Engineer in Training I supporting integrity planning across Gas Transmission and Midstream assets. Transforming data into decision-ready information for safety and compliance.
Responsibilities
Maintain, improve, and ensure the validity of critical master and reference data by identifying and resolving data gaps, inconsistencies, and integration issues in collaboration with IRM teams to support integrity management and sound decision-making.
Assist with records management activities for digs, inspection runs, repairs, and Quality Assurance / Control documentation to maintain traceability back to physical assets.
Collaborate with stakeholders on the development of data quality rules, validations checks, and automated data health routines to ensure acceptance criteria can be applied to IRM datasets.
Learn pipeline and facility integrity threat identification techniques for threat management programs to assist planning inspections, mitigations, and repairs to keep assets compliant and safe.
Advance utilization of unified data analytics platform to support preparation of audit-ready datasets that can be traced, explained, and reproduced.
Support the design of well-structured integrity data schemas while promoting enterprise-aligned data governance best practices and continuous data quality improvement.
Help establish or transform integrity management data sets to integrate into future machine learning platforms and enable decision making processes and effectiveness.
Requirements
Bachelor’s degree in engineering with a focus on data / computer science, geomatics / GIS, or a closely related discipline.
Up to 2 years of previous related experience, post university graduation.
Foundational understanding or strong interest in integrity management concepts, asset lifecycle management, and regulatory compliance.
Demonstrated experience in at least one area including data analytics and reporting, working with structured datasets, enabling operational or engineering decisions through data, or building tools to improve and automate workflows.
Experience in a scripting language, SQL fundamentals (querying, joins, filtering, aggregations), visualization tools, application programing interface (API), and building automations is an asset.
Certification in data & analytics (e.g., Azure Data Fundamentals, Databricks Data Engineer Associate, or Fabric Analytics Engineer Associate) is preferred.
Benefits
A flexible benefits program that allows each employee to select the level of coverage needed for their family in the areas of health, dental, insurance and disability.
A paid maternity and parental leave benefit that offers up to 20 weeks of paid leave for birth-giving parents and up to 12 weeks for other eligible parents, providing flexibility and support during this important life event.
Valuable retirement savings plans, including a savings plan with company stock as an investment option.
Paid time off/vacation/sick, plus paid personal days off (depending on location), and paid holidays.
An Employee and Family Assistance Program.
A Wellness Program, which focuses on supporting healthier employees by providing tools, resources, and opportunities to improve physical, mental, social, and financial well-being.
Enbridge’s FlexWork (hybrid work model) offers eligible employees (Manager and below) the option to work from home on Wednesdays and Fridays, opt for a compressed work week schedule, or have flexible start and end times. Role requirements determine your eligibility for each option.
Job title
Engineer in Training I – Data Intelligence, Decision Support
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