Bank of Montreal

Associate, Data Engineer

Bank of Montreal$90K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Graduate degree in Engineering, Computer Science, Mathematics, Physics, or a related quantitative field.
  • Strong programming skills in Python, Scala, or Java.
  • Expertise in distributed computing 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 (Docker, Kubernetes).
  • Excellent problem-solving, analytical, and communication skills.

Responsibilities

  • Design, develop, and optimize scalable data pipelines for large volumes of data.
  • Implement distributed data processing solutions using Spark and Kafka.
  • Ensure data integrity and high availability in critical workloads.
  • Model and design databases for advanced analytics and machine learning.
  • Develop and maintain ETL processes for diverse data sources.
  • Deploy data infrastructure in the cloud using containerization.
  • Collaborate with stakeholders to deliver tailored data solutions.

Benefits

  • Opportunities for professional growth and development.
  • Access to cutting-edge technologies.
  • Chance to impact critical business operations.
  • Health insurance and retirement savings plans.
  • Tuition reimbursement and additional perks.
Full Job Description
Application Deadline:

Address:
100 King Street West

Job Family Group:

Capital Mrkts Sales & Service

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 Bank of Montreal

The Bank of Montreal is a Canadian multinational investment bank and financial services company. It provides a wide range of personal and commercial banking, wealth management, and investment banking products and services. The bank had revenues of CAD 23.6 billion in 2020.
Learn more about Bank of Montreal
Size
45,454 employees
Market Cap
$60.9 billion
Industry
Founded
1817
5 Year Trend
+9.1%
NASDAQ

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