IS Data Engineering Student

Canadian Natural • Calgary, AB

4d • Onsite

About The Position

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.

Requirements

• Currently enrolled in your 2nd, 3rd, or 4th year of an Information Systems diploma/degree program
• Eagerness to learn and grow in cloud-based data technologies, with exposure or interest in tools such as Microsoft Azure, Databricks, Data Lakes, Azure Data Factory, and KNIME
• Basic experience or strong willingness to develop skills in Python, SQL, and PySpark, along with an understanding of MLOps, DevOps, and CI/CD pipelines as part of modern data engineering practices
• Strong communicator with 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
• All candidates applying to Canadian Natural must have legal authorization to work in Canada with no restrictions.

Responsibilities

• 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

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Associate degree