Jobs in Canada

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Added 22 days ago
OH
Senior Quality Assurance Engineer
Ontario Health
Toronto, ON
- Full-time
The Senior Quality Assurance Engineer is responsible for ensuring the quality, reliability, and performance of digital solutions through manual and automated testing. The role leads testing…
Added 22 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 22 days ago
HO
Operations Business Intelligence Engineer
Hydro Ottawa
Ottawa, ON
- Full-time
…framework offers a clear, transparent pathways to intermediate and senior levels. Wherever you are in your career, there’s a path for growth ahead of you…
Added 22 days ago
IC
Data Analytics Engineer
Infotek Consulting Inc.
Toronto, ON
- Contract
Work Arrangement: Hybrid – 1 day per week in office
Added 22 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Build and optimize scalable batch and near-real-time data pipelines using Python, SQL, SAS, AWS Glue, Athena, PySpark, APIs, databases, file-based integrations, and cloud object storage.
Added 22 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Build and modernize data-driven workflows using Python, SQL, SAS, AWS Glue, Athena, PySpark/Spark, APIs, and approved automation technologies.
Added 22 days ago
FT
Director, Forward Deployed Engineering
FDE Times
Chalk River, ON
- Full-time
Strong hands-on technical skills - proficient in Python and SQL, comfortable going deep on customer architectures and data infrastructure
Added 22 days ago
PI
Senior Data Engineer
PENN Interactive
Canada
- Full-time
As a Senior Data Engineer, you’ll work hand-in-hand with the Data Services team to build, validate and deliver transformed data to meet stakeholder requirements. The ideal candidate has…
Added 22 days ago
OR
Network Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
As a Network Engineer, you will be instrumental in designing, managing, and securing our corporate network infrastructure, Fortinet ecosystem, and cloud connectivity. Your expertise will…
Added 22 days ago
L
Senior AI/ML Engineer
Limbic
Remote, Canada
- Full-time
- Remote
Senior AI/ML Engineer, remote in Canada: own the AI that assesses patients for US healthcare providers and gets them to the right mental health care faster.
Added 22 days ago
KI
Senior QA Engineer
KPG99 INC
Toronto, ON
- Full-time
Proficiency in Python or equivalent scripting language for test development
Added 22 days ago
H
Senior ML Engineer
Hays
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Senior Machine Learning Engineer – GenAI & Personalisation
Added 22 days ago
Senior Vehicle Systems Engineering
Geotab
Waterloo, ON
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Vehicle Systems Engineer to lead complex vehicle…
Added 22 days ago
TR
Senior Software Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
We are looking for a hands-on Senior Software Engineer with strong DevOps and cloud platform expertise to design, build, deploy, and operate scalable cloud-native services and the…
Added 22 days ago
AT
Power BI Developer
Arkhya Tech Inc.
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems
Added 22 days ago
ZC
Data Engineer
Zurich Canada
Toronto, ON
- Full-time
Implement data transformations using Python and SQL, following established engineering standards and patterns
Added 22 days ago
E
Sr. Software Engineer - Backend
eBay
Toronto, ON
- Full-time
We are looking for a Senior Software Engineer with strong backend development experience and hands-on expertise in cloud infrastructure and DevOps.
Added 22 days ago
Q
GCP Senior Data Engineer
Querentia
Toronto, ON
- Contract
We are seeking a GCP Data Engineer with hands-on experience in Google Cloud Platform (GCP) services, particularly BigQuery, and knowledge of DBT for data transformation and modeling. The…
Added 23 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 23 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 23 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 23 days ago
P
Senior Data Engineer (Lead)
Punt
Vancouver, BC
- $130,000 to $170,000 CAD / year
- Full-time
We are looking for a Senior Data Engineer to join our Data Spine function. The team owns the canonical event contract, the warehouse, the certified data layer and the serving layer. Every…
Added 23 days ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
Python · Java · SQL · PySpark · AWS (EKS, SageMaker, Bedrock, Agentcore, DynamoDB, Elasticache, Lambda, LoadBalancer, Glue, Kinesis, S3) · Kubernetes · Docker · Snowflake · SnowPark ·…
Added 23 days ago
P
Senior Software Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
Our hospitality team builds the upsell engine behind millions of guest journeys, and right now we need a senior engineer who wants to re-engineer how software gets built by weaving AI into…
Added 23 days ago
OR
Senior Systems Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
As the Senior Systems Engineer, you will be instrumental in managing our corporate infrastructure, cybersecurity and cloud services. Your expertise will ensure the highest reliability and…

BMO

Senior Data Engineer

Toronto, ON, Canada
FCP, Canada

$80,000.00 - $175,000.00 · Full-time

Apply on bmo.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: $80,000.00 - $175,000.00
Job type: Full-time
Experience: 7+ years of experience in data engineering, analytics engineering, or a related discipline, with demonstrated ownership of production-grade data and automation solutions.
Posting language: English
Posted: Oct 20, 2026

Original job description

Application Deadline:

11/06/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

Design and deliver scalable data, analytics, and automation solutions that transform complex business processes and enable new capabilities across the organization. This role combines hands-on engineering with strong analytical and business acumen to translate complex requirements into governed data models, pipelines, APIs, and intelligent automation solutions.

