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Added 20 hours ago
B
Tech Lead - Application Development N 4C
BrightClaim
Montreal, QC
- Full-time
…and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run.…
Added 21 hours ago
T
Program Manager, Carrier Operations & Governance
Twilio
Remote, Canada
- Full-time
- Remote
…that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re…
Added 22 hours ago
EI
Factory Test Automation Lead
Ecolab Inc.
Calgary, AB
- Full-time
Experience with Python or similar programming languages for automation, test execution, or data processing.
Added 22 hours ago
BO
Canada | Toronto | Global Technology Summer Analyst - Software Engineer | 2027
Bank of America
Toronto, ON
- Volunteer
…and clients can effectively manage their finances and bank with us anytime,…
Added 23 hours ago
Programmer Analyst II
City of Regina
Regina, SK
Should have working experience with GIS Libraries and Frameworks like ArcGIS API for Python, ArcGIS JavaScript API, Leaflet, OpenLayers, and GDAL.
Added 23 hours ago
Programmer Analyst II
City of Regina
Regina, SK
Should have working experience with GIS Libraries and Frameworks like ArcGIS API for Python, ArcGIS JavaScript API, Leaflet, OpenLayers, and GDAL.
Added 23 hours ago
TI
2027 BrainBox AI Intern
Trane Italia
Montreal, QC
- Full-time
· Avoir de l’expérience avec des outils comme Python, SQL, Jira, Asana ou des outils semblables (un atout)
Added 23 hours ago
TI
2027 Accelerated Development Program - BrainBox AI
Trane Italia
Montreal, QC
- Full-time
Added 23 hours ago
V
Senior Data Scientist
Visa
Toronto, ON
- Full-time
Comfortable building data pipelines and working with large-scale data using tools like Spark, Airflow, SQL, or Python.
Added 23 hours ago
AI
Senior Platform Engineer
Apptoza Inc.
Toronto, ON
- Contract
SQL-based systems: SQL Server and PostgreSQL Data warehouses: Teradata, Redshift, Netezza ETL Tools
Added 23 hours ago
OM
Analyst, Data Management & Visualization
Omnicom Media
Toronto, ON
- Full-time
Working knowledge of SQL, and ideally Python or another data manipulation language.
Added 23 hours ago
UO
Analyst II, Systems (Applications)
University of the Fraser Valley
Abbotsford, BC
- Full-time
…Infosilem and Transact is an asset, HTML, CSS, Groovy/Java, PHP, Python, Javascript and automation scripting is…
Added 23 hours ago
IG
Software Developer
Insight Global
Newmarket, ON
- Full-time
Experience with Kotlin, Python, Redis, or event-driven architectures.
Added 23 hours ago
OW
Oliver Wyman - Software Developer - Data & Analytics (DNA) Team
Oliver Wyman
Montreal, QC
- Full-time
Expérience pratique récente avec Python et, idéalement, avec un autre langage serveur (C#, .NET, Java, Rust ou C++).
Added 23 hours ago
OM
Supervisor, Marketing Science
Omnicom Media
Toronto, ON
- Full-time
Partner with Data Engineering and Media teams to support data integration and reporting solutions.
Added 23 hours ago
NA
Systems Analyst, Application Development
Northern Alberta Institute of Technology
St. Catharines, ON · Main Campus
- Full-time
Work with data. Write and tune complex SQL. Troubleshoot data quality and survivorship issues across person, student and employee data, including master data management (MDM).
Added 1 day ago
A
Principal Data Analyst
Autodesk
Vancouver, BC · BC · Toronto, ON · ON · Montreal, QC · Quebec, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
This role combines deep product analytics judgment, strong SQL/Python capability, software engineering discipline, and practical fluency with modern AI tools. You will operate comfortably…
Added 1 day ago
R&
Principal Data Scientist, Agentic AI Technical Lead
Robots & Pencils
Canada
- Full-time
Familiarity with both SQL and NoSQL databases, including scalable design patterns
Added 1 day ago
AS
Senior Site Reliability / DataOps Engineer
Apex Systems
Toronto, ON
- $40 to $60 USD / hour
- Contract
Develop data processing and transformation solutions using PySpark, Python, and SQL .
Added 1 day ago
KI
PL/SQL Developer in Montreal, QC - Canada - Hybrid
KPG99 INC
Montreal, QC
- Contract
Expertise in DB2 UDB or PL/SQL with writing complex data retrieval queries and stored procedures
Added 1 day ago
AI
Lead Data Scientist
Alberta iGaming Corporation (AiGC)
AB · Greater Edmonton Metropolitan Area
- Full-time
…opportunity to help shape a new industry in the province. AiGC works with some of the world's largest gaming operators and is building the legal, regulatory, and operational frameworks that…
Added 1 day ago
E
Sr. Advisor Data Modernization
Enbridge
Calgary, AB
- Full-time
Expert, hands-on experience with Azure Databricks or comparable lakehouse/data engineering platforms, along with advanced proficiency in Python and SQL to design, optimize, automate, and…
Added 1 day ago
E
Sr. Advisor Data Modernization
Enbridge
Calgary, AB
- Full-time
Expert, hands-on experience with Azure Databricks or comparable lakehouse/data engineering platforms, along with advanced proficiency in Python and SQL to design, optimize, automate, and…
Added 1 day ago
MP
Lead Data Engineer (ITA7)
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
Hands-on experience with enterprise cloud data engineering technologies and programming languages such as SQL, Python, Java, Groovy, Spring Boot, Spark, Microsoft Fabric, Databricks, Azure…
Added 1 day ago
SS
Senior SharePoint / M365 Developer - Agentic AI
Spot Solutions Ltd.
Vancouver, BC
- Full-time
We're looking for a strong SharePoint / Microsoft 365 developer with:

