Cloud Data Developer

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!