Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 23 days ago
S
Cloud DevOps
SOTI
Mississauga, ON
- Full-time
Highly proficient in at least one scripting language (PowerShell, Python).
Added 23 days ago
AI
Cloud DevOps Engineer - Azure, Terraform, Kubernetes, CI/CD & Data Platforms
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Hands-on experience with Python is essential.
Added 23 days ago
MC
DevOps Specialist - Kubernetes (35700)
Myticas Consulting
Ottawa, ON
- Full-time
Proficiency with scripting and automation using PowerShell, Python, or similar languages
Added 23 days ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Use Python/Pandas for data preparation, automation and analysis.
Added 23 days ago
PM
Intern, Data Engineer (8 Months)
Picton Mahoney Asset Management
Toronto, ON
- Internship
PICTON Investments is presently seeking a dynamic Intern, Data Engineer with a passion about Asset Management to join our Digital Product team for an 8 month internship. The Intern will…
Added 23 days ago
OH
Senior Quality Assurance Engineer
Ontario Health
Toronto, ON
- Full-time
The Senior Quality Assurance Engineer is responsible for ensuring the quality, reliability, and performance of digital solutions through manual and automated testing. The role leads testing…
Added 23 days ago
DevOps Engineer
Hasbro
Montreal, QC
We’re building something new inside our AI Studio, and we’re looking for a DevOps Engineer to help shape it with us. This role sits at the center of a new and constantly evolving business…
Added 23 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 23 days ago
HO
Operations Business Intelligence Engineer
Hydro Ottawa
Ottawa, ON
- Full-time
We are seeking an Operations Business Intelligence Engineer, a strategic thinker who can take initiatives from concept to completion and engineer the way to a smart energy future.
Added 23 days ago
AM
Sr. Staff Physical Design Engineer
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
Proficiency with Python and TCL for design-flow development and automation.
Added 23 days ago
A
Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location
Added 23 days ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office/client location
Added 23 days ago
W
VMware Cloud Foundation (VCF) L3 Operations Engineer
W3Global
Canada
- Contract
Role Overview: The L3 VCF Operations Engineer is a subject matter expert responsible for the
Added 23 days ago
IC
Data Analytics Engineer
Infotek Consulting Inc.
Toronto, ON
- Contract
Work Arrangement: Hybrid – 1 day per week in office
Added 23 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Build and optimize scalable batch and near-real-time data pipelines using Python, SQL, SAS, AWS Glue, Athena, PySpark, APIs, databases, file-based integrations, and cloud object storage.
Added 23 days ago
B
Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Develop data solutions using Python, SQL, SAS, AWS Glue, Athena, PySpark/Spark, APIs, and cloud-based data services, applying established engineering patterns and standards.
Added 23 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Identify and engineer automation opportunities, applying conventional and AI-enabled approaches where appropriate while balancing business value, risk, controls, maintainability, and…
Added 23 days ago
C
Software Engineer
Correct-AI
AB · Greater Edmonton Metropolitan Area
- Full-time
Correct-AI is seeking a Software Engineer to join our core engineering team. Reporting to the Director of Technology, the successful candidate will be responsible for developing,…
Added 23 days ago
FT
Forward Deployed Engineer
FDE Times
NB · Chiasson Office, NB
- Full-time
We are looking for a Forward Deployed Engineer to work directly with enterprise customers to turn real-world financial workflows into production software.
Added 23 days ago
FT
Director, Forward Deployed Engineering
FDE Times
Chalk River, ON
- Full-time
Strong hands-on technical skills - proficient in Python and SQL, comfortable going deep on customer architectures and data infrastructure
Added 23 days ago
T
Integration and Test Engineering Specialist
Telesat
Gatineau, QC
- Full-time
The Integration and Test Engineer Specialist will be responsible for developing and maintaining system verification and validation plans of the Telesat LEO constellation communication…
Added 23 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 23 days ago
Senior DevOps Engineer
Scotiabank
Toronto, ON
As a Senior DevOps Engineer, Workforce Authentication Engineering, you will design, build and maintain the DevOps pipelines and automation supporting Microsoft Entra ID-based identity and…
Added 23 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 23 days ago
B
Intermediate Software Engineer
BluWave-ai
Ottawa, ON
- Full-time
2+ years of professional software development experience with strong foundations in Golang, Java, or Python.

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

Report this job

Work requirements

Jobs in Canada