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Senior Data Engineer - Revenue Analytics

Job in Calgary, Alberta, D3J, Canada
Listing for: Westjet-Airline
Full Time position
Listed on 2026-08-25
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 150000 CAD Yearly CAD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

Job Description

Posted Thursday, August 20, 2026 at 6:00 a.m. | Expires Thursday, September 3, 2026 at 5:59 a.m.

This position requires in-person collaboration up to five days a week. This arrangement is subject to change based on business requirements.

Why West Jet:

Since our story took off in 1996, West Jet has strived to enrich the lives of everyone in our world; a career with us is no exception. We’re proud to be one of Canada’s most admired and respected corporate cultures and continuously aim for the highest standards of service and success.

Join us, this is where your career story takes off. Overview of role:

The Revenue Analytics team provides business intelligence analytics and reporting solutions for the Revenue Management & Pricing department within West Jet. Transforming data into meaningful information is an art form that requires the combination of technical skills and business acumen. In Revenue Analytics, we approach information from the perspective of the business user, creating and developing accurate and reliable solutions that speak to both Executive and front-line audiences.

The Revenue Analytics team is rapidly evolving the intelligent landscape of West Jet – implementing creative ideas to capture efficiencies and promote cutting edge analytics.

Reporting to the Manager of Revenue Analytics, The Senior Data Engineer will provide technical ownership and advisory leadership for data capabilities, ensuring solutions are scalable, reliable, and aligned with future business needs. The role will partner closely with stakeholders to understand business requirements, translate them into effective technical solutions, and provide guidance on architecture, data quality, modernization, and technical trade-offs. You will help build a grassroots analytics function and actively participate in the conceptualization, development, integration, and troubleshooting of new and existing analyses, tools, and reports - ensuring these solutions land with both Executive audiences and front-line Revenue Management & Pricing Analysts.

You are an integral part of the growth of our airline as you ensure a consistent understanding, communication of, and approach to meeting strategic goals.

  • Lead data architecture, modeling, and integration solutions that support current and future business needs
  • Lead data projects from planning through delivery, working closely with stakeholders to manage priorities, dependencies, and timelines
  • Design and develop scalable, