1

Associate Data Engineer Jobs in Ontario (NOW HIRING)

Purpose Contributes to the overall success of the Data Engineering Team under GOCT Solution Architecture & Engineering. Ensures specific individual goals, plans, initiatives are executed / delivered ...

Data Engineer

Cambridge, ON · Hybrid

CA$64K - CA$114K/yr

Azure Data Engineer Associate). * Databricks certifications (Databricks Certified /Data Engineer Professional certification). * Experience with modern data transformation tools (dbt, Dataform, or ...

Azure Data Engineer Associate). * Databricks certifications (Databricks Certified /Data Engineer Professional certification). * Experience with modern data transformation tools (dbt, Dataform, or ...

Azure Data Engineer Associate). * Databricks certifications (Databricks Certified /Data Engineer Professional certification). * Experience with modern data transformation tools (dbt, Dataform, or ...

Data Engineer

Guelph, ON · On-site

CA$90K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Data Engineer

Kitchener, ON

CA$90K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Capital Mrkts Sales & Service, Data Analytics & Reporting BMO Capital Markets is a leading, full ... Strong programming skills (Python preferred) and experience with cloud technologies. Familiarity ...

Data and analytics are of critical importance for AXIS. Simply put, we want to turn data into ... developers and other technical experts that will then go forth and build them. Being the ...

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Senior Associate, Data Analyst About ... Science, Engineering, Mathematics, Statistics, Economics, Finance or a related discipline. * At ...

... Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

next page

Showing results 1-20

Associate Data Engineer information

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

What does an Associate Data Engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Ontario? The most popular types of Data Engineer jobs in Ontario are:
What are popular job titles related to Associate Data Engineer jobs in Ontario? For Associate Data Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Ontario look for? The top searched job categories for Associate Data Engineer jobs in Ontario are:
What cities in Ontario are hiring for Associate Data Engineer jobs? Cities in Ontario with the most Associate Data Engineer job openings:
Infographic showing various Associate Data Engineer job openings in Ontario as of June 2026, with employment types broken down into 3% Internship, 86% Full Time, 8% Part Time, and 3% Contract. Highlights an 74% In-person, 23% Hybrid, and 3% Remote job distribution.

CA$90K - CA$120K/yr

Other

Medical, Life, Retirement

Posted 12 days ago


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, withover 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 Americawith US$1.0 trillion total assets andapproximately 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.