Engineer in Training (Hybrid: Edmonton, AB) - Remote

at  Enbridge Contingent Talent Community

Work options: Hybrid

• 1 Year Contract
• Hybrid: 10175 101st NW, Edmonton, Alberta, T5J 0H3

At Enbridge, our goal is to be the first-choice energy delivery company in North America and beyond—for customers, communities, investors, regulators and policymakers, and employees.
To meet that goal, Enbridge is partnering with Raise—a leading recruitment firm that specializes in IT, Technical, and Engineering staffing.
Together, Raise and Enbridge are building teams that are rising to meet the growing energy needs of North America. If you’re looking for a challenging role that will make the most of your skills while allowing you to make an impact, this is it.
Enbridge is hiring a Engineer in Training right now—when you apply, Raise will review your application within 48 hours and contact qualified applicants for interviews.

SPECIFIC ACCOUNTABILITIES:

• Works under the direction of Leak Detection subject matter experts and Project Managers.
• Performs statistical analysis of large data sets.
• Performs routine maintenance tasks on leak detection models which includes reviews of alarms, displays, overrides, model diagnostics, and data files.
• Performs datapath commissioning.
• Performs updates to model configurations.
• Creates/reviews/updates documention.
• Support the Development and updating rollout plans.
• Creates/updates procedures and training materials.
• Provides forecasts for work tasks, and provides progress updates.
• Actively participates in the Enbridge safety culture.

KNOWLEDGE, SKILLS & ABILITIES:

• EIT or University Business degree Graduate and 1-2 years’ experience OR an equivalent mix of formal education and experience.
• Ability to think analytically and perform detailed analysis on large sets of data.
• Able to coordinate multiple projects with defined timelines.
• Knowledge in pipeline Hydraulics and computer programming experience, is a definite assett.
• Knowledge or experience using real-time transient model software and/or statistical modeling software
• Ability to work in a fast paced and dynamic environment.
• Effective communication, facilitation, customer service, and problem-solving skills.
• Excellent knowledge of Microsoft Office applications.

Please refer the Job description for details