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:
- P ost-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)
What We Offer:
- Competitive salary, stock options, company matched stock savings plan, annual bonuses
- 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 our COMPENSATION & BENEFITS to learn more about what we have to offer!
