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Added 19 mins ago
Enterprise Applications Administrator
dentalcorp
Toronto, ON · Support Centre - Toronto Office
Full-time
…Organized, curious, and accountable, you communicate clearly with technical and non-technical stakeholders, build productive relationships with users, vendors, and Technology partners, and…
Added 19 mins ago
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Full-time
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Added 19 mins ago
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For complementary skills, please see above and/or contact the recruiter.
Added 19 mins ago
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Added 19 mins ago
Intermediate Data Engineer
BMO
Toronto, ON · SCC
Full-time
Participate in Agile ceremonies, technical design discussions, and estimation activities.
Added 19 mins ago
Regional Director, High Net Worth Wealth Planning
BMO
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Added 19 mins ago
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Added 33 mins ago
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Added 34 mins ago
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Journeyman Automotive Technician - Guelph Hyundai
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Added 2 hours ago
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Added 2 hours ago
Talent Acquisition Specialist
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Toronto, ON
Full-time
Our Engineering and Product teams are expanding, and we are looking for a talented Technical Recruiter to join our growing Talent Acquisition team on a on a 12 month fixed term basis, with…

BMO

Intermediate Data Engineer

Toronto, ON, Canada
SCC, Canada

Pay: $55,500.00 - $120,000.00
Job type: Full-time
Apply by: Oct 12, 2026
Posting language: English
Posted: Sep 21, 2026

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Original job description

Application Deadline:

10/11/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Technology

Position Summary

The Data Engineer is responsible for designing, building, and supporting scalable data solutions that enable analytics, reporting, regulatory, and operational business processes. Working as part of the Data Engineering team, the successful candidate will develop and maintain data pipelines, data integration solutions, data models, and cloud-based data platforms.

The role will participate in the implementation of modern data technologies including Microsoft Fabric, cloud data platforms, data warehousing, and AI-enabled data solutions. The candidate will work closely with business stakeholders, data analysts, architects, and technology teams to deliver reliable, secure, and high-quality data products.

Key Responsibilities

Design, develop, test, and maintain batch and real-time data pipelines.
Build and support ETL/ELT solutions using modern cloud-based technologies.
Develop and optimize data ingestion, transformation, and consumption layers.
Support data integration across enterprise platforms and source systems.
Implement data quality, reconciliation, and validation controls.
Assist with production support activities, root cause analysis, and issue resolution.
Participate in migration and modernization initiatives involving Microsoft Fabric, cloud data platforms, and enterprise data warehouses.
Develop reusable frameworks, automation utilities, and monitoring capabilities that improve operational efficiency.
Collaborate with architects and senior engineers on data modelling, platform design, and solution implementation.
Contribute to CI/CD implementation, automated testing, and DevOps practices.
Work with governance and security teams to ensure compliance with enterprise data management standards.
Participate in Agile ceremonies, technical design discussions, and estimation activities.
Create technical documentation and support knowledge transfer activities.

Microsoft Fabric & AI Responsibilities

Design and develop data solutions using Microsoft Fabric including Data Factory, Lakehouse, Data Warehouse, Notebooks, and Real-Time Intelligence capabilities.
Develop and optimize ELT pipelines within Microsoft Fabric.
Implement Medallion Architecture patterns (Bronze, Silver, Gold) for enterprise data products.
Build data models and curated datasets to support analytics and reporting workloads.
Collaborate with AI and analytics teams to prepare data for machine learning and generative AI use cases.
Develop AI-assisted operational solutions using Microsoft Copilot, Fabric AI capabilities, and intelligent automation frameworks.
Support implementation of metadata management, lineage, and data observability capabilities.
Participate in pilot initiatives involving AI-driven data quality monitoring, impact assessment, operational intelligence, and self-healing data pipelines.

Required Skills

Data Engineering

SQL
Python
Data Warehousing
Data Modelling
ETL/ELT Development
Data Integration
Cloud Data Platforms
Performance Optimization
Data Quality Management
Source-to-Target Mapping

Microsoft Fabric

Microsoft Fabric
Fabric Data Factory
Fabric Lakehouse
Fabric Data Warehouse
Fabric Notebooks
OneLake
Medallion Architecture
Spark Fundamentals

AI & Automation

Generative AI Concepts
AI-Assisted Development Tools
Microsoft Copilot
Prompt Engineering Fundamentals
Data Preparation for Machine Learning
Intelligent Process Automation
Metadata and Data Lineage Concepts

Salary:

$55,500.00 - $120,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Apply About employer

More about this job

Responsibilities

The Data Engineer designs, builds, and maintains scalable data pipelines and integration solutions using cloud-based technologies. They collaborate with cross-functional teams to implement data models, ensure data quality, and support AI-enabled data products.

Requirements

Candidates must possess strong skills in SQL, Python, and modern data engineering practices including ETL/ELT and cloud platforms. Experience with Microsoft Fabric, data modeling, and AI-assisted development tools is required for this role.

Skills

Data Engineering
SQL
Python
Data Warehousing
Data Modelling
ETL/ELT
Data Integration
Cloud Data Platforms
Microsoft Fabric
Fabric Data Factory
Fabric Lakehouse
Spark
Generative AI
Prompt Engineering
Data Quality Management
Metadata Management

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
Python
Data Warehousing
Data Modelling
ETL
ELT
Cloud Data Platforms
Microsoft Fabric
Fabric Data Factory
Fabric Lakehouse
Medallion Architecture
Spark
Generative AI
Microsoft Copilot
Prompt Engineering
Data Quality
Metadata Management
Data Lineage
CI/CD
DevOps
Agile
Data Integration
Performance Optimization
Machine Learning
Intelligent Automation
Data Governance
Operational Intelligence
Batch Processing
Real-time Intelligence

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