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Added 8 days ago
R
Senior Manager, Forecast Delivery, Personal and Commercial Operations
RBC
Vancouver, BC · Toronto, ON · Montreal, QC
- Full-time
The Senior Manager, Forecast Delivery leads the strategic development and delivery of forecasting capabilities within Workforce Management Optimization (WMO). You will be a key…
Added 8 days ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Reporting to a senior technology leader and working closely with a Data Architect, you will design and maintain dashboards, reports, data models and analytical solutions using Microsoft…
Added 8 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 8 days ago
DevOps Engineer
Hasbro
Montreal, QC
This role keeps the platform running and makes shipping it safe. Working alongside senior engineers on the platform team, this DevOps Engineer will help build and maintain the pipelines,…
Added 8 days ago
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Analyst, Client Solutions – Global Transaction Banking
TD
Toronto, ON
- Full-time
Experience with Python or other scripting languages is an asset.
Added 8 days ago
VB
Specialist, Data Quality Developer
Vale Base Metals
Toronto, ON
- Full-time
The Specialist, Data Quality Developer is responsible for designing, building, and maintaining enterprise data quality, data catalog, data stewardship, and master data management (MDM)…
Added 8 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 8 days ago
R
Senior AI Analyst (T & I) (Telework/Hybrid)
Radio-Canada
Montreal, QC
- Full-time
…and ready to kick-start their career in applied AI. Backed by senior experts, you will work in a highly experimental environment where your initiatives will have real, immediate…
Added 8 days ago
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(CAN) Senior Manager, Data Analytics
Walmart
Mississauga, ON
- Full-time
The Senior Manager, Data Analytics will lead a high-performing team that turns data into clear business decisions and measurable action. This role blends strong analytical and technical…
Added 8 days ago
HO
Operations Business Intelligence Engineer
Hydro Ottawa
Ottawa, ON
- Full-time
…framework offers a clear, transparent pathways to intermediate and senior levels. Wherever you are in your career, there’s a path for growth ahead of you…
Added 8 days ago
C
FinOps Architect – Cloud, AI & On-Premises Infrastructure
CGI
Montreal, QC
- Full-time
Ability to present and defend recommendations to technical stakeholders and senior executives.
Added 8 days ago
R
IT - Application Support Analyst - Senior
Raise
Toronto, ON
- Full-time
We at Raise are hiring an IT - Application Support Analyst - Senior for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet…
Added 8 days ago
IC
Data Analytics Engineer
Infotek Consulting Inc.
Toronto, ON
- Contract
Senior Analytics Engineer – Capital Markets Data Modelling
Added 8 days ago
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Sr Consultant - Business System Analyst
CIBC
Toronto, ON
- Full-time
As a member of CIBC’s team, the Senior Consultant, Business Systems Analysis will be responsible for providing advice and consultation for business application developments to ensure…
Added 8 days ago
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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 8 days ago
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Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Build and modernize data-driven workflows using Python, SQL, SAS, AWS Glue, Athena, PySpark/Spark, APIs, and approved automation technologies.
Added 8 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 8 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 8 days ago
Senior Investment Analyst, Global Private Debt | Great West
The Canada Life Assurance Company
Winnipeg, MB · Toronto, ON
Experience using AI-enabled tools (e.g., Microsoft Copilot, ChatGPT, Claude, Gemini, Power BI, Python-based analytical tools, or similar technologies) to enhance productivity, research,…
Added 8 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 8 days ago
E
Embedded Software Engineer
EPITEC
Ottawa, ON · Kanata, ON
- Full-time
Senior Software Engineer – Embedded Software Test & Automation
Added 8 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 8 days ago
MF
Senior Manager Client Reporting
Mackenzie Financial Corporation
Toronto, ON
- Other
…large-scale tax and reporting initiatives, and partners with senior leaders to continuously improve the client experience and operational…
Added 8 days ago
OR
Network Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
Incident Response & Tier-3 Escalation: Serve as the senior escalation point for complex network routing, switching, VPN, and security incident investigations.
Added 8 days ago
L
Senior AI/ML Engineer
Limbic
Remote, Canada
- Full-time
- Remote
Senior AI/ML Engineer, remote in Canada: own the AI that assesses patients for US healthcare providers and gets them to the right mental health care faster.

BMO

Senior Data Engineer

Toronto, ON, Canada
FCP, Canada

$80,000.00 - $175,000.00 · Full-time

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Job details

Pay: $80,000.00 - $175,000.00
Job type: Full-time
Apply by: Nov 7, 2026
Experience: 7+ years of progressive data or software engineering experience, designing and delivering production-grade data pipelines, platforms, and analytical 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

Own the design, development, modernization, and operation of scalable data platforms, pipelines, and data products supporting digital experiences, investment analytics, management reporting, and enterprise decision-making. This role combines hands-on engineering with architectural judgment, technical leadership, and the development of reusable engineering patterns across cloud and hybrid environments.

