Data Engineer at Borrowell, building and maintaining data infrastructure. Collaborating on solutions using Snowflake, Apache Airflow, and other tools.

Who we areBorrowell is a Canadian company with a single goal in mind: to make financial prosperity possible for everyone.
The first in Canada to offer free credit scores and rent payment reporting, Borrowell provides educational resources, monitoring, innovative digital tools, and personalized product recommendations to help people feel in control and optimistic about their financial future.
Our data shows that Borrowell members reported up to a 100-point increase in their credit score after one year of using select Borrowell products.With more than 2 million members, Borrowell is one of the largest fintech companies in Canada.
We’re proud to have been named as one of the Best Workplaces in Canada every year since 2019, Globe and Mail’s Top Growing Companies (2021), LinkedIn’s Top 15 Startups in Canada (2021), and CB Insights’ Top 250 Fintechs (2021).To support us on our mission, we’re building an exceptional team of high-performing yet humble individuals who believe Canadians deserve more choice when it comes to financial services.
Put simply, we put people first.
We place a high value on building a diverse and inclusive workplace and are proud to have a gender-balanced team.
We know that diverse teams perform better; half of our team identify as women or non-binary.
We’re always on the lookout for passionate and driven people.
If you think you’d be a great fit at Borrowell, read on to learn more about us and how our business works!
Browse and apply for open jobs at Borrowell.
Data Engineer at Borrowell, building and maintaining data infrastructure. Collaborating on solutions using Snowflake, Apache Airflow, and other tools.
Test Automation Developer at Borrowell ensuring robust and high - quality product launches in a dynamic team. Join a mission - driven company empowering Canadians to take control of their financial futures.
Senior Data Scientist at Borrowell influencing product direction through data - driven recommendations. Collaborating with various teams to design and scale ML - driven systems for personalized member experiences.