Associate, Data Engineer - C$90,000 - C$120,000 A Year
Posted
Summary
Design, build, and maintain scalable data pipelines, ETL processes, and cloud data infrastructure (Spark, Kafka, Docker/Kubernetes) supporting analytics, machine learning, and AI for Investment Banking and Global Markets, collaborating with AI engineers and data scientists at BMO Capital Markets.
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.
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 a 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 (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. We offer opportunities for professional growth, access to cutting‑edge technologies, and the chance to make a significant impact on critical business operations.
Salary and CompensationBase Salary: $90,000‑$120,000 CAD (subject to negotiation and candidate qualifications). Compensation may include performance‑based incentives, discretionary bonuses, and other perks and rewards. Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans are also part of the package.
BenefitsComprehensive benefits including health insurance, tuition reimbursement, accident and life insurance, retirement savings plans, and more. For detailed benefits information, visit https://jobs.Bmo.Com/global/en/Total-Rewards.
EEO StatementBMO 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.
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 a 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 (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. We offer opportunities for professional growth, access to cutting‑edge technologies, and the chance to make a significant impact on critical business operations.
Salary and CompensationBase Salary: $90,000‑$120,000 CAD (subject to negotiation and candidate qualifications). Compensation may include performance‑based incentives, discretionary bonuses, and other perks and rewards. Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans are also part of the package.
BenefitsComprehensive benefits including health insurance, tuition reimbursement, accident and life insurance, retirement savings plans, and more. For detailed benefits information, visit https://jobs.Bmo.Com/global/en/Total-Rewards.
EEO StatementBMO 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.