Data Engineer

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