IT & data jobs in Canada

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Added 22 days ago
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Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Own the design, development, modernization, and operation of scalable data platforms, pipelines, and data products supporting digital experiences, investment analytics, management…
Added 22 days ago
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Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Design, build, and support scalable data pipelines, models, and analytical data products that enable deeper business insights and data-driven decision-making. This role combines hands-on…
Added 22 days ago
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Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Design and deliver scalable data, analytics, and automation solutions that transform complex business processes and enable new capabilities across the organization. This role combines…
Added 22 days ago
AF
Technical Support Representative – RSEC Team (Canada)
Armstrong Fluid Technology
Toronto, ON
- Full-time
Added 22 days ago
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Systems Analyst
P&H
Cambridge, ON
- Full-time
Added 22 days ago
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Senior Oracle Database Administrator (DBA)
Raise
Calgary, AB
- Full-time
Validate database objects, data consistency, performance, security, jobs, interfaces, and operational monitoring following migration.
Added 22 days ago
S&
Data Engineer
Silk & Snow
Toronto, ON
- Full-time
We are seeking a versatile and highly motivated Data Engineer to join our data analytics and reporting team. This role is critical in bridging the gap between raw data and actionable…
Added 22 days ago
PI
Senior Data Engineer
PENN Interactive
Canada
- Full-time
As a Senior Data Engineer, you’ll work hand-in-hand with the Data Services team to build, validate and deliver transformed data to meet stakeholder requirements. The ideal candidate has…
Added 22 days ago
ZS
Data Architect - Technical Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Data Architect - Technical Architect
Added 22 days ago
NB
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 22 days ago
Linux Systems Administrator / Engineer
Digital Extremes
London, ON
Added 22 days ago
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GCP Data Engineer
Ardent SoftSol Inc.
Toronto, ON
- Contract
We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling.…
Added 22 days ago
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Cybersecurity Specialist- Research and Scientist
Galent
Toronto, ON
- Contract
Added 22 days ago
Technical Business Analyst
Scotiabank
Toronto, ON
Analyze business processes, system workflows, and data flows to identify impacts, evaluate solution options, and translate business requirements into clear functional and technical…
Added 22 days ago
MS
GCP Data Engineer
Millennium Software and Staffing Inc
Toronto, ON
- Contract
Job Description: CGEMJP00360882 - GCP Data Engineer 2 - Toronto, CA (Onsite)
Added 22 days ago
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Data Analyst
CI Financial
Toronto, ON
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 22 days ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Added 22 days ago
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Data Engineer
CDAI
Toronto, ON
- Full-time
Hybrid: 4 Days in Office
Added 22 days ago
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Bilingual Data Analyst
Cyient
Longueuil, QC
- $75,000 to $80,000 CAD / year
- Full-time
Work with structured operational data using Python and Excel to clean, analyze, and compute insights
Added 22 days ago
IG
Data Architect
Insight Global
Toronto, ON
- $90 to $91 CAD / hour
- Contract
Insight Global is seeking a Solution Architect to support a major Wealth Data & Analytics transformation initiative. This individual will play a key role in defining and governing…
Added 22 days ago
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Data Engineer - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
At Slalom, we co-create custom software, data, AI, and cloud solutions with clients who are ready to accelerate their digital transformation. We are passionate about technology and its…
Added 22 days ago
B&
Database Administrator
Butterfield & Robinson
Toronto, ON
- Full-time
The Database Administrator at Butterfield & Robinson thrives on solving complex data challenges, enjoys working across multiple database environments, and takes pride in clean, reliable…
Added 22 days ago
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Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
At Slalom, we co-create custom software, data, AI, and cloud solutions with clients who are ready to accelerate their digital transformation. We are passionate about technology and its…
Added 22 days ago
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Data Engineer - Canada Region
Slalom
Calgary, AB
- Full-time
At Slalom, we co-create custom software, data, AI, and cloud solutions with clients who are ready to accelerate their digital transformation. We are passionate about technology and its…
Added 22 days ago
Data Governance and Management - Data Analyst
Mohawk Medbuy Corporation (MMC)
Toronto, ON
…redevelopment) and nutrition solutions. Other services include data analytics, in-hospital logistics, warehousing, technology, procure-to-pay and accounts…

BMO

Data Engineer

Toronto, ON, Canada
FCP, Canada

$65,000.00 - $140,000.00 · Full-time

Apply on bmo.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: $65,000.00 - $140,000.00
Job type: Full-time
Experience: 5+ years of experience in data engineering, analytics engineering, ETL development, or a related discipline, with experience building and supporting production data solutions.
Posting language: English
Posted: Oct 20, 2026

Original job description

Application Deadline:

11/06/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

Design, build, and support scalable data pipelines, models, and analytical data products that enable deeper business insights and data-driven decision-making. This role combines hands-on data engineering with business and analytical acumen to integrate complex data sources, automate data preparation, and deliver trusted, well-governed datasets across cloud and hybrid environments.

