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Added 9 days ago
H
AI Intern, Supply Chain (Winter 2027, 12months)
Hitachi
Toronto, ON · (RSBU) Toronto
- $23 to $30 CAD / hour
- Full-time
…Chain team for a 1-year term. This role is ideal for a student with a passion for automation, data, and artificial intelligence who wants to make a tangible impact on how supply chain…
Added 9 days ago
Actuarial Intern P&C (6 months)
Swiss Re
Toronto, ON
Experience with R, Python, Power BI, or other database management tools
Added 9 days ago
C
FinOps Architect – Cloud, AI & On-Premises Infrastructure
CGI
Montreal, QC
- Full-time
Data and automation skills (SQL, Python, Power BI).
Added 9 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 9 days ago
A
Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks.
Added 9 days ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
3+ years experience in Python (data pipelining and ML workloads) and advanced SQL.Experience with data modelling methodologies and dbt for transformation layer management.
Added 9 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 9 days ago
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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 9 days ago
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IT - Application Support Analyst - Senior
Raise
Toronto, ON
- Full-time
Experience with monitoring, observability, and automation tools.
Added 9 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 9 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 9 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 9 days ago
RC
Guidewire Test Lead – P&C Insurance Domain
Realtek Consulting LLC
Markham, ON
- Contract
Automation experience with Selenium, REST Assured, Java, Python, Jenkins, and Git.
Added 9 days ago
FT
Forward Deployed Strategist
FDE Times
Chalk River, ON
- Full-time
You’ll work closely with FDEs, who build directly with customer engineering teams. Some of that work is model-driven: fraud, payments, underwriting, recommendations, pricing. Increasingly…
Added 10 days ago
T
Integration and Test Engineering Specialist
Telesat
Gatineau, QC
- Full-time
Automation experience with programming languages like Python.
Added 10 days ago
Senior DevOps Engineer
Scotiabank
Toronto, ON
Strong scripting and automation skills using PowerShell, Python, Azure CLI or equivalent technologies.
Added 10 days ago
Senior Investment Analyst, Global Private Debt | Great West
The Canada Life Assurance Company
Winnipeg, MB · Toronto, ON
…early-career professional who combines strong analytical skills with a demonstrated interest in leveraging data, automation, and AI tools to improve decision-making, enhance efficiency, and…
Added 10 days ago
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Embedded Software Engineer
EPITEC
Ottawa, ON · Kanata, ON
- Full-time
Develop automation scripts and test applications using Python and C/C++
Added 10 days ago
GD
Junior Systems Engineer - Networking
General Dynamics Mission Systems–Canada
Ottawa, ON
- Full-time
Experience with automation tools such as Ansible, Squish and Python
Added 10 days ago
M
Agentic AI and Automation
Mantu
Montreal, QC
- Full-time
Amaris Consulting is looking for a hands-on Developer, Agentic AI and Automation to support the integration of Large Language Models into a large enterprise environment.
Added 10 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 10 days ago
Production Support Engineer
Capgemini
Toronto, ON
Scripting experience with Shell Scripting, Python, and PowerShell.
Added 10 days ago
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Information Security Specialist (Vulnerability Management Data Insights & Reporting )
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 10 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 10 days ago
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Technical Project Management Student
BlackBerry
Ottawa, ON
- Full-time
Experience with Python and scripting for automation and data analysis.

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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