Key Engineering & Automation Responsibilities

Own end-to-end delivery of data and automation solutions, including pipelines, curated datasets, semantic models, APIs, and analytical data products.
Translate complex business needs into scalable technical solutions, defining requirements, business rules, source-to-target mappings, controls, and acceptance criteria.
Identify and engineer automation opportunities, applying conventional and AI-enabled approaches where appropriate while balancing business value, risk, controls, maintainability, and delivery effort.
Design scalable data models for complex business and investment domains, enabling consistent definitions across reporting, analytics, digital experiences, and downstream applications.
Build and modernize data-driven workflows using Python, SQL, SAS, AWS Glue, Athena, PySpark/Spark, APIs, and approved automation technologies.
Engineer trust and control into data solutions through reconciliation, validation, exception management, human oversight, lineage, auditability, and data-quality controls.
Operationalize production solutions through monitoring, documentation, support processes, failure handling, and sustainable remediation.
Provide technical guidance and mentorship through solution design, code reviews, testing strategies, domain knowledge sharing, and production-readiness reviews.
Communicate data lineage, solution behaviour, assumptions, dependencies, and technical trade-offs effectively across technical, business, and senior stakeholder audiences.

Investment Data & Asset Management

Apply working knowledge of investment products and structures, including mutual funds, ETFs, pooled funds, segregated mandates, separately managed accounts, alternatives, fixed income, equities, derivatives, and cash instruments.
Work across key investment and business data domains, including AUM/AUA, flows, revenue, holdings, transactions, performance, benchmarks, client and account hierarchies, distribution, and product/reference data.
Design solutions around security and reference data, including identifiers, classifications, pricing, FX rates, corporate actions, and effective-dated relationships.
Partner across business and technology teams to translate complex domain requirements into scalable, governed, and maintainable solutions.
Build traceability and reproducibility into data products, supporting analytical, management, client, operational, and regulatory use cases.

Required qualifications

Bachelor’s degree in computer science, engineering, data, or a related discipline, or equivalent practical experience; investment-industry education or credentials are an asset.
7+ years of experience in data engineering, analytics engineering, or a related discipline, with demonstrated ownership of production-grade data and automation solutions.
Advanced proficiency in Python and SQL, with strong engineering practices across modular development, performance optimization, automated testing, troubleshooting, and maintainable code design.
Strong experience with modern data engineering patterns, including ETL/ELT, APIs and data integration, orchestration, relational and dimensional modelling, data warehousing, lakehouse architectures, and distributed data processing.
Proven ability to translate complex investment and operational requirements into scalable data models, controls, workflows, and technical designs.
Experience integrating data across databases, APIs, files, vendor feeds, and enterprise applications.
Strong experience with data profiling, mapping, reconciliation, lineage, metadata, and data-quality management.
Hands-on experience designing and delivering solutions on cloud-based data platforms, preferably AWS, together with modern engineering practices including Git, testing, CI/CD, observability, and monitoring.
Strong communication, facilitation, analytical, and problem-solving capabilities, with the ability to navigate ambiguity and collaborate effectively across technical and business teams.

Preferred qualifications

Experience supporting investment performance, product analytics, distribution analytics, operations, or financial and management reporting.

Familiarity with market and reference-data providers, portfolio/accounting platforms, CRM platforms, transfer-agency systems, fund administration, or comparable investment-data ecosystems.

Experience with modern data platforms and technologies such as AWS data services, Databricks, Snowflake, Redshift, SageMaker, Airflow, and dbt, or comparable technologies.

Experience modernizing legacy data and reporting ecosystems, including SAS, TIBCO IBI WebFOCUS, spreadsheet-driven processes, and other legacy or on-premises platforms.

Familiarity with enterprise data governance and control frameworks, including privacy, security, entitlements, data lineage, records management, and regulatory controls within financial services.

Exposure to AI-enabled automation and advanced analytics patterns, including the controlled integration of AI capabilities into production workflows.

What Success Looks Like

Less reliance on manual and spreadsheet-dependent processes through scalable, controlled, and supportable automation.
Consistent business definitions and reusable investment-data models across analytical and operational data products.
Faster translation of business needs into production solutions, connecting investment-domain requirements with technically sound designs.
Fewer reporting breaks, manual interventions, and downstream data issues through stronger controls, reconciliation, exception handling, and observability.
Greater stakeholder confidence in critical investment data, including AUM, flows, revenue, performance, product, client, and operational information.
Practical adoption of automation and AI capabilities where they deliver measurable value while maintaining appropriate controls, traceability, and human oversight.
Stronger collaboration between business and operations teams, with complex investment concepts translated into maintainable data models, workflows, and engineering solutions.

Salary:

$80,000.00 - $175,000.00

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.

Apply on bmo.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

Design and deliver scalable data, analytics, and automation solutions to transform complex business processes. Own the end-to-end delivery of data pipelines, curated datasets, and intelligent automation while ensuring data quality and governance.

Requirements

Requires a bachelor's degree in computer science, engineering, or a related field and 7+ years of experience in data engineering. Candidates must possess advanced proficiency in Python and SQL, along with strong experience in cloud-based data platforms and modern engineering practices.

Skills

Python
SQL
Data engineering
AWS
Data modeling
ETL/ELT
APIs
PySpark
Data quality management
Automation
Cloud platforms
CI/CD
Data lineage
Investment domain knowledge
Analytical skills
Mentorship

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
AWS Glue
Athena
PySpark
ETL
ELT
Data Modeling
Data Warehousing
Lakehouse Architecture
APIs
Automation
Git
CI/CD
Observability
Databricks
Snowflake
Redshift
SageMaker
Airflow
dbt
SAS
Investment Data
Data Governance
Data Lineage
Financial Services
Metadata Management
Performance Optimization
Distributed Data Processing

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Jobs in Canada