Overview

Application Deadline: 08/30/2026 Address: 4100 Gordon Baker Road Job Family Group: TechnologyAbout the teamData and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by providing enterprise-scale solutions using data, analytics, and technology capabilities. As a central organization, DnA collaborates with groups across the bank such as Finance, Risk, AML, FCU, HR, Marketing, Wealth, Capital Markets, Personal and Business Banking, Global Asset Management, etc. on various data initiatives. We deliver hundreds of data transformation initiatives every year to help our partners solve problems and make smarter data-driven decisions.We are a very diverse organization with plenty of exciting opportunities to apply your unique skills to solve complex business problems. There are plenty of opportunities to grow and learn from others as DnA is on a transformational journey to modernize our platforms and capabilities toward a best-in-class, cloud-based data warehousing environment. If you love data, complex challenges, cutting-edge technologies, and opportunities to learn, then this is the team you want to be in.What will you doDevelop and document the technical design of a solution that solves a business problemLead in the analysis and design phases of the software development life cycleIdentify, interpret, and map all required input and output dataCreate data models and mapping documentsProvide direction, coaching, and guidance junior analystsStrengthen development capability via mentoring, knowledge sharing, and building communities of practiceStay abreast of industry technical and business trendsWhat do you need to succeed?5 - 7 years of relevant experience and IT education and/or certification(s)5+ years of experience in one or more of SQL, NoSQL, Python, ScalaAbility to collect, organize, analyze, and disseminate dataExperience in data warehousing, data modeling, and data mappingApplied knowledge of problem decomposition and analysis techniquesExperience with SSIS, Spark, Unix/Linux scripting, cloud computing services (e.g. AWS), Hadoop, NetezzaFamiliarity with structured and non-structured datastore technologiesStrong documentation, communication, collaboration, and problem-solving skillsAbility to prioritize work and manage multiple work streams concurrentlyNice to haveKnowledge of technical/business environment and processesComprehension of predictive analytics and AI/ML Salary : $75,900.00 - $141,900.00 Pay Type: SalariedThe 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: About UsAt 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 traini