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Added 1 month ago
Sr. Data Engineer
eBay
Toronto, ON
Full-time
Proficiency in Python, Java, and Scala, with a strong foundation in data structures and multithreading.
Added 1 month ago
Data Engineer
eBay
Toronto, ON
Full-time
Strong programming experience with Python, Java, and/or Scala, supported by solid computer science fundamentals.
Added 1 month ago
Senior Data Platform Engineering Specialist
CGI
Toronto, ON
Full-time
Added 1 month ago
Senior/Staff Software Engineer, Data Platform
Terminal
Toronto, ON
$200,000 to $295,000 CAD / year
Full-time
Strong in Java or another JVM language (Scala, Kotlin), or confident to pick it up fast.
Added 1 month ago
Data Engineer
Blackline Safety
Remote, Canada
Full-time · Remote
Strong proficiency in SQL, Python, Java, and/or Scala.
Added 1 month ago
Principal Software Engineer
Acceldata
Kitchener, ON
Full-time
Expert-level proficiency in Java or Scala; strong skills in Python and systems languages.
Added 1 month ago
Staff Software Engineer
Acceldata
Kitchener, ON
Full-time
Expert-level proficiency in Java or Scala, with strong Python skills. Experience with systems languages is a plus.
Added 1 month ago
Senior Software Engineer
Acceldata
Kitchener, ON
$100,000 to $140,000 CAD / year
Full-time
Extensive hands-on experience with advanced Java, Scala, or Python, developed and prepared project build models associated with Maven, Gradle, or SBT.
Added 1 month ago
Lead Software Engineer - Back End (FinTech) (Bangkok based - Relocation provided)
Agoda
Toronto, ON
Full-time
10+ years of experience with strong proficiency in Java, Kotlin, Scala, or C# with a proven track record of developing high-performance applications in production settings. Insightful…
Added 1 month ago
Big Data Developer
Tata Consultancy Services
Toronto, ON
$90,000 to $110,000 USD / year
Full-time
Strong experience with Spark (PySpark/Scala) and Hadoop.
Added 1 month ago
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, ON
Full-time
Proficiency in at least one production-grade language such as Python, Java, Scala, Kotlin, Go, C#, or similar.
Added 11 days ago
Senior GCP Data Engineer
Capgemini
Mississauga, ON
Proficiency in SQL, Python, Java/Scala, and distributed systems (Spark, Beam). GCP Expertise: Hands-on with BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), and Terraform. DevOps:…
Added 13 days ago
Data Engineer
Scotiabank
Toronto, ON
Working knowledge of Java and/or Scala, especially in Spark or big data processing environments.
Added 1 month ago
Principal Investigator, AI Hub
Durham College
Oshawa, ON
Added 2 months ago
Solutions Architect
Databricks
Toronto, ON
Full-time
Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.
Added 16 days ago
Staff Software Engineer, Product Risk
Stripe
Toronto, ON
Knowledge of a backend development language (such as Scala, Java, or Go) and strong SQL experience
Added 2 months ago
Forward Deployed Engineer
Shakudo
Toronto, Ontario
Full-time
Proficiency in at least one production programming language such as Python, Go, TypeScript, Java, or Scala.
Added 3 months ago
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, Ontario
$150,000 to $190,000 CAD / year
Full-time
Proficiency in at least one production-grade language such as Python, Java, Scala, Kotlin, Go, C#, or similar.
Added 3 months ago
Principal Platform Engineer, Machine Learning
RAVL
Toronto, Ontario
Full-time
Strong backend engineering (Python/Scala/Java)
Added 3 months ago
Data Engineer
RAVL
Toronto, Ontario
Full-time
roficiency in SQL and one or more programming languages (Python, Java, or Scala)
Added 1 month ago
Solutions Architect
Databricks
Toronto, ON
Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.
Added 9 days ago
Senior Java Developer, TD Securities
TD
Toronto, ON
Full-time
We are looking for a motivated Senior Java Developer (Engineer I) to join our Trading Risk Warehouse platform team within TD Securities. The successful candidate will contribute to the…
Added 3 months ago
Senior Data Engineer I - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, Ontario
Full-time
Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
Added 9 days ago
Java Developer
Genpact
Montreal, QC
Full-time
Can work on a collaborative cross-technology team where Java, APIs (services), PL/SQL interact with a range of business logic interfaces & systems.
Added 11 days ago
Associate, Data Engineer
BMO
Toronto, ON · FCP
· Strong programming skills in Python, Scala, or Java, with a passion for learning new technologies.

