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Bank of Montreal

Data Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
Toronto, ON, CAN
Mid level
In-Office
Toronto, ON, CAN
Mid level
The Data Engineer will design, develop, and support data and AI products, ensuring alignment with standards and business requirements while optimizing deployment capabilities and handling production issues.
The summary above was generated by AI

Application Deadline:

05/30/2026

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 

  • 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.

Top Skills

AWS
Azure
Glue
Hadoop
Netezza
NoSQL
Pyspark
Python
Scala
Spark
SQL
Ssis
HQ

Bank of Montreal Toronto, Ontario, CAN Office

First Canadian Place, 100 King Street, Toronto, Ontario, Canada, M5X 1A1

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