About the role

Design and develop robust data pipelines to extract, transform, and load data while ensuring data integrity and quality. Collaborate with stakeholders and architects to optimize data models and leverage enterprise information assets for decision-making.

What they look for

Data engineering Data pipelines SQL Data modeling Data quality Azure data factory Microsoft fabric Power bi Database management Data integration Cloud technologies Analytical skills Problem-solving Data governance Performance tuning Communication

Requirements

Requires a college diploma or university degree in computer science or related fields with at least 5 years of data engineering experience. Proficiency in SQL, Azure data technologies, and enterprise data platforms is essential.

Benefits

Fitness facility Onsite nurse Café Annual bonus plan Pension plan Parking allowance Flexible benefits plan Paid vacation Wellness allowance Paid personal care days Employee & family assistance program Paid volunteer day Donation matching program

Full description

As a Data Engineer, you are responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis. Your goal is to build and manage reliable, efficient data pipelines that support seamless data integration, transformation, and delivery for users across the enterprise. Your success is defined by creating robust, scalable data processes that ensure data is accurate, accessible, and consistently delivered to meet the needs of all data consumers.

What We Offer:

Work Environment – Work in our beautiful home office building with access to a fitness facility, onsite nurse, and a café
Competitive Compensation – Including an annual bonus plan, pension plan, and parking allowance
Flexible Benefits Plan – In effect from day one and offers three levels of coverage to select from to meet your unique, personal needs 
Paid Vacation – Plus an annual option to purchase additional vacation, too
Wellness Support – With an annual wellness allowance, paid personal care days and a 24/7 Employee & Family Assistance Program 
Opportunity to give back to some amazing causes in our community – Choose when and where to make an impact with a paid volunteer day, company volunteer opportunities, and a donation matching program

Your Responsibilities:

Design and develop data pipelines to extract, transform, and load data into appropriate storage systems
Collaborate with data architects and analysts to optimize models, algorithms, and governance practices
Integrate data from diverse sources such as databases, data warehouses, APIs, and external systems
Ensure data consistency and integrity through validation, cleaning, and quality checks
Transform raw data using cleansing, aggregation, filtering, and enrichment techniques
Optimize data pipelines and processing workflows for performance, scalability, and efficiency
Monitor and tune data systems, resolving performance bottlenecks through caching and indexing strategies
Take responsibility for leveraging enterprise information assets and analytics to support decision‑making and automation
Work with stakeholders to establish a vision for managing data as a business asset and governing data and algorithms used for analysis

Your Skills:

Strong analytical and problem‑solving abilities to design and optimize data pipelines
Proficiency in collaborating with cross‑functional teams to translate business needs into technical solutions
Ability to manage multiple priorities while maintaining attention to detail in data quality and governance
Adaptable to evolving technologies within cloud, data integration, and data management ecosystems
Effective communication skills to clearly convey data concepts to technical and non‑technical audiences
Commitment to continuous improvement, ensuring reliable, scalable, and high‑performing data systems

Your Experience:

College diploma or university degree in computer science, information systems, or computer engineering, with 5+ years of experience in Data Engineering or a similar role
Hands‑on experience across core data engineering disciplines, including data integration, modeling, optimization, data quality, and working with data lakes, data warehouses, and enterprise data platforms such as Microsoft Fabric and Purview
Proficiency with modern data technologies, including SQL, database platforms (Oracle, MS SQL, DB2, Sybase), Azure Data Factory, Dataflow Gen2, Microsoft Azure, and visualization tools like Power BI

The expected salary range for this position is $66,267 - $87,804. Placement within the range will be based on relevant experience, qualifications and skills.

Irving Oil is committed to supporting a diverse and inclusive work environment. We thrive on the good energy that’s created when our people from different backgrounds, identities, cultures and experiences share their unique perspectives. Diversity is key to our success and inclusion is everyone’s responsibility.

Job Requirements - Work Experience

Information Technology

Job Requirements - Education

Diploma / Certification: Information Technology