Key Engineering Responsibilities

Own end-to-end delivery of enterprise data products, spanning architecture, design, development, testing, implementation, documentation, and production support.
Define technical architecture and design across ingestion, transformation, orchestration, storage, data modelling, serving, and observability layers.
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.
Drive modernization of legacy data ecosystems, evolving on-premises workloads toward secure, scalable cloud and lakehouse architectures while supporting hybrid integration with platforms that remain on-premises.
Establish scalable engineering practices through reusable frameworks, development standards, automated testing, CI/CD, observability, runbooks, and operational controls.
Make pragmatic architecture decisions that balance scalability, security, reliability, performance, cost, maintainability, and speed to market.
Provide technical leadership across the engineering lifecycle, leading design and code reviews, resolving complex production issues, mentoring engineers, and shaping technical direction.
Partner with business and technology stakeholders to turn complex or ambiguous requirements into scalable, production-ready data solutions.

Asset Management Data & Analytics

Build data products that power decision-making across AUM, flows, revenue, performance, attribution, holdings, transactions, products, clients, and distribution analytics.
Design connected data models spanning portfolios, mandates, funds, share classes, securities, issuers, benchmarks, accounts, brokers, and legal entities.
Engineer trusted and audit-ready data through reconciliation, effective-dating, lineage, entitlements, data-quality controls, and traceability across the data lifecycle.
Partner with investment and business SMEs to preserve critical business logic and data meaning while modernizing legacy calculations, workflows, and reporting processes.

Required qualifications

Bachelor’s degree in computer science, engineering, data, or a related discipline, or equivalent practical experience.
7+ years of progressive data or software engineering experience, designing and delivering production-grade data pipelines, platforms, and analytical solutions.
Advanced proficiency in Python and SQL, with strong engineering practices across modular development, performance optimization, automated testing, troubleshooting, and maintainable code design.
Deep experience with modern data engineering patterns, including ETL/ELT, APIs and data integration, orchestration, relational and dimensional modelling, data warehousing, lakehouse architectures, and distributed data processing.
Hands-on experience designing and delivering solutions on cloud-based data platforms, preferably AWS, spanning storage, compute, integration, security, monitoring, and deployment.
Experience with distributed data processing frameworks such as PySpark/Spark, working across structured and semi-structured data, with a strong understanding of batch and near-real-time processing patterns.
Strong understanding of modern engineering practices, including Git, CI/CD, automated testing, observability, monitoring, alerting, incident management, and production support.
Proven ability to own technical design and influence engineering direction, including architecture decisions, design and code reviews, engineering standards, and technical mentorship.
Strong communication, judgment, and prioritization skills, with the ability to navigate ambiguity, articulate technical trade-offs, and collaborate effectively across engineering, technology, and business teams.

Preferred qualifications

Experience working with asset management, wealth management, capital markets, securities, or investment-data platforms, with an understanding of how investment data supports analytics and decision-making.
Experience with modern data technologies such as AWS data services, Databricks, Snowflake, Redshift, SageMaker, Airflow, and dbt or comparable technologies.
Experience modernizing legacy data and reporting ecosystems, including SAS, TIBCO IBI WebFOCUS, spreadsheet-driven processes, and other on-premises or legacy platforms.
Familiarity with enterprise data governance and management practices, including data cataloguing, lineage, data quality, master/reference data, metadata management, and access controls.
Exposure to AI/ML and advanced analytics data patterns, including the data pipelines and platform capabilities required to support machine learning and AI-driven use cases.

What Success Looks Like

Highly reliable and trusted data products, with clear ownership, observability, automated quality controls, and operational support embedded throughout the engineering lifecycle.
Reusable engineering frameworks and patterns that improve consistency, reduce duplicated effort, and accelerate delivery.
A simpler, more modern data ecosystem, reducing manual processes, operational risk, technical debt, and dependency on legacy platforms.
Scalable, well-governed data foundations that strengthen confidence in investment, client, distribution, management, finance, and regulatory reporting.
Stronger engineering practices across the team, through technical leadership, thoughtful architecture, effective design reviews, documentation, and mentorship.
Faster delivery of business value by translating complex investment-data requirements into resilient, maintainable, and production-ready solutions.

Salary:

$80,000.00 - $175,000.00

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 Senior Data Engineer will design, develop, and modernize scalable data platforms and pipelines to support enterprise decision-making and digital experiences. This role involves providing technical leadership, establishing engineering standards, and collaborating with stakeholders to deliver audit-ready data products.

Requirements

Candidates must have a bachelor's degree in a relevant field and at least 7 years of progressive experience in data or software engineering. Proficiency in Python, SQL, and cloud-based data platforms like AWS is required, along with strong skills in data modeling and distributed processing frameworks.

Skills

Python
SQL
AWS
PySpark
Data engineering
Cloud architecture
ETL/ELT
Data modeling
CI/CD
Data warehousing
Distributed data processing
Technical leadership
Observability
Data governance
API development
Performance optimization

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
AWS
PySpark
ETL
ELT
Cloud Computing
Data Modeling
CI/CD
Data Warehousing
Lakehouse Architecture
Distributed Systems
API
Data Governance
Observability
Asset Management
Investment Data
Modernization
Technical Leadership
Databricks
Snowflake
Redshift
SageMaker
Airflow
dbt
SAS
Metadata Management
Data Quality
Automation

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