Cibc
Senior Analytics Engineer, Borrowing Solutions
Toronto, ON · Senior
Sponsorship not specifiedDetected 1 day ago
ExpressSQLDatabricksCI/CDMachine LearningSparkData EngineeringData VisualizationLLMsRecruitingCommunicationProblem Solving
About the role
- We need talented, passionate professionals who are dedicated to doing what's right for our clients.
- Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.
- You'll play a critical role in driving data modernization initiatives that enable outcome-based, data-driven decision-making across frontline business functions.
Responsibilities
- You'll support Borrowing Solutions and Alternate Channels within Personal Banking by transforming, modelling, testing, and organizing data so analysts and business partners can rely on trusted datasets to make informed decisions.
- You'll design and build scalable data pipelines, modernize backend data models, and deliver AI-driven capabilities that empower analysts and business partners to self-serve insights.
- You'll collaborate closely with stakeholders to ensure data assets are accurate, well-structured, and aligned to enterprise standards, while helping enable more proactive, outcome-based decision-making across the business.
- Lead Data Modernization Initiatives - Build and maintain Databricks Lakehouse architectures, migrating manual reporting processes into automated Delta Lake pipelines.
- Develop Scalable ETL/ELT Pipelines - Design, implement, and own transformation logic across Bronze, Silver, and Gold layers, ensuring data quality, reconciliation, and maintainability.
- Build Governed Data Models - Create reusable Gold-layer data models that support frontline analytics and self-serve reporting, applying dimensional modeling and performance optimization practices.
- Enable Self-Serve Reporting - Deliver Power BI semantic models, datasets, and dashboards, supporting scalable reporting and role-based data access.
- Integrate AI-Enabled Capabilities - Design and implement practical AI-driven insight features, including automated narrative generation and natural-language querying, where they add measurable business value.
- Act as Technical Lead - Lead migration workstreams, drive technical planning, documentation, and operational readiness, ensuring solutions are supportable and scalable.
Requirements
- You have practical AI/ML literacy.
- We cultivate a culture where you can express your ambition through initiatives like Purpose Day
- We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
Nice to have
- Establish Engineering Standards - Promote reusable patterns, coding standards, and CI/CD practices suitable for Databricks and Power BI environments.
- Bridge Business and Engineering
- Translate business questions and reporting requirements into technical data solutions, partnering closely with stakeholders to ensure models and datasets reflect business priorities and decision-making needs.
- You bring strong data engineering / analytics engineering experience.
- You have 5+ years of progressive experience in data engineering, analytics engineering, or a related field, ideally within financial services or another regulated, data-intensive environment.
- You have experience with modern data platforms.
- You're highly skilled in data modeling and analytics.
- You apply dimensional modeling, slowly changing dimensions, data quality controls, reconciliation, and performance optimization at scale.
Compensation
- We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing
Company info
- At CIBC we enable the work environment most optimal for you to thrive in your role.
This listing is sourced directly from Cibc's careers page and normalized into a canonical job model.