Requisition ID: 234792
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Velocity - Data Engineer Internship/Co-Op – Winter 2026
Term: January 2026 – April 2026
Work Hours/Week: 37.5
Application Deadline: 9/29/25

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

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.