freehire launches on Product Hunt on 26 August.

Follow →

IS Data Engineering Student

Summary

A student builds and maintains data pipelines (ETL/ELT) using Databricks (PySpark, SQL, Delta Lake) to extract, transform, and load data for analytics and reporting, collaborating with data scientists and analysts to deliver scalable solutions.

The Opportunity:


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


Key Accountabilities:



  • 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


What You Bring to the Role:



  • Currently enrolled in your 2nd, 3rd, or 4th year of an Information Systems diploma/degree program

  • Eagerness to learn and growin cloud-based data technologies, with exposure or interest in tools such asMicrosoft Azure, Databricks, Data Lakes, Azure Data Factory, and KNIME

  • Basic experience or strong willingness to develop skillsinPython, SQL, and PySpark, along with an understanding ofMLOps, DevOps, and CI/CD pipelinesas part of modern data engineering practices

  • Strong communicatorwith the ability to clearly convey technical concepts to both technical and non-technical audiences

  • Team-oriented mindset, with a demonstrated willingness to collaborate, share knowledge, and contribute to collective success


What We Offer:



  • Competitive salary

  • Paid time off during Christmas week and summer Fridays in July and August

  • Multiple volunteer opportunities within the community

  • Students may be eligible for relocation assistance pursuant to Canadian Natural's Student Relocation Policy (Students will be responsible for finding their own accommodations during the work term)

  • Opportunities to partake in initiatives such as the Intern Social Committee


Check out our COMPENSATION & BENEFITS overview to learn more about we have to offer!


All candidates applying to Canadian Natural must have legal authorization to work in Canada with no restrictions.


We wish to thank all applicants for their interest and effort in applying for the position; however, only candidates selected for interviews will be contacted. This posting will close once a successful candidate has been selected.

See also

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available