Key Engineering Responsibilities

Design, develop, test, and support production-grade data pipelines and analytical data products, transforming data from multiple sources into curated, business-ready datasets.
Integrate and transform data across databases, APIs, files, enterprise applications, spreadsheets, and approved external data sources.
Build scalable data models that enable consistent business definitions and support analytics, reporting, and downstream applications.
Automate recurring data preparation and transformation processes, reducing manual effort and improving the timeliness, consistency, and reliability of data delivery.
Develop data solutions using Python, SQL, SAS, AWS Glue, Athena, PySpark/Spark, APIs, and cloud-based data services, applying established engineering patterns and standards.
Embed data-quality and operational controls through validation, reconciliation, exception handling, logging, monitoring, and automated testing.
Support production data products, monitoring scheduled workloads, troubleshooting failures and data issues, and implementing sustainable solutions.
Apply modern software-engineering practices, including version control, unit and integration testing, code reviews, CI/CD, documentation, and production-readiness standards.
Partner with business, analytics, and technology teams to translate requirements into maintainable data models, pipelines, and analytical solutions.
Support modernization of legacy data and reporting processes, including spreadsheet- and SAS-based workflows, while preserving required business logic and controls.

Investment Data & Analytics

Develop working knowledge of investment products and structures, including mutual funds, ETFs, pooled funds, segregated mandates, separately managed accounts, fixed income, equities, alternatives, and cash instruments.
Work across investment and business data domains, including products, clients, accounts, distribution channels, AUM, flows, revenue and fees, holdings, transactions, portfolios, and reference data.
Build analytical datasets and models that connect product, client, distribution, and investment data to support meaningful business insights.
Apply business rules and data-quality controls to financial and investment data, identifying inconsistencies and escalating unclear definitions or control gaps.
Partner with business and data SMEs to understand data meaning, preserve critical business logic, and translate analytical requirements into scalable data solutions.

Required qualifications

5+ years of experience in data engineering, analytics engineering, ETL development, or a related discipline, with experience building and supporting production data solutions.
Bachelor’s degree in computer science, engineering, data, or a related discipline, or equivalent practical experience.
Strong proficiency in Python and SQL, with hands-on experience in data transformation, automation, validation, performance optimization, and troubleshooting.
Experience with modern data engineering patterns, including ETL/ELT, data integration, orchestration, relational and dimensional modelling, data warehousing, and distributed data processing.
Experience integrating data from databases, APIs, files, enterprise applications, and external data sources.
Experience designing and supporting data models and curated datasets used for analytics, reporting, or downstream applications.
Hands-on experience with cloud-based data platforms, preferably AWS, or strong experience across enterprise on-premises and hybrid data environments.
Understanding of data quality, reconciliation, error handling, logging, security, monitoring, and operational controls.
Experience with Git, automated testing, documentation, and structured software-development practices.
Strong communication, analytical, problem-solving, and prioritization skills, with the ability to work effectively across technical and business teams.

Preferred qualifications

Experience in asset management, wealth management, banking, capital markets, distribution analytics, product analytics, or financial and management reporting.
Working knowledge of investment products and business measures, with the ability to translate analytical questions into reliable datasets and data models.
Experience with modern data platforms and technologies such as AWS data services, Databricks, Snowflake, Redshift, AWS Glue, Airflow, dbt, Spark/PySpark, Power BI, or comparable technologies.
Experience modernizing legacy data and reporting solutions, including SAS, TIBCO IBI WebFOCUS, spreadsheet-driven processes, or other legacy platforms.
Familiarity with CI/CD, APIs, automated testing, data migration, and cloud modernization practices.
Exposure to AI/ML or advanced analytics workflows and the data engineering patterns that enable them.

What Success Looks Like

Reliable, well-tested, and maintainable data products that deliver complete, timely, and trusted data for analytics and decision-making.
Reduced manual data preparation and processing through practical automation and reusable engineering components.
Consistent and reusable data models that improve how business, client, product, distribution, and investment data is consumed across analytical solutions.
Fewer data-quality issues and reporting breaks through effective validation, reconciliation, monitoring, and exception handling.
Strong operational readiness through clear documentation, lineage, monitoring, runbooks, and support practices.
Growing investment-domain expertise, connecting technical implementation with business context and asset-management outcomes.

Salary:

$65,000.00 - $140,000.00

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 on bmo.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

Design, build, and support scalable data pipelines and analytical products to enable data-driven decision-making. Integrate complex data sources and automate preparation processes to deliver trusted, well-governed datasets.

Requirements

Requires at least 5 years of experience in data engineering or a related field and a bachelor's degree in a relevant discipline. Strong proficiency in Python, SQL, and cloud-based data platforms is essential for this role.

Skills

Python
SQL
AWS Glue
PySpark
Data engineering
ETL development
Data modeling
Cloud platforms
Data quality
Git
CI/CD
API integration
Data warehousing
Automation
Analytical acumen
Financial data

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
Python
SQL
AWS
ETL
ELT
PySpark
Data Modeling
Cloud Computing
Data Pipelines
API
Git
CI/CD
Data Quality
Investment Data
Asset Management
Automation
Data Warehousing
Athena
Databricks
Snowflake
Redshift
Airflow
dbt
Power BI
SAS
Financial Reporting
Distributed Data Processing
Software Engineering
Data Analytics

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IT & data jobs in Canada