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) is seeking a data and AI-focused professional to contribute to planning, design, development, testing, and support of data products. You will work with stakeholders to translate requirements into data and AI solutions, influence technical designs, and accelerate delivery through reusable code and automation.

Collaboration and problem-solving are essential as you support production issues and drive process improvements.

Qualifications

• 2–5 years of relevant IT experience or education/certs.
• Experience with ETL/ELT development and data warehousing concepts.
• Experience with SQL, NoSQL, Python, Spark/PySpark, Scala.
• Experience with SSIS, Glue, cloud storage and computing services (AWS, Azure).
• Experience with structured, semi-structured and unstructured datasets (batch and streaming).
• Experience with data analysis, data modeling, data mapping, and data profiling.
• Knowledge of AI concepts, GenAI, prompt engineering, RAG and SDLC tools.

Responsibilities

• Contribute to planning, design, development, testing, implementation, documentation, and support of data and AI products.
• Partner with business stakeholders to translate requirements into data and AI solutions.
• 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; support production issues including root-cause analysis.
• Participate in process improvement opportunities to enhance delivery and deployment capabilities.

Skills

SQL

NoSQL

Python

Spark/PySpark

Scala

ETL/ELT

Agile delivery

JIRA

Data analysis

Critical thinking

Education

IT education or certs

Tools

SSIS

Glue

Cloud storage (AWS/Azure)

Hadoop

Netezza

SQL/NoSQL tooling

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: $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.

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.

BMO is a leading bank driven by a single purpose: to Boldly Grow the Good in business and life. Everywhere we do business, we’re focused on building, investing and transforming how we work to drive performance and continue growing the good. Who we are 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.