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Associate, Data Engineer
Associate, Data EngineerBMO • Toronto, ON, CA
Associate, Data Engineer

Associate, Data Engineer

BMO • Toronto, ON, CA
30+ days ago
Job type
  • Full-time
Job description

Join to apply for the Associate, Data Engineer role at BMO

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.

    Base Salary : $90,000–$120,000 CAD (subject to negotiation and candidate meeting specific skills, experience, education, and qualification requirements). Salaries will vary based on location, skills, experience, education, and qualifications for the role, and may include a commission structure. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. For more details on benefits, visit : https : / / jobs.bmo.com / global / en / Total-Rewards.

    BMO is committed to an inclusive, equitable and accessible workplace. Accommodations are available on request for candidates taking part in all aspects of the selection process.

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    Data Engineer • Toronto, ON, CA

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