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Added 10 days ago
H
AI Intern, Supply Chain (Winter 2027, 12months)
Hitachi
Toronto, ON · (RSBU) Toronto
- $23 to $30 CAD / hour
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 10 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 10 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 10 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 10 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 10 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 10 days ago
FT
Forward Deployed Engineering Intern (AI Agent)
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- $30 to $50 CAD / hour
- Internship
Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.
Added 10 days ago
FT
Forward Deployed Strategist
FDE Times
Chalk River, ON
- Full-time
…capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit…
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
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Senior AI/ML Engineer
Limbic
Remote, Canada
- Full-time
- Remote
Safety and science come first. We are the only AI mental health chatbot with UKCA Class IIa medical device certification, and the first AI-led mental healthcare company selected for the…
Added 10 days ago
QW
AI Developer with Python
Quantum World Technologies Inc.
Toronto, ON
- Contract
8+ years of experience in software engineering, including strong proficiency in Python and exposure to AI/ML or Generative AI solutions.
Added 10 days ago
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Data Engineer - Canada Region
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 10 days ago
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Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 10 days ago
S
Data Engineer - Canada Region
Slalom
Calgary, AB
- Full-time
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams…
Added 10 days ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 10 days ago
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Senior ML Engineer
Hays
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Contract: 6 months, with a chance of extension
Added 10 days ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a…
Added 10 days ago
AI Solutions Developer
Geotab
Oakville, ON
As an AI Solutions Developer your key area of responsibility will be designing, developing, deploying, and maintaining AI-powered applications that strengthen sales enablement, learning…
Added 10 days ago
ZC
Data Engineer
Zurich Canada
Toronto, ON
- Full-time
Hands-on experience with Python for data processing and automation
Added 10 days ago
IS
MLOps / AI Lead
Iris Software Inc.
Toronto, ON
- Full-time
…provides consumers, corporations, governments, and institutions with a broad range of financial services and…
Added 10 days ago
RB
Product Manager, Advanced Analytics, Tim Hortons, Canada
Restaurant Brands International
Toronto, ON · Corp - Toronto Corporate Office
- Full-time
Familiarity with data analysis languages (e.g. SQL & Python) and modern data tools (e.g., Databricks, Snowflake, AWS, Datadog, Adobe) and analytics visualization tools.
Added 10 days ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.
Added 10 days ago
A
Prompt Engineer
Apptad
Montreal, QC
- Contract
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be…
Added 10 days ago
T
IT Manager Development (Python)
TD
Toronto, ON
- Full-time
…design and delivery of an AI-enabled capability that integrates with existing models and creates a scalable, business-facing layer for scenario forecasting, A/B testing, model output…
Added 11 days ago
L
MLOps Developer
L'Oréal
Toronto, ON
- Full-time
The Role In this critical role, you will work with bright and insightful minds, passionate professionals, and a welcoming community where your creative ideas are exceedingly valued. We are…

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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