Description

Application Deadline: 09/29/2025

Address: 4100 Gordon Baker Road

Job Family Group: Technology

This role is Hybrid, requires 2-3 days/week in the office in Toronto; Out-of-province candidates must relocate for this role.

The Data Engineer contributes to the development of methods, practices, policies, tools and processes to collect, store, access and use data securely, efficiently, and cost-effectively. Supports the full lifecycle of data assets. Assures the quality of data collection, including the adequacy, accuracy and legitimacy of the data. Identifies ways to manage data across a diverse but unified data tier. Plans and supports the implementation of cloud data management platforms and tools, policies and procedures giving the organization control of business data, both in cloud applications and hybrid cloud/ on-premise set-ups. Manages data integration applying relevant data governance and management practices.

Responsibilities:

• Creates and maintains an optimal data pipeline architecture.
• Assembles large, complex data sets that meet functional / non-functional business requirements.
• Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
• Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Builds analytics tools that utilize the data pipeline to provide actionable insights into customer, operational efficiency and other key business performance metrics.
• Works with different stakeholders and teams to assist with data-related technical issues and support their data infrastructure needs.
• Works with experts in data strategy and data governance to suggest quality enhancements.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently on a range of complex tasks, which may include unique situations.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

Must have:

• 3 - 5 years of relevant data engineering experience
• Education and/or certification(s) in Data domain (with strong focus on data engineering/data warehousing)
• Hands on experience with ETL/ELT development/testing and data warehousing concepts
• Hands on experience with SQL, NoSQL, 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
• Experience with Agile delivery, including usage of JIRA

Salary :

$61,600.00 - $113,900.00

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