Relocation support is provided, including first 4 weeks company paid accommodation.
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