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Added 6 days ago
SI
Data Analyst
Spait Infotech
Canada
- Full-time
Write SQL queries to extract, manipulate, and analyze data from databases.
Added 6 days ago
AI
Senior Software Engineer – Core Java, Apache Spark, Python, SQL, Data Processing
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
We are seeking a highly motivated and experienced Software Engineer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux to design, develop, and support scalable…
Added 6 days ago
TS
Analyst, Client Solutions – Global Transaction Banking
TD Securities
Toronto, ON
- Full-time
Strong SQL skills with experience working with large datasets.
Added 6 days ago
R
Senior Manager, Forecast Delivery, Personal and Commercial Operations
RBC
Vancouver, BC · Toronto, ON · Montreal, QC
- Full-time
Proficiency in SQL and/or general-purpose programming languages (e.g., Python)
Added 6 days ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
This is an excellent opportunity for a junior-to-mid-level Data Analyst with strong Power BI, SQL and Microsoft data technologies experience who enjoys turning data into meaningful…
Added 6 days ago
PM
Intern, Data Engineer (8 Months)
Picton Mahoney Asset Management
Toronto, ON
- Internship
Technical Proficiency: Understanding of SQL and experience with data modeling. Familiarity with Python, R, or other scripting languages is a plus.
Added 6 days ago
OH
Senior Quality Assurance Engineer
Ontario Health
Toronto, ON
- Full-time
Comprehensive health coverage from day one, with fully paid medical, dental, and vision benefits to support you and your family’s health
Added 6 days ago
T
Analyst, Client Solutions – Global Transaction Banking
TD
Toronto, ON
- Full-time
Strong SQL skills with experience working with large datasets.
Added 6 days ago
VB
Specialist, Data Quality Developer
Vale Base Metals
Toronto, ON
- Full-time
…United Kingdom, and Japan. We invite you to use your skills with us and contribute to something meaningful and…
Added 6 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Strong SQL and database testing experience with Oracle, PostgreSQL, or similar relational databases.
Added 6 days ago
AI
Power Platform & GenAI Developer – Microsoft Power Apps, Power Automate, Copilot, AI/LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
We are seeking a highly skilled Power Platform & GenAI Developer with hands-on experience in Microsoft Power Apps, Power Automate, Copilot, Large Language Models (LLMs), and database…
Added 6 days ago
SA
Product Analyst
STAN AI
Toronto, ON · North York, ON
- $81,000 to $110,000 CAD / year
- Full-time
Strong SQL skills and hands-on experience with Python or R for analysis
Added 6 days ago
FT
Pricing and Performance Analyst
Firefly Transformation Solutions
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $95,000 CAD / year
- Full-time
Use SQL, Python, and Excel to analyze claims and exposure data and investigate the drivers of profitability changes.
Added 6 days ago
W
(CAN) Senior Manager, Data Analytics
Walmart
Mississauga, ON
- Full-time
Advanced experience with analytical and visualization tools such as SQL, Tableau, Power BI, BigQuery, Python, or similar platforms.
Added 6 days ago
HO
Operations Business Intelligence Engineer
Hydro Ottawa
Ottawa, ON
- Full-time
Familiarity with Matlab/C++/Python considered an asset
Added 6 days ago
C
FinOps Architect – Cloud, AI & On-Premises Infrastructure
CGI
Montreal, QC
- Full-time
Data and automation skills (SQL, Python, Power BI).
Added 6 days ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Design and implement ELT/ETL frameworks using Snowflake SQL, Snowpark Python, Dynamic Tables, Streams, Tasks, and Snowpipe for batch, streaming, CDC, and event-driven ingestion patterns
Added 6 days ago
AC
SAS/Python Developer
Adastra Corporation
Markham, ON
- Full-time
Join Adastra’s Data Engineering team as a SAS/Python Developer, where you will help build and modernize the data platforms that power customer analytics, personalization, marketing, risk,…
Added 6 days ago
N
Software Developer
Nasdaq
Toronto, ON
- Full-time
Practical experience with Perl, Shell scripting, or Python to automate tasks and support software development or production operations.
Added 6 days ago
IC
Data Analytics Engineer
Infotek Consulting Inc.
Toronto, ON
- Contract
Build SQL and Python/PySpark transformations to produce consistent, validated, business-ready datasets.
Added 6 days ago
B
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 6 days ago
B
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 6 days ago
B
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 6 days ago
RC
Guidewire Test Lead – P&C Insurance Domain
Realtek Consulting LLC
Markham, ON
- Contract
Experience with Postman, Swagger, SoapUI, REST/SOAP APIs, JSON, XML, and SQL.
Added 6 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

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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