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Added 12 mins ago
Senior Security Engineer - Identity and Access Management
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Remote, Canada
Full-time · Remote
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Added 24 mins ago
Business Analyst
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Canada
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Experience with Jira, Confluence, Azure DevOps, or similar tools.
Added 24 mins ago
Quality Engineering III
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Added 24 mins ago
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Directeur de projet Sr
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Experience with DevOps tools and change management practices (an asset).
Added 24 mins ago
Cloud Administrator – Microsoft Azure
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Experience with Azure DevOps, GitHub Actions, GitLab CI/CD, or Jenkins;
Added 24 mins ago
Systems Analyst III - Health & Welfare Benefits Implementations
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Added 24 mins ago
Senior Microsoft Azure Developer
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Full-time
Techso is looking for a Senior Microsoft Azure Developer to contribute to large-scale projects for one of its clients located in Montreal.
Added 24 mins ago
Senior Data Engineer (Microsoft Fabric) | 6 months Contract | Vancouver-(Hybrid)
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Develop, configure, and maintain CI/CD pipelines using Azure DevOps to enable efficient, repeatable, and automated deployment of data solutions across all environments.
Added 24 mins ago
Business System Analyst
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Toronto, ON
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DevOps practices including CI/CD, Jenkins, test automation
Added 24 mins ago
ServiceNow Administrator
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Experience with DevOps tools and change management practices (an asset).
Added 24 mins ago
Drupal Developer
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Contract
Familiarity with Azure DevOps, GitHub Actions, Jenkins, or GitLab CI/CD.
Added 42 mins ago
Cloud Analyst
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Full-time
Knowledge in DevOps environments and the use of automation to deliver business value.
Added 42 mins ago
Salesforce CRM Developer
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Mississauga, ON
Full-time
We are seeking a Salesforce Developer to design and deliver scalable CRM solutions on Salesforce Sales Cloud and Service Cloud. This role contributes to the development of high-quality…
Added 42 mins ago
Sr. Consultant, Solution Design
CIBC
Toronto, ON
Full-time
…Microsoft Graph API, Microsoft Teams, Microsoft 365, Azure DevOps, Git, Docker, Kubernetes, OAuth, OpenID Connect, and Microsoft Entra ID. It’s an asset if you have experience with Power…
Added 56 mins ago
Software Engineer I
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Toronto, ON
Full-time
Full stack developer spending time on Coding, designing/solution, analysis and documentation.
Added 56 mins ago
Solution Architect (Databricks)
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Toronto, ON
Full-time
…engineering, data modeling, Medallion Architecture, Unity Catalog, and DevOps/CI/CD practices. This is a senior, client-facing role requiring strong technical leadership as well as the…
Added 58 mins ago
QNX DevOps Developer II
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Full-time
…tandem with the product and services engineering teams, your DevOps team role will provide you with exciting opportunities to optimize and improve infrastructure to deliver the QNX® product…
Added 58 mins ago
Senior Manager - Risk Consulting - FSRM Fraud
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Toronto, ON
Experience with Agile delivery, DevOps, release management and modern delivery models in environments where agile ceremonies are tied to actual delivery outcomes.
Added 58 mins ago
Full Stack Software Developer
Symbiotic Digital
ON · Downsview Central, Ontario
Contract
We are seeking a senior-level Full Stack Developer with
Added 1 hour ago
Data Engineer
GEI Consultants, Inc.
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Full-time
Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
Added 1 hour ago
Salesforce Functional Lead
Lorven Technologies Inc.
Toronto, ON
Contract
Experience with Agile delivery, Jira, confluence and DevOps pipelines in enterprise settings
Added 1 hour ago
Head of Information Security and Compliance
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Canada
Full-time
…hands-on, role that partners closely with infrastructure, cloud, DevOps, application development, and business leaders to drive security strategy, risk management, operational security, and…

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.

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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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