You can also save this posting or score it againstyour profile with AI.## About the roleDesign, 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.## RequirementsRequires 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.## BenefitsHealth insuranceTuition reimbursementAccident insuranceLife insuranceRetirement savings plansPerformance-based incentivesDiscretionary bonuses## Full descriptionApplication Deadline:Address:100 King Street WestJob Family Group:Capital Mrkts Sales & ServiceBMO 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 RoleWe 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 TeamThe 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.· Proficiency in data modeling, database design,



and ETL processes.· Experience deploying data solutions in cloud environments (AWS, Azure, GCP).· 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 OfferJoin our Data Cognition Team at BMO Capital Markets and help drive data innovation in investment banking and global markets. 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:SalariedThe above represents BMO Financial Group's pay range and type.Salaries for part time roles will be pro-rated based on number of hours regularly worked. 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. It calls on us to create lasting, positive change for our customers, our communities and our people. 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.Accommodations are available on request for candidates taking part in all aspects of the selection process. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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📌 Associate- Data Engineer- Consulting (Toronto)
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