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The Opportunity:
At Canadian Natural, we are proud to be a leader in Canada’s energy industry. Join us and help drive innovation and long-term value through integrity, teamwork, and a passion for doing things right.
Make your mark while you grow your career! Canadian Natural is looking for a Data Engineer to support and enhance our enterprise Databricks Lakehouse platform. In this role, you will contribute to the development and maintenance of scalable data pipelines and curated datasets used for analytics, reporting, and data science.
You will work closely with Data Analysts, Data Scientists, Business Systems Analysts, and platform teams to help deliver reliable, well-governed, and cost-effective data solutions. This position is part of the Enterprise Data & Analytics team and supports CNRL’s journey toward becoming a data-driven organization.
Job location: Calgary, Alberta
Shift schedule: 5 x 2, 8-hour shifts *
Safety sensitive position: No
Application deadline: June 12, 2026
* Occasional on-call support will be required
Key Accountabilities:
Build and maintain data pipelines on Databricks using PySpark, Spark, and Delta Lake
Develop ETL/ELT workflows to ingest, transform, and prepare data for analytics and reporting while supporting the creation of curated datasets for business intelligence and data science use cases
Optimize pipelines for performance, reliability, and cost efficiency, and implement basic data quality checks and monitoring processes
Work with Unity Catalog and follow data governance and access control requirements, and contribute to CI/CD processes for deploying data pipelines
Support testing, deployment, and monitoring of data solutions in production
Collaborate with cross-functional teams to understand data requirements and deliver effective solutions
What You Bring to the Role:
Post-secondary degree in Computer Science, Software Engineering or a related field of study or equivalent experience in data integration or data engineering
3+ years of experience developing cost-optimized, scalable and configurable, ETL/ELT data pipeline, data integration
3+ years of experience with Python, SQL, and PySpark, as well as MLOps, DevOps/CI/CD pipelines, performant data stores and operational REST APIs
Experience with cloud environments and tools including MS Azure, AWS, Databricks, Synapse Analytics, DQ SQL, Data Lakes, Azure Data Factory, HVR, Magnotix, Knime, SQL, Scala
Preferred Qualifications:
Experience with MLOps workflows and deploying ML workloads in Databricks
Familiarity with data integration tools such as HVR, Azure Data Factory, or similar
Experience in regulated, enterprise environments
Exposure to streaming architectures (e.g., Kafka, Structured Streaming)
May be eligible for relocation pursuant to Canadian Natural’s Relocation Policy
100% Employer paid extended Health, Dental and Vision Benefits
Health & Wellness Spending Account
Multiple volunteer opportunities within the community
Employee & Family Assistance Program
Access to online learning platforms for continuous learning and development
Paid vacation and time off during Christmas week and summer Fridays
Check out ourCOMPENSATION & BENEFITS to learn more about what we have to offer!
We are proud to be ranked as one of Forbes' Canada's Best Employers in 2025 and 2026.
We invest in your career through offering a culture that focuses on developing people, working together and doing it right, with fun and integrity.
Industry Leader: We commenced business in 1989 with a handful of employees and modest production, but today we employ more than 10,000 people and produce over 1 million BOE/d.
Community Investment: Social responsibility is a critical element of our commitment to responsible operations and part of our success and pride as a Company. We are committed to investing in the communities where we live and work, creating shared value along the way.
Compensation and Benefits: We strive to share Company success with all employees through a comprehensive total compensation package.
Our People, Our Stories: Our stories demonstrate the strong culture that exists at Canadian Natural – one that focuses on developing people, working together and doing it right, with fun and integrity.
Check out some of our Employee Testimonials!
All candidates applying to Canadian Natural must have legal authorization to work in Canada with no restrictions.
While we appreciate all applications we receive, kindly note only candidates under consideration will be contacted.