Developer - Data, AI, Platform & Support

BMO

Toronto

On-site

CAD 56,000 - 120,000

Full time

8 days ago
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Benefits offered by this job

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans

Job summary

Data and AI engineers at BMO Financial Group in Toronto are tasked with building data and AI products that deliver timely insights to drive business value. You will partner with stakeholders to translate requirements into robust data solutions, contribute to technical designs, and accelerate delivery with reusable code and automation.

The role emphasizes ETL/ELT, data warehousing, and AI concepts, while supporting production issues and ongoing process improvements in a collaborative, agile

Qualifications

  • 2–5 years of relevant IT experience and/or IT education/certifications.
  • 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.
  • Experience with batch and streaming data, data modeling and profiling.
  • Knowledge of AI concepts, GenAI, prompt engineering, RAG and SDLC tools.
  • Strong communication, collaboration and analytical skills.

Responsibilities

  • Contribute to planning, design, development, testing, and support of data and AI products.
  • Collaborate with stakeholders to translate requirements into data products.
  • Contribute input on technical designs and ensure alignment with standards.
  • Accelerate development by building frameworks, automation scripts, and reusable code.
  • Identify, track, and perform regression testing on defects.
  • Support production issues and root-cause analysis.
  • Engage in process improvements to enhance delivery and deployment.

Skills

Analytical thinking
Verbal written communication
Collaboration team skills
Problem solving
Critical thinking

Education

IT education/certifications

Tools

SQL
NoSQL
Python
Spark/PySpark
Scala
SSIS
Glue
Cloud storage (AWS/Azure)
Data warehousing concepts

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.

  • performance-based incentives, discretionary bonuses, as well as other perks and rewards
  • health insurance
  • tuition reimbursement
  • accident and life insurance
  • 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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