Principal Data Engineer - Intelligent Data Platforms (AI)

BMO Financial Group; Toronto; Hybrid; CAD 130,000 - 243,000; Full time

Job summary

A leading financial services institution in Toronto seeks an experienced Data Engineer with 10-15 years in data platforms and engineering. The role involves building scalable solutions and requires strong skills in Python, Scala, and SQL/No-SQL. Candidates should be adept at developing data pipelines and implementing AI functionalities. This is a hybrid position requiring 2-3 days in the office weekly, offering a competitive salary range between $94,600 and $176,000.

Benefits

Performance-based incentives

Discretionary bonuses

Comprehensive benefits package

Qualifications

• 10-15 years of data engineering experience.
• Strong hands-on experience with Python, Scala, and Bash scripting.
• Solid experience writing SQL/No-SQL queries and data pipelines.

Responsibilities

• Build scalable technology-driven solutions.
• Develop pipelines for end-to-end systems.
• Implement process improvements using automation.
• Write complex transformations and document requirements.
• Support functional and non-functional requirements for pipelines.

Skills

Data engineering experience

Python

Scala

Bash scripting

SQL/No-SQL

Data pipelines

ETL

Artificial Intelligence

Job description

Application Deadline:

12/30/2025

Address:

100 King Street West

Job Family Group:

Technology

MUSH HAVE: Solid experience in Data 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 data platform & data 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. 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.