BMO

Associate, Data Engineer

Toronto, ON, Canada
FCP, Canada

Pay: Base Salary: $90,000-$120,000 CAD
Apply by: Oct 26, 2026
Posting language: English
Posted: Sep 10, 2026

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Original job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Capital Mrkts Sales & Service

BMO Capital Markets is a leading, full-service North American-based financial services provider, with over 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services. BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North America with US$1.0 trillion total assets and approximately 54,000 employees as of January 31, 2025.

About the Role

We are seeking a skilled and motivated Data Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust data infrastructure and scalable platforms that enable advanced analytics and machine learning across Investment Banking and Global Markets. You will collaborate with AI engineers and data scientists to deliver high-quality, data-centric solutions that empower business decisions.

Our Team

The Data Cognition Team (DCT) at BMO Capital Markets delivers a sustainable and scalable suite of AI-enabled data products and platforms for multiple business units. We leverage the latest data engineering and analytics technologies to solve complex business challenges and drive strategic transformation across Investment Banking, Global Markets, and other divisions.

Key Responsibilities

· Design, develop, and optimize scalable data pipelines for ingesting, processing, and storing large volumes of structured and unstructured data.

· Implement distributed data processing solutions using technologies such as Spark, Kafka, and cloud-native services.

· Ensure data integrity, reliability, and high availability in mission-critical workloads.

· Model and design databases and data architectures to support advanced analytics, machine learning, and AI applications.

· Develop and maintain ETL processes for transforming and loading data from diverse sources.

· Deploy data infrastructure and distributed computing environments in the cloud using containerization (Docker, Kubernetes).

· Monitor, benchmark, and tune data processing applications for optimal performance and scalability.

· Collaborate with cross-functional stakeholders to understand business requirements and deliver tailored data solutions.

· Implement robust testing, observability, and monitoring solutions to maintain system health and performance.

· Stay current with technology trends, best practices, and industry standards in data engineering and platform development.

Qualifications

· Bachelor’s or Graduate degree in Engineering, Computer Science, Mathematics, Physics, or related quantitative discipline.

· Strong programming skills in Python, Scala, or Java, with a passion for learning new technologies.

· Expertise in distributed computing, stream processing, and application development using Spark and Kafka.

· Proficiency in data modeling, database design, and ETL processes.

· Experience deploying data solutions in cloud environments (AWS, Azure, GCP).

· Familiarity with containerization and orchestration tools (Docker, Kubernetes).

· Excellent problem-solving and analytical skills with attention to detail.

· Strong communication skills for collaboration with technical and business stakeholders.

Nice to Have

· Financial domain knowledge: familiarity with investment banking concepts, trading strategies, and financial data formats (e.g., time series, tick data).

· Experience with Generative AI or Agentic AI technologies, including integration into data-driven solutions.

What We Offer

Join our Data Cognition Team at BMO Capital Markets and help drive data innovation in investment banking and global markets. We offer opportunities for professional growth, access to cutting-edge technologies, and the chance to make a significant impact on critical business operations. Apply today with your resume, highlighting your experience in data engineering and distributed systems.

Base Salary: $90,000-$120,000 CAD

(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

Salary:

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, build, and maintain scalable data infrastructure and pipelines to support advanced analytics and machine learning. Collaborate with cross-functional teams to deliver high-quality, data-centric solutions for investment banking and global markets.

Requirements

Requires a degree in Engineering, Computer Science, Mathematics, Physics, or a related quantitative discipline. Candidates must possess strong programming skills and experience with distributed computing, cloud environments, and containerization tools.

Skills

Python
Scala
Java
Spark
Kafka
Data engineering
Data modeling
ETL processes
Cloud computing
AWS
Azure
GCP
Docker
Kubernetes
Distributed computing
Stream processing

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
Scala
Java
Spark
Kafka
Cloud-native
AWS
Azure
GCP
Docker
Kubernetes
ETL
Data Modeling
Distributed Systems
Stream Processing
Investment Banking
Global Markets
Machine Learning
AI
Data Pipelines
Database Design
Observability
Performance Tuning
Financial Data
Time Series
Tick Data
Generative AI
Agentic AI
Data Cognition

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