Data Engineering Developer I – 4-Month Internship/Co-op (Winter 2027) 

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.

Our employee promise represents Intact’s commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us. Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented below is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.

Salary range (but not limited to)

66,500 - 83,100

About the role

Launching your tech career at Intact means joining a diverse team of more than 3,000 Digital, Data and Tech experts working at the intersection of what exists and what’s possible. Here, you’ll be supported by forward-thinking leaders who celebrate shared success, and you’ll help push the industry forward with digital solutions that go beyond insurance to offer everyday value to millions of people. You’ll grow personally and professionally with access to cutting-edge technology-driven learning platforms and make lasting connections near and far. Most importantly, you’ll discover how exciting the “real world” can be. Here, your career will take off 🚀 We are looking for Data Engineering Developer interns for our growing team!

What you’ll do here

With your team, you will participate in the development and delivery of efficient, effective and secure data flows. You will: Build, optimise and maintain data ELT/ETL pipeline to ingest data into Intact’s enterprise data platform leveraging Python and Databrick