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Added 4 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
Are you looking for a caring, collaborative, values-driven workplace with inspiring teammates and leaders? Do you have the ambition and desire to be the best and thrive at the most…
Added 4 days ago
C
Ingénieur(e) applications GenAI / agentiques et DevSecOps
CGI
Montreal, QC
- Full-time
Design, develop and deploy generative AI and agentic applications (assistants, RAG, multi-agent workflows and process automation) aligned with clients’ business needs, in accordance with…
Added 4 days ago
C
Senior Enterprise Architecture Consultant – Enterprise Modernization
CGI
Vancouver, BC
- Full-time
…engineers and stream architects, balancing near term delivery needs with long term architectural integrity. The role ensures solutions are scalable, performant, secure, compliant, and…
Added 4 days ago
OH
Senior Quality Assurance Engineer
Ontario Health | Santé Ontario
Toronto, ON
- Full-time
The role designs, builds, and maintains automated testing frameworks, tools, scripts, environments, and test assets; collaborates with project and product teams to integrate testing into…
Added 4 days ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Experience with LLMs, AI agents, tool calling, orchestration frameworks, APIs, cloud, containers, and security automation.
Added 4 days ago
I
Database Automation Test Engineer
INFOYA
Toronto, ON
- $75,000 to $80,000 CAD / year
- Full-time
experienced Senior Automation Engineer with strong expertise
Added 4 days ago
AI
Cloud Platform Engineer – AWS, Python, DevOps & AI/LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting.
Added 4 days ago
Senior Manager, Expense Oversight and Transparency - Finance
Scotiabank
Toronto, ON
…informed decision-making, operational discipline, and alignment with internal policies, controls, and risk frameworks. The role is accountable for recurring reporting and forecasting…
Added 4 days ago
Data Engineer Sr
Insight Enterprises, Inc.
Toronto, ON
Experience with distributed data processing technologies such as Spark or equivalent frameworks.
Added 4 days ago
I
Database Automation Test Engineer
Infoya
Toronto, ON
- $75,000 to $80,000 CAD / year
- Full-time
About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in database testing and automation, data pipeline testing and ETL validation. The…
Added 4 days ago
SL
Senior Security Platform Developer, Security Automation (Python, Splunk SOAR)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
The Security Automation & Orchestration team builds automation that connects and enhances security capabilities across Security Operations. Working across technologies such as SIEM,…
Added 4 days ago
D
Senior Software Developer
DNV
Toronto, ON
- Full-time
The Senior Software Developer is responsible for designing, developing, and maintaining data services, APIs, backend systems, and AI-ready data foundations that support scalable platform…
Added 4 days ago
GD
Junior Systems Engineer - Networking
General Dynamics Missions System International
Ottawa, ON
- Full-time
Experience with automation tools such as Ansible, Squish and Python
Added 4 days ago
TS
Analyst, Client Solutions – Global Transaction Banking
TD Securities
Toronto, ON
- Full-time
Experience with Python or other scripting languages is an asset.
Added 4 days ago
S
Senior Data Engineer
Sobeys
Stellarton, NS
- Full-time
Significant experience (5+) developing with Spark (python/Vscode/Databricks Notebooks preferably) and specifically within Azure Databricks.
Added 4 days ago
OH
Senior Quality Assurance Engineer
Ontario Health
Toronto, ON
- Full-time
The role designs, builds, and maintains automated testing frameworks, tools, scripts, environments, and test assets; collaborates with project and product teams to integrate testing into…
Added 4 days ago
T
Analyst, Client Solutions – Global Transaction Banking
TD
Toronto, ON
- Full-time
Experience with Python or other scripting languages is an asset.
Added 4 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Hands-on experience with API and backend automation, including Rest Assured, Postman, or equivalent tools/frameworks.
Added 4 days ago
A
Forward Deployed Technical Consultant-Databricks: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks.
Added 4 days ago
A
Forward Deployed Technical Consultant-Snowflake: AI&Data Advanced Technology Centers
Accenture
Mississauga, ON · Montreal, QC
- Full-time
Design and implement ELT/ETL frameworks using Snowflake SQL, Snowpark Python, Dynamic Tables, Streams, Tasks, and Snowpipe for batch, streaming, CDC, and event-driven ingestion patterns
Added 4 days ago
AC
SAS/Python Developer
Adastra Corporation
Markham, ON
- Full-time
Join Adastra’s Data Engineering team as a SAS/Python Developer, where you will help build and modernize the data platforms that power customer analytics, personalization, marketing, risk,…
Added 4 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Advanced proficiency in Python and SQL, with strong engineering practices across modular development, performance optimization, automated testing, troubleshooting, and maintainable code…
Added 4 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Design and deliver scalable data, analytics, and automation solutions that transform complex business processes and enable new capabilities across the organization. This role combines…
Added 4 days ago
E
Embedded Software Engineer
EPITEC
Ottawa, ON · Kanata, ON
- Full-time
Develop automation scripts and test applications using Python and C/C++
Added 4 days ago
GD
Junior Systems Engineer - Networking
General Dynamics Mission Systems–Canada
Ottawa, ON
- Full-time
Experience with automation tools such as Ansible, Squish and Python

BMO

Senior Data Engineer

Toronto, ON, Canada
FCP, Canada

$80,000.00 - $175,000.00 · Full-time

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Job details

Pay: $80,000.00 - $175,000.00
Job type: Full-time
Apply by: Nov 7, 2026
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.

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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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