BMO Logo

BMO

Data Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
Toronto, ON, CAN
Mid level
In-Office
Toronto, ON, CAN
Mid level
Design, develop, test, and support data and AI products. Partner with stakeholders to translate requirements, build ETL/ELT pipelines, perform data modeling/profiling, automate frameworks, troubleshoot production issues, and participate in process improvements.
The summary above was generated by AI

Application Deadline:

08/30/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Technology

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. 

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.

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, 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 etc...

  • Knowledge of technical/business environment and processes

  • 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

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.

HQ

BMO Toronto, Ontario, CAN Office

First Canadian Place, 100 King Street, Toronto, Ontario, Canada, M5X 1A1

BMO Ontario, CAN Office

Canada

BMO Ontario, CAN Office

Canada

BMO Ajax, Ontario, CAN Office

Ajax, Canada

BMO Brampton, Ontario, CAN Office

Brampton, Canada

BMO Burlington, Ontario, CAN Office

Burlington, Canada

BMO Etobicoke, Ontario, CAN Office

Etobicoke, Canada

BMO Hamilton, Ontario, CAN Office

Hamilton, Canada

BMO Markham, Ontario, CAN Office

Markham, Canada

BMO Milton, Ontario, CAN Office

Milton, Canada

BMO Mississauga, Ontario, CAN Office

Mississauga, Canada

BMO North York, Ontario, CAN Office

North York, Canada

BMO Oakville, Ontario, CAN Office

Oakville, Canada

BMO Pickering, Ontario, CAN Office

Pickering, Canada

BMO Richmond Hill, Ontario, CAN Office

Richmond Hill, Canada

BMO Scarborough, Ontario, CAN Office

Scarborough, Canada

BMO Toronto, Ontario, CAN Office

Toronto, Canada

BMO Vaughan, Ontario, CAN Office

Vaughan, Canada

Similar Jobs

3 Days Ago
Hybrid
Toronto, ON, CAN
Senior level
Senior level
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Design and maintain Azure DevOps CI/CD pipelines and automate deployment of Microsoft Fabric, Azure Data Factory, Synapse, Databricks, and Power BI. Implement IaC (Bicep/ARM), manage Azure environments, security, secrets, monitoring and logging, and collaborate with cross-functional teams to improve automation and platform delivery.
Top Skills: Application InsightsArm TemplatesAzureAzure Data FactoryAzure DatabricksAzure DevopsAzure Key VaultAzure MonitorAzure Synapse AnalyticsBicepGitLog AnalyticsMicrosoft Entra IdMicrosoft FabricPower BIPower Bi Deployment PipelinesPowershellPython
Yesterday
Hybrid
Toronto, ON, CAN
Senior level
Senior level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Lead design and build scalable data architectures, ETL pipelines, ingestion and data quality frameworks. Collaborate with cross-functional teams, enforce data governance, analyze data for insights, mentor junior engineers, and serve as the technical authority on data engineering best practices.
Top Skills: AWSAzureData Integration ToolsData LakeData ModelingData WarehouseETLGCPHadoopKafkaPythonSparkSQL
2 Days Ago
In-Office
Markham, ON, CAN
Senior level
Senior level
Insurance • Financial Services
Design, build, and maintain high-performance data pipelines on Snowflake using dbt and AWS. Own code (SQL, Python, Shell, Terraform), ensure data quality and governance, troubleshoot complex issues, lead agile delivery and mentor engineers, collaborate with architects and QA, and produce technical documentation.
Top Skills: Amazon AuroraAWSAws Managed AirflowDbt CloudDbt CoreHadoopJavaMongoDBPostgresPythonQlikSap BusinessobjectsShellSnowflakeSnowsightSQLStreamlitTerraformZena

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account