Data Engineer

Bank of Montreal; Toronto; On-site; CAD 56,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

Bank of Montreal is seeking a data engineering professional to design, build, test, and support data and AI products within the Data and AI Technology Engineering team in Canada. You will translate business requirements into scalable data platforms and implement robust data pipelines using modern tools and frameworks.

The role emphasizes collaboration with business stakeholders, adherence to standards, and opportunities to mentor others while enhancing delivery capabilities across projects.

Qualifications

• 2 years of relevant experience and IT education and/or certification(s).
• Hands on 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.

Responsibilities

• 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

Skills

ETL/ELT

Data warehousing

SQL

NoSQL

Python

Spark

Scala

SSIS

AWS

Azure

Hadoop

Netezza

Data analysis

Data mapping

Data profiling

GenAI

Prompt engineering

RAG

AI in SDLC

Agile (JIRA)

Education

IT education/certifications

Tools

JIRA

SSIS

Glue

Hadoop

Netezza

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.