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BMO

Data Engineer

Toronto, ON, Canada
SCC, Canada

Pay: $55,500.00 - $120,000.00
Job type: Full-time
Apply by: Dec 1, 2026
Experience: 2 years of relevant experience and IT education and/or certification(s)
Posting language: English
Posted: Sep 29, 2026

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Original job description

Application Deadline:

11/30/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Technology

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

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
Technical designs and ensure alignment with standards and roadmaps
Identify, track, and perform regression testing on defects found
Process improvement opportunities, to improve our delivery and deployment capabilities
Accelerate development by building frameworks, automation scripts, and reusable code
Strengthen development capability via mentoring, knowledge sharing, and building communities of practice

What do you need to succeed

Must have

2 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, Scala

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 mapping and data profiling
Experience with AI concepts, GenAI, prompt engineering, retrieval-augmented generation (RAG), AI-powered tools in SDLC etc...
Experience in Agile delivery, including usage of JIRA

Nice to have

Experience in large enterprise setting
Experience interacting with senior leaders
Experience working in highly regulated industries

Salary:

$55,500.00 - $120,000.00

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

You will plan, design, develop, and support data and AI products while partnering with business stakeholders to translate requirements into technical solutions. Additionally, you will build automation frameworks and mentor team members to improve delivery capabilities.

Requirements

Candidates must have at least 2 years of relevant experience along with IT education or certifications. Proficiency in ETL/ELT, SQL, Python, Spark, and cloud computing services is required.

Skills

Etl/elt development
Data warehousing
Sql
Nosql
Python
Spark
Scala
Ssis
Glue
Aws
Azure
Hadoop
Netezza
Genai
Prompt engineering
Agile

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
Data Warehousing
SQL
NoSQL
Python
Spark
Scala
SSIS
Glue
AWS
Azure
Hadoop
Netezza
GenAI
Prompt Engineering
RAG
SDLC
Agile
JIRA
Data Analysis
Data Mapping
Data Profiling
Streaming
Batch Processing
Automation
Cloud Computing

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