At a Glance
- Tasks: Develop and support data and AI products that drive business insights.
- Company: Join BMO, a diverse and innovative financial institution.
- Benefits: Competitive salary, health insurance, tuition reimbursement, and retirement plans.
- Other info: Dynamic team environment with opportunities for growth and learning.
- Why this job: Work with cutting-edge tech and make a real impact in the financial sector.
- Qualifications: 2-5 years of experience in data engineering and strong coding skills.
The predicted salary is between 50000 - 120000 $ per year.
Application Deadline: 10/30/2026
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 to 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.
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.
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.
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.
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.
Developer in Toronto employer: BMO
BMO Financial Group is an exceptional employer, offering a dynamic work environment in the heart of Toronto where legal professionals can thrive. With a strong commitment to employee growth, BMO provides extensive training, mentorship, and opportunities for career advancement, all while fostering a culture of diversity and inclusion. Employees enjoy a comprehensive benefits package, including health insurance, tuition reimbursement, and retirement savings plans, making it a rewarding place to build a meaningful career.
