Developer - Data, AI, Platform & Support

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 (BMO) Technology Data and AI Engineering is seeking a data-focused engineer to contribute to planning, design, development, testing, and deployment of data and AI products. You will collaborate with cross-functional partners to translate requirements into scalable analytics solutions while ensuring alignment with security and regulatory standards.

The role emphasizes building automation, data modeling, and AI-driven tooling, with a focus on reliable deployment and continuous

Qualifications

• 2 - 5 years of relevant experience and IT education and/or certification(s).
• Experience with ETL/ELT development/testing and data warehousing concepts.
• Experience with SQL, NoSQL, Python, Spark/PySpark, 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 modeling, data mapping and data profiling.
• 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.
• Critical thinking.
• Verbal & written communication skills.
• Collaboration & team skills.
• Analytical and problem solving skills.

Responsibilities

• 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.

Skills

ETL/ELT development

SQL

NoSQL

Python

Spark/PySpark

Scala

SSIS

Glue

Cloud services

Hadoop

Netezza

Data analysis

Data modeling

Data mapping

Data profiling

GenAI

Prompt engineering

RAG

SDLC AI tools

Agile (JIRA)

Communication

Collaboration

Analytical thinking

Job description

Application Deadline: 09/13/2026 Address: 100 King Street West Job Family Group: Technology 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.

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.

Qualifications

• 2 - 5 years of relevant experience and IT education and/or certification(s).
• Experience with ETL/ELT development/testing and data warehousing concepts.
• Experience with SQL, NoSQL, Python, Spark/PySpark, 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 modeling, data mapping and data profiling.
• 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.
• Critical thinking.
• Verbal & written communication skills.
• Collaboration & team skills.
• Analytical and problem solving skills.

Salary & Pay

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 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.

We’re proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services. As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management and investment services to more than 12 million customers. In Canada, the United States and across the globe, we’ll continue to build, invest and transform to drive performance that serves the good that grows.