Enbridge

Sr. Advisor Data Modernization

Calgary, AB, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 22, 2026
Experience: Candidates without a university degree require an additional 3 years of related experience.
Posting language: English
Posted: Oct 7, 2026

Original job description

Posting End Date:

October 21, 2026

Employee Type:

Regular-Full time

Union/Non:

This is a non-union position

At Enbridge, we are committed to delivering safe, reliable energy while advancing operational excellence, innovation, and sustainable growth. We are looking for a Sr. Advisor, Data Modernization to lead the delivery of the Liquids Pipelines data modernization roadmap and transform complex business needs into scalable, trusted, and decision-ready data solutions. In this role, you will collaborate across business, TIS, and operational teams to advance analytics, automation, AI capabilities, and data-driven decision-making, with a strong focus on operational performance and power cost optimization. You will also provide technical leadership and mentorship while helping establish sustainable data practices aligned with enterprise standards.

If you thrive in a fast-paced, collaborative environment and enjoy solving complex technical and operational challenges, we encourage you to apply today!

What You Will Do:

Lead the development and execution of the Liquids Pipelines Data Modernization roadmap, translating business strategy, operational needs, and stakeholder priorities into scalable data solutions and multiyear delivery plans.
Design and lead the delivery of scalable data pipelines, curated datasets, analytical solutions, and reusable assets using Azure Databricks, Python, SQL, Power BI, and related enterprise technologies.
Establish and champion data engineering, analytics, governance, quality, reconciliation, and documentation practices that support trusted and sustainable data products.
Lead complex analytics and automation initiatives focused on power cost optimization, operational performance, variance drivers, and commercial opportunities, translating insights into actionable recommendations for business leaders.
Direct the development of executive and operational dashboards, KPIs, reports, and analytical tools that enable effective decision-making and provide visibility into business and operational performance.
Partner with business stakeholders, TIS, and platform teams to align priorities, guide technical designs, evaluate trade-offs, resolve implementation challenges, and successfully move solutions from concept through sustainment, including opportunities to responsibly integrate AI, automation, and machine learning capabilities.
Advise on the strategy for integrating AI-enabled tools, automation agents, and machine learning capabilities into data modernization workflows, analytics products, and business processes.
Provide technical leadership and mentorship to Advisors, analysts, and students through coaching, design and code reviews, knowledge sharing, and constructive feedback to strengthen overall team capability.

Who You Are:

University degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Business Analytics, or a related discipline with 6 or more years of progressively responsible, directly related experience. Candidates without a university degree require an additional 3 years of related experience.
Expert, hands-on experience with Azure Databricks or comparable lakehouse/data engineering platforms, along with advanced proficiency in Python and SQL to design, optimize, automate, and troubleshoot complex data solutions.
Advanced experience with Power BI and Microsoft Excel, including data modeling, visualization, analytical logic, KPI development, and creating meaningful executive-level reporting.
Demonstrated experience translating complex business strategies and requirements into data architecture, technical requirements, data models, solution designs, reporting logic, and delivery roadmaps, with strong knowledge of data quality, governance, lineage, testing, and reconciliation practices.
Strategic and creative problem solver who can navigate ambiguity, analyze complex and non-standard challenges, identify relationships across systems, and develop practical, data-driven recommendations.
Influential and collaborative communicator with demonstrated ability to engage technical, non-technical, and leadership audiences, build stakeholder alignment, lead discussions and presentations, and coach and mentor others.
Demonstrate a growth mindset and commitment to continuous learning, remaining adaptable and resilient while building your knowledge of emerging data, analytics, automation, and AI technologies and applying new capabilities to evolving business needs.

Preferred:

Experience with Liquids Pipelines infrastructure and operations, energy management, power accounting, commercial structures, scheduling, budgeting/long-range planning, or operational performance analytics.
Experience leading production-grade data pipelines, automation solutions, AI-enabled tools or machine learning capabilities, and/or project management, agile delivery, change management, or data product ownership initiatives.

Working Conditions:

Typical Office Environment.
Minimal travel required.

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.

At Enbridge, we are dedicated to our core value of Inclusion. We are proud to be an Equal Opportunity 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 status, disability, or any other reason protected by federal, state, or local law. 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

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More about this job

Responsibilities

Lead the development and execution of the Liquids Pipelines data modernization roadmap to transform business needs into scalable data solutions. Collaborate with cross-functional teams to advance analytics, automation, and AI capabilities while providing technical leadership and mentorship.

Requirements

Requires a university degree in a relevant field and at least 6 years of progressively responsible experience. Candidates must possess expert hands-on experience with Azure Databricks, Python, SQL, and advanced data visualization tools.

Skills

Data modernization
Azure Databricks
Python
SQL
Power BI
Data engineering
Data governance
Data modeling
Analytics
Automation
Machine learning
AI integration
Technical leadership
Mentorship
Strategic planning
Stakeholder management

Benefits

Health insurance
Dental insurance
Disability insurance
Paid maternity leave
Paid parental leave
Retirement savings plan
Company stock
Paid time off
Paid holidays
Employee and family assistance program
Wellness program

Visa sponsorship

Not detected in the job text

Keywords

Data Modernization
Liquids Pipelines
Azure Databricks
Python
SQL
Power BI
Data Engineering
Data Governance
Artificial Intelligence
Machine Learning
Automation
Data Architecture
Data Modeling
KPI Development
Operational Performance
Power Cost Optimization
Cloud Platforms
Data Quality
Agile Delivery
Change Management
Data Product Ownership
Analytics
Business Intelligence
Technical Leadership
Mentorship
Stakeholder Engagement
Strategic Planning
Data Reconciliation
Reporting Logic
Lakehouse

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