IS Data Engineering Student

Are you a student looking for an exciting opportunity that is full of meaningful, diverse, and ambitious assignments? Join Canadian Natural, where we strive to provide opportunities based on your abilities, helping you to contribute in a meaningful way and apply your academic experience to challenging and rewarding projects!

Are you passionate about data and take pride in working with data to generate value? Are you ready to take your career to the next level? Canadian Natural is seeking a Data Engineering Student. As a Data Engineering Student, you will work with Data Analysts, Business Systems Analysts and industry experts to deliver fit-for-purpose data pipelines and data products for analytics and data science. You will develop modern data pipelines that extract data from multiple data sources, transform, combine, validate, and load it into a data lake, data warehouse, or application for further analysis and visualization.

Job location: Calgary, AB – Head Office

Shift schedule: 5 days on, 2 days off, 8 hours/day (Monday – Friday)

Term lengths: 4, 8, & 12 months

Multiple term starts: January 2027 and May 2027

Safety sensitive position: No

Build and maintain robust ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) to support enterprise data needs

Develop and manage data lakehouse solutions, ensuring efficient data storage, retrieval, and modeling to support analytics and reporting

Fine-tune performance for queries and data pipelines, ensuring the rapid delivery of critical data

Partner with data scientists, analysts, and business stakeholders to understand requirements and deliver data solutions that meet business objectives

Stay current with Databricks features and industry best practices

Recommend and implement improvements to enhance data engineering workflows and capabilities