Velocity - Data Engineer Internship/Co-Op - Winter 2027

Scotiabank · Toronto, ON, CA

  • Internship/Co-Op

About the role

Title: Velocity - Data Engineer Internship/Co-Op - Winter 2027

Requisition ID: 273035

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Term: January 2027 – April 2027

Work Hours/Week: 37.5

Application Deadline: October 02, 2026

Ready to Start your Journey with Scotiabank? Apply Now!

For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential.

There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you'll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There's a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

Is this role right for you? In this role, you will:

  • Perform data exploration on different data sources and model training
  • Productionalize/Operationalize advanced analytics models following the Bank standards. ModelOps plays a key role as a liaison with other teams (Security, Privacy, Data Office, Analytics, Technology, among others)
  • Automate data pipelines and trigger actions/events to streamline business processes and models enablement
  • Enable mechanisms for Data Scientist and stakeholders to monitor the performance of a Model
  • Monitor the run time of the models, work closely with Data Scientist on continuous optimization
  • Monitor data pipelines, liaise with vendors, and source systems groups in the event of failures/maintenance
  • Migrate data pipelines and models to new analytics platforms
  • Experiment & learn!

Do you have the skills and requirements that will enable you to succeed in this role? – We'd love to work with you if:

  • You are currently enrolled in post-secondary education.
  • You love to learn and envision yourself working for an international organization that heavily invests in your future.
  • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
  • You have knowledge/experience in:
  • Big Data Technologies (Hive/Beeline, HDFS, Sqoop, Spark)
  • Cloud platforms – GCP, Azure or AWS
  • MinIO Data Storage, Airflow, Trino
  • DB2, SQL Server
  • Python (PyHive, PySpark), R, SQL-Shell (Bash, Korn) & general Linux/Unix
  • CI/CD tech stack (BitBucket, Jenkins, Artifactory)
  • This internship requires you to work 37.5 hours a week.

What's in it for you?

  • You'll be part of a diverse, collaborative, innovative, and high-performing team.
  • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
  • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
  • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

Please follow the steps below to successfully apply:

Step 1: Complete your PLUM Profile here and save it as a screenshot.

Step 2: Complete a short one-way video interview here.

Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready, click here to begin the assessment.

Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!

Note: The one-way video interview & codility assessment for all our Velocity Data Science, Data Analyst, Data Engineering for Summer 2026 Internship applications are the same. You only need to complete this one!

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