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Added 8 days ago
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Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Strong proficiency in Python and SQL, with hands-on experience in data transformation, automation, validation, performance optimization, and troubleshooting.
Added 8 days ago
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Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Advanced proficiency in Python and SQL, with strong engineering practices across modular development, performance optimization, automated testing, troubleshooting, and maintainable code…
Added 8 days ago
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Software Engineer
Correct-AI
AB · Greater Edmonton Metropolitan Area
- Full-time
C++ & Python: Strong development skills with a track record of shipping production software.
Added 8 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 8 days ago
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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 8 days ago
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Intermediate Software Engineer
BluWave-ai
Ottawa, ON
- Full-time
2+ years of professional software development experience with strong foundations in Golang, Java, or Python.
Added 8 days ago
GD
Junior Systems Engineer - Networking
General Dynamics Mission Systems–Canada
Ottawa, ON
- Full-time
GDMS-C is seeking a Systems Engineer to join our Coalition and Joint Interoperability team working to support Land Command Support System (LCSS) in Ottawa, Canada. The Land Command Support…
Added 8 days ago
OR
Network Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
Practical experience with scripting (Python, Bash, PowerShell, Terraform and Ansible) for network automation and operational efficiency.
Added 8 days ago
Production Support Engineer
Capgemini
Toronto, ON
Scripting experience with Shell Scripting, Python, and PowerShell.
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Senior AI/ML Engineer
Limbic
Remote, Canada
- Full-time
- Remote
As a Senior AI/ML Engineer, you will take ownership of the AI in our clinical assessment product for US healthcare organizations. A patient describes what they are struggling with in a…
Added 8 days ago
Linux Systems Administrator / Engineer
Digital Extremes
London, ON
Tooling & Protocols: Familiarity with Perforce server administration on Linux, system monitoring platforms (PRTG, CheckMK), shell/Python scripting, and core networking protocols.
Added 8 days ago
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Software Engineer (Data)
Themis Intelligence
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Software Engineer (Data) Co-op at Themis Intelligence, you will help build the data infrastructure that powers our AI applications and platforms. You'll work on real engineering…
Added 8 days ago
TI
AI Engineer
Themis Intelligence
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Strong programming skills in Python and TypeScript, with an understanding of software development fundamentals.
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Cybersecurity Specialist- Research and Scientist
Galent
Toronto, ON
- Contract
Strong development skills in Python (most important), along with Java, Node.js, Go, and C/C++
Added 8 days ago
Simulation Specialist - Power Systems
Ametek, Inc.
Winnipeg, MB
The Simulation Specialist/Engineer at RTDS Technologies Inc. will join the Simulation & Model Development team and will be responsible for the development, validation, and support of…
Added 8 days ago
TT
Senior SRE / Observability Engineer – IA & AI Ops - Bilingual
Tech Talent International
Montreal, QC
- $120,000 to $130,000 CAD / year
- Full-time
We currently have a role as an Senior SRE / Observability Engineer – IA & AI Ops - Bilingual with our large consulting client, working for a public sector, crown corporation in the Montreal…
Added 8 days ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Strong hands-on software development skills, particularly Python, Java, Node, Go, C/C++ with experience in additional modern programming languages.
Added 8 days ago
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Data Engineer
CDAI
Toronto, ON
- Full-time
We are looking for a Data Engineer to join our Data Technology team and help build and maintain scalable data pipelines and APIs. You’ll work with a modern technology stack and collaborate…
Added 8 days ago
Security Software Engineer
Motive
Canada
Strong programming experience with Python, Go, JavaScript, or a similar language.
Added 8 days ago
TC
Quality Engineer / SDET – AI Chatbot Validation
Tata Consultancy Services
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
Experience with Python, Selenium, Playwright, PyTest, or similar tools.
Added 8 days ago
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Data Engineer - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
As a Data Engineer at Slalom, you will collaborate with clients, architects, and multidisciplinary delivery teams to design, build, and operationalize scalable data solutions. Your work may…
Added 8 days ago
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Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
As a Data Engineer at Slalom, you will collaborate with clients, architects, and multidisciplinary delivery teams to design, build, and operationalize scalable data solutions. Your work may…
Added 8 days ago
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Data Engineer - Canada Region
Slalom
Calgary, AB
- Full-time
As a Data Engineer at Slalom, you will collaborate with clients, architects, and multidisciplinary delivery teams to design, build, and operationalize scalable data solutions. Your work may…
Added 8 days ago
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Senior ML Engineer
Hays
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Senior Machine Learning Engineer – GenAI & Personalisation
Added 8 days ago
WD
Senior Site Reliability Engineer
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
The Senior Site Reliability Engineer will drive the design, implementation, and operation of reliable, scalable infrastructure across the studio. This role partners closely with team…

BMO

Data Engineer

Toronto, ON, Canada
FCP, Canada

$65,000.00 - $140,000.00 · Full-time

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Job details

Pay: $65,000.00 - $140,000.00
Job type: Full-time
Apply by: Nov 7, 2026
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.

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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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