Senior Data Engineer

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, you'll provide technical leadership for the design and delivery of data products on CIBC's modern data platforms. You'll work closely with business partners and engineering teams to clarify requirements, design how data moves across systems, and guide implementation from concept through delivery. In this role, you'll contribute hands-on where needed while helping shape scalable, reliable, and customer-focused data solutions that support CIBC's digital transformation, cloud migration, and automation priorities. You'll also help evaluate and apply modern business intelligence and cloud technologies to improve reporting, dashboards, automation, and overall data capabilities. As a senior member of the team, you'll mentor other engineers and help ensure solutions align with CIBC's engineering and data standards.

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

- Technical leadership - Lead solution design for data products and data pipelines on modern cloud platforms. Guide engineers through implementation decisions and support high-quality delivery that aligns with business needs and CIBC's engineering standards.

- Data integration and delivery - Design and oversee how data moves between systems, including integration, transformation, and automation workflows. Support the delivery of reporting, dashboards, and related business intelligence solutions for internal partners.

- Partnership and requirements planning - Collaborate with business partners, product owners, and technical teams to clarify requirements, define scalable solutions, and translate needs into actionable engineering plans.

- Hands-on engineering - Contribute directly to development activities where needed, including building, enhancing, and optimizing data solutions using SQL, Python, and Azure-based technologies.

- Operational excellence - Monitor production and user acceptance testing activities, troubleshoot complex issues, and identify opportunities to improve functionality, stability, performance, and efficiency across data services.

- Coaching and continuous improvement - Mentor team members, share technical expertise, and promote best practices that strengthen delivery, innovation, and team capability.

Who you are

- You can demonstrate experience in data engineering and technical leadership. You bring 5+ years of experience designing and implementing data engineering solutions, with 3+ years leading technical work, including solution design, implementation guidance, and mentoring engineers. You have strong technical expertise and have experience with SQL, Python, Azure solution design, and Databricks. It's an asset if you have experience with Azure Data Factory, Power BI, or Microsoft Fabric.

- You give meaning to data. You enjoy investigating complex problems and designing practical, scalable solutions. You communicate technical concepts clearly and use sound judgment to support effective decision-making.

- Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise and partnering effectively across teams.

- You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You work collaboratively with business and technology partners to deliver strong outcomes.

- You live your values. You bring high standards, genuine care to your relationships, and want to grow with an employer that shares your values and brings out your best.

#LI-TA

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 aspire to give you a career, rather than just a paycheck.

- 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 support, 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.
- We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and 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 [email protected]
- CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
- 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 test (such as simulation, coding, French proficiency).
- We use artificial intelligence tools during the recruitment process. 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.

Job Location
Toronto-81 Bay, 27th Floor

Employment Type
Regular

Weekly Hours
37.5

Skills
Business Analysis, Business Intelligence (BI), Business Systems, Data Engineering, Data Integration, Data Solutions, Microsoft Azure, Project Delivery, Python (Programming Language), SQL Databases, Technical Leadership