We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you’ll be doing

As a Senior Data Engineer within CIBC’s People Data & Analytics team, you will design and build a resilient, consistent and observable people-data infrastructure that accelerates our modernization journey. You’ll translate complex HR data into well-governed, privacy-first assets that empower analysts, data scientists and business partners across the bank. Your work will enable faster insights, stronger decisions and a better employee experience.

At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

How you’ll succeed

• Shape our people-data architecture – Create canonical data models (staffing, demographics, recruiting, inclusion, talent) and curate marts that drive analytics and AI capabilities.

• Champion DataOps excellence – Embed CI/CD, Git standards, automated testing, peer reviews, and best-in-class documentation to ensure code quality and rapid, reliable releases.

• Optimize ingestion & transformation – Build and tune scalable Python/SQL(dbt) pipelines on Databricks, ensuring timeliness, efficiency, and high observability.

• Safeguard privacy & compliance – Apply a privacy-by-design mindset, minimize PII, and implement granular access controls that meet regulatory and internal standards.

• Enable data consumers – Partner with analysts, data scientists and HR leaders to understand use-cases, refine requirements, and deliver assets that unlock business value.

Who you are

• Seasoned data engineer – You bring 5 + years of hands-on experience designing cloud data solutions, pipeline automation and data modeling with SQL/Python

• DevSecOps advocate – You have a track record of integrating security, testing and deployment automation into everyday engineering practices.

• Curious problem-solver – You love untangling complex data challenges and continuously improving performance, reliability and maintainability.

• Business-minded collaborator – You translate technical concepts into clear language, influence stakeholders and drive consensus in cross-functional settings.

• Values-driven professional – You act with integrity, embrace diverse perspectives and hold yourself accountable for delivering exceptional outcomes.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

• We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points-based recognition program.

• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

*Subject to program terms and conditions

What you need to know

• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

• You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

• We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, French proficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Expected End Date

2026-07-31

Job Location

Toronto-81 Bay, 34th Floor

Employment Type

Temporary (Fixed Term)

Weekly Hours

37.5

Skills

Analytical Models, Analytical Thinking, Databricks Platform, Databricks SQL, Databricks Unity Catalog, Data Engineering, Data ETL, dbt Core, Development Planning, Git, GitHub, GitHub Actions, Microsoft Azure Databricks, People Analytics, Python (Programming Language), SQL Databases, Workforce Analytics