Engineer in Training II EDIMP Risk
North York, Canada
Posting End Date:
March 17, 2025Employee Type:
Regular-Full timeUnion/Non:
This is a non-union positionDo you have experience in Pipelines Integrity Assessment and Management? Do you like working with an amazing team? If yes, we are looking for an individual with a passion for learning to join our team!
In this role, you will ensure integrity programs for assets within the Enhanced Distribution Integrity Management Program (EDIMP) scope are developed, carried out, and effective. You will also provide technical support for distribution assets on integrity matters and play a lead role in preparing technical material.
Apply today! We offer opportunities for growth, flexible work, competitive benefits and pension plan, and generous time off. #joinourteam
What You Will Do:
Support the data, process, modelling development and enhancements for Enhanced Distribution Integrity Management Program (EDIMP) program
Perform analysis and assessment of the operational reliability and risk of integrity programs using a consistent framework consistent with the GDS Risk governance requirements.
Support Integrity software implementation, administration, enhancements, and support for Integrity sub-programs including data stewardship of Integrity datasets used in Integrity assessments
Support the development, enhancements, accuracy, validation, implementation, and QA of risk models for EDIMP using quantitative risk assessment methodologies and modelling expertise
Perform root cause analysis, risk refinement and what-if assessments to quantify the impact of possible remedial actions.
Support continued evolution of the integrity risk modelling approach including cross-business unit collaboration and understanding of industry trends and best practices
Use engineering statistics, diagnostics, simulations, machine learning, and data analytics to support effective integrity & risk decisions
Who You Are:
Engineering degree with 2 years of experience
Relevant industry experience in conducting and managing quantitative risk assessments (QRAs), especially FTA, ETA and consequence analysis considered an assetRelevant work experience including pipeline engineering, station engineering, integrity management, and risk assessment considered an asset
Experience building analytical models, statistical modelling, applied data science, machine learning, model evaluation considered an asset
Proficient in computer science concepts and experience in various coding languages (e.g. SQL, VB, Python, etc.)
Excellent communication and presentation skills
Working Conditions:
Office environment.
0-5% of travel is required.
Enbridge provides competitive workplace programs that differentiate us and offer flexibility to our team members. Enbridge’s FlexWork (Hybrid Work Model) offers eligible employees the opportunity to work variable daily schedules with a flexible start and end time, to opt for a compressed workweek schedule, or the option to work from home on Wednesdays and Fridays. Role requirements determine your eligibility for each option. #LI-Hybrid
Diversity and inclusion are important to us. Enbridge is an Equal Opportunity and Affirmative Action Employer. We are committed to providing employment opportunities to all qualified individuals, without regard to age, race, color, national or ethnic origin, religion, sex, sexual orientation, gender identity or expression, marital status, family status, veteran status, Indigenous/Native American status, or disability. Applicants with disabilities can request accessible formats, communication supports, or other accessibility assistance by contacting careers@enbridge.com.
Information For Applicants:
- Applications can be submitted via our online recruiting system only.
- We appreciate your interest in working with us; however, only those applicants selected for interviews will be contacted.
- Final candidates for this position may be required to undergo a security screening, including a criminal records check.
To learn more about us, visit www.enbridge.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Analytics Engineering Machine Learning Pipelines Python Security SQL Statistics
Perks/benefits: Career development Flex hours Flex vacation
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