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Data Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: Bank of Montreal
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 61600 CAD Yearly CAD 61600.00 YEAR
Job Description & How to Apply Below

Final date to receive applications

08/30/2026

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.

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, No

    SQL, 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 – $ (Salaried)

Benefits
  • Health insurance.
  • Tuition reimbursement.
  • Accident and life insurance.
  • Retirement savings plans.
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