Associate, Data Engineer

Reposted 27 Days Ago
Toronto, ON, CAN
In-Office
90K-120K Annually
Junior
Financial Services
The Role
Design, build, and maintain scalable data pipelines and infrastructure using Spark, Kafka, cloud platforms and containerization. Ensure data integrity, ETL, high availability, performance tuning, observability, and collaborate with AI/data science teams to enable analytics and ML solutions.
Summary Generated by Built In

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.

Skills Required

  • Bachelor's or Graduate degree in Engineering, Computer Science, Mathematics, Physics, or related quantitative discipline.
  • Strong programming skills in Python, Scala, or Java.
  • Expertise in distributed computing and stream processing 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).
  • Experience implementing testing, observability, and monitoring solutions for data systems.
  • Excellent problem-solving, analytical and communication skills.
  • Financial domain knowledge: investment banking, trading data formats (time series, tick data).
  • Experience with Generative AI or Agentic AI technologies and integration into data solutions.

BMO Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BMO and has not been reviewed or approved by BMO.

  • Parental & Family Support Paid parental leave up to 16 weeks at full pay for all new parents, plus up to $20,000 for adoption, surrogacy, and fertility, and 10 days of paid backup childcare indicate robust family support. These elements stand out within BMO’s U.S. package.
  • Retirement Support A 401(k) design combining a core employer contribution with dollar-for-dollar matching up to a set portion of pay, plus immediate vesting on match and employee contributions, signals strong retirement funding. The core contribution’s three-year vesting is clearly defined.
  • Leave & Time Off Breadth Vacation accrual scales with grade and service, alongside 9–10 paid holidays and additional paid time off buckets (bereavement, school activities, civic duties, blood donation, volunteering). This breadth offers multiple avenues for time away beyond standard vacation.

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The Company
HQ: Toronto, Ontario
51,885 Employees

What We Do

At BMO, banking is our personal commitment to helping people at every stage of their financial lives. The truth is, people’s needs change: so we change too. But we never change who we are. Which means we’ll never waiver from providing our customers the best possible banking experience in the industry. Our incredible team of over 46,000 people is just the tip of the iceberg. You should get to know us. We’re here to help.

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