Date limite pour présenter sa candidature : 05/30/2026 Adresse : 4100 Gordon Baker Road Groupe de famille d'emploi : Technologie About the team Data 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 do Develop and document the technical design of a solution that solves a business problem Lead in the analysis and design phases of the software development life cycle Identify, interpret, and map all required input and output data Create data models and mapping documents Provide direction, coaching, and guidance junior analysts Strengthen development capability via mentoring, knowledge sharing, and building communities of practice Stay abreast of industry technical and business trends What 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, Scala Ability to collect, organize, analyze, and disseminate data Experience in data warehousing, data modeling, and data mapping Applied knowledge of problem decomposition and analysis techniques Experience with SSIS, Spark, Unix/Linux scripting, cloud computing services (e.g. AWS), Hadoop, Netezza Familiarity with structured and non-structured datastore technologies Strong documentation, communication, collaboration, and problem-solving skills Ability to prioritize work and manage multiple work streams concurrently Nice to have Knowledge of technical/business environment and processes Comprehension of predictive analytics and AI/ML Salaire $75,900.00 - $141,900.00 Type de rémunération Salaire Inclusion Statement BMO s'engage à offrir un milieu de travail inclusif, équitable et accessible. Des mesures d’adaptation sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. Pour demander des mesures d’adaptation, veuillez communiquer avec votre recruteur. #J-18808-Ljbffr