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Added 1 month ago
B
Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Hands on experience with SQL, NoSQL, Python , Spark/PySpark, Scala
Added 1 month ago
MS
Data Scientist (NLP Specialist) – Legal and Compliance (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
Added 1 month ago
Senior Python Developer
Ampliwork
Montreal, QC
We are looking for a Senior Python Developer with strong core software engineering fundamentals and hands-on experience building production-grade, cloud-native systems.
Added 1 month ago
TR
Applied Research Intern (NLP/ML/GenAI)
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Proficiency in implementing solutions using Python, DL and agentic frameworks, and relevant tools,
Added 1 month ago
TA
Lead AI Engineer
Tiger Analytics
Canada
- Full-time
AI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.
Added 1 month ago
Software Development Engineer, Early Career - 2026
Amazon
Vancouver, BC
Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
Added 1 month ago
PC
Financial Instruments Valuation and Market Risk Manager
Pwc Canada
Toronto, ON
- Full-time
Assisting in the development of leading edge GenAI solutions that transform the delivery of these services, and provide GenAI advice to our clients
Added 1 month ago
PC
Credit Risk Modelling Senior Associate (Bilingual FR/EN)
Pwc Canada
Montreal, QC
- Full-time
…challenge and proposed business solution on the topics such as GenAI, cloud, climate risk modeling…
Added 1 month ago
AI Application Security Architect
ACV
Toronto, ON
…servers, and autonomous agents, with guardrails that preserve developer velocity across an API-first engineering…
Added 2 months ago
GD
Data Scientist I
Groupe Dynamite
Mont-Royal, QC
- Full-time
In this role you will be part of a self managed team responsible for building and driving forward our core demand forecasting, recommendation engines and GenAI solutions.
Added 2 months ago
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Manager, Data Science (Askuity division)
The Home Depot Canada
Toronto, ON
- Full-time
Lead and mentor a team of data scientists in developing AI-powered solutions, including Generative AI (GenAI), for Fusion.
Added 22 days ago
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Agentic AI Optimization Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
Advanced Debugging & Automation: Strong background in writing automated test scripts (Python-heavy) and using tracing/observability concepts to debug cascading errors in asynchronous,…
Added 22 days ago
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Agentic AI Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
…human intervention. We are seeking a highly skilled Agentic AI Developer to be the core engineer constructing our next-generation AI…
Added 24 days ago
GS
Senior Software Engineer
Guidewire Software
Mississauga, ON · Toronto, ON
- Full-time
Your work will directly support PDO’s mission to embed GenAI across our products and improve operational excellence, contributing to Guidewire’s broader goal of transforming how the world’s…
Added 1 month ago
TT
AI/ML Engineer
TC Transcontinental
Mississauga, ON
- Full-time
Added 2 months ago
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Senior Platform Engineer
AutoTrader.ca
Toronto, ON
- Full-time
…centralized Kubernetes, managed CI/CD, project templates, and the developer tooling that runs on top of AWS. Our customers are developers. We live "you build it, you run it" and we invest…
Added 2 months ago
GD
Data Scientist I
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
- Full-time
In this role you will be part of a self managed team responsible for building and driving forward our core demand forecasting, recommendation engines and GenAI solutions.
Added 1 month ago
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Senior Manager Data Engineering
BMO
Toronto, ON · SCC
- Full-time
Hands on experience in one or more of SQL, NoSQL, Python, Spark, Scala, code optimization, debugging
Added 1 month ago
DT
Senior Solutions Principal
Dell Technologies
Toronto, ON
- Full-time
…development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a…
Added 2 months ago
S
Sr. Regression Tester with AI Exp
Synechron
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
…functionality of our banking applications. Your expertise in AI, GenAI, Java, Playwright, Selenium, and Javascript will be essential in creating robust test frameworks and ensuring seamless…
Added 1 month ago
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Credit Risk Modelling Senior Associate (Bilingual FR/EN)
PwC
Montreal, QC
- Full-time
…challenge and proposed business solution on the topics such as GenAI, cloud, climate risk modeling…
Added 1 month ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
Develop GenAI and LLM models. Get direction from and technical guidance from more senior members of the team
Added 2 months ago
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Applied AI, Forward Deployed Machine Learning Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 2 months ago
M
Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 1 month ago
TA
Lead AI Engineer
Tiger Analytics Inc.
Remote, Canada
- Remote
AI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.

BMO

Data Engineer

Toronto, ON, Canada
SCC, Canada

$61,600.00 - $113,900.00 · Full-time

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Job details

Pay: $61,600.00 - $113,900.00
Job type: Full-time
Apply by: Oct 30, 2026
Experience: 2 - 5 years of relevant experience and IT education and/or certification(s)
Posting language: English
Posted: Aug 17, 2026

Original job description

Application Deadline:

10/29/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Technology

Work Model: Hybrid (minimum 2 days per week in office)

About the team 

Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights to drive desired business outcomes and value. DAT Engineering collaborates with multiple groups across the bank deliver hundreds of initiatives every year to help our partners solve problems and make smarter data-driven decisions.

We are a very diverse organization with plenty of exciting opportunities to apply your unique skills to solve complex business problems. If you love data, complex challenges, cutting-edge technologies, and opportunities to learn, then this is the team you want to be in.

What will you do 

Contribute to the planning, design, development, testing, implementation, documentation, and support of data and AI products.
Partner with business stakeholders in translating business requirements (functional and non-functional) into data and AI products
Contribute input on technical designs and ensure alignment with standards and roadmaps 
Accelerate development by building frameworks, automation scripts, and reusable code  
Identify, track, and perform regression testing on defects found
Support production issues, including completion of root-cause analysis
Participate in process improvement opportunities to improve delivery and deployment capabilities

What do you need to succeed

2 - 5 years of relevant experience and IT education and/or certification(s) 
Hands on experience with ETL/ELT development/testing and data warehousing concepts 
Hands on experience with SQL, NoSQL, Python , Spark/PySpark, Scala
Hands on experience with SSIS, Glue, Cloud storage and computing services (e.g. AWS, Azure), Hadoop, Netezza
Experience with structured, semi structured and unstructured datasets in batch and streaming
Experience with data analysis, data modeling, data mapping and data profiling

Nice to have 

Experience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC etc...
Knowledge of technical/business environment and processes
Experience with Agile delivery, including usage of JIRA

Salary:

$61,600.00 - $113,900.00

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 role involves planning, designing, developing, and supporting data and AI products while collaborating with business stakeholders to translate requirements into technical solutions. You will also build automation frameworks, perform testing, and support production environments to ensure high-quality data delivery.

Requirements

Candidates must have 2-5 years of relevant experience along with IT education or certifications. Proficiency in ETL/ELT, SQL, Python, Spark, and cloud platforms like AWS or Azure is required.

Skills

ETL/ELT development
Data warehousing
SQL
NoSQL
Python
Spark
PySpark
Scala
SSIS
AWS
Azure
Hadoop
Netezza
Data modeling
Data profiling
Agile delivery

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
ETL
ELT
SQL
NoSQL
Python
Spark
PySpark
Scala
SSIS
Glue
AWS
Azure
Hadoop
Netezza
Data Modeling
Data Profiling
GenAI
Prompt Engineering
RAG
Agile
JIRA
Data Engineering
AI
Cloud Computing
Streaming
Batch Processing
SDLC
Data Analysis
Data Mapping

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