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Principal Engineer, Data Warehouse Engineering & Artificial Intelligence

Bank of Montreal

Sainte-Catherine

Hybrid

CAD 94,000 - 176,000

Full time

Yesterday
Be an early applicant

Job summary

A leading financial institution is seeking a Principal Engineer specializing in Data Warehouse Engineering and Artificial Intelligence. The role involves designing scalable solutions, developing data pipelines, and optimizing existing systems with strong expertise in AI. Candidates should have over 10 years of experience and proficiency in Python, Scala, and SQL. The position offers a hybrid work model based in Canada, with a competitive salary ranging from $94,600 to $176,000.

Benefits

Health insurance
Tuition reimbursement
Retirement savings plans

Qualifications

  • 10-15 years of data engineering experience with multiple data warehouses.
  • Strong experience with Artificial Intelligence.
  • Solid hands-on experience with programming languages.

Responsibilities

  • Prepare design and solutions for scalable technology solutions.
  • Develop code and pipelines for end-to-end systems.
  • Support functional and non-functional requirements.

Skills

Data warehouse engineering
Artificial Intelligence
Python
Scala
Bash scripting

Tools

ETL tools
SQL
No-SQL

Job description

Principal Engineer, Data Warehouse Engineering & Artificial Intelligence page is loaded

Principal Engineer, Data Warehouse Engineering & Artificial Intelligence
Apply locations Toronto, ON, CAN time type Full time posted on Posted Yesterday job requisition id R250012059

Application Deadline:

08/30/2025

Address:

100 King Street West

Job Family Group:

Technology

MUSH HAVE: Solid experience in Engineering for Platforms (Data warehouse, ETL, Coding, Artificial Intelligence solutions for Data Platforms). This is an individual contributor role and also HYBRID (2-3 days in office).

We are looking for a candidate who brings 10-15 years of platform engineering experience having worked with multiple data warehouses, databases, interconnected and interdependent systems, including the added A.I. functionality for Platforms.

Responsibilities:

  • Understands the business requirement, prepare design & solution to build scalable yet practical and cutting edge technology driven solutions
  • Gathers, documents and explains requirements to team, translates them to code and develops pipelines for running end to end systems
  • Has experience in handling process improvements using automation, re-modelling, modernization, re-design or update design, solution for optimal and cost efficient needs
  • Works with extract, transform, load (ETL) for various sources and downstream consumption, has ability to write code and guide other team members in writing complex transformations.
  • Experienced in data modelling, designing complex systems to support large scale transformations, hands with data mining & analysis for existing and new data warehouses within the industry
  • Supports functional and non-functional requirements for building data pipelines, CI/CD pipelines, automated systems, and AI Solutions.
  • Has an innovative & creative mindset and can work in a dynamic environment with existing systems & help build new systems to run faster yet in lean manner.
  • Has analytical ability to think beyond boundaries yet help build solutions that are usable, pragmatic and value driven on ground to other teams within the organization.
  • Hands on experience in writing SQL/No-SQL queries, data pipelines, transformation, well versed with developing code using python, scala and bash scripting.
  • Experience with spearheading discussions with counterparts, stakeholders, business, architecture teams, operations and other engineering teams.
  • Experienced in guiding the team to code, develop, unit testing and QA new/existing pipelines, automated solutions and ability to structure new solutions with minimal requirements provided yet seek for clarifications as needed.

Qualifications:

  • Typically 10-15 years of data engineering experience having worked with multiple types of data warehouses, databases, interconnected and interdependent systems on prem and on cloud
  • Recent Artificial Intelligence experience, as platform embedded capability
  • Strong hands-on experience with Python, Scala, Bash
  • Solid experience writing SQL/No-SQL queries, data pipelines and ETL

Salary :

$94,600.00 - $176,000.00

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. 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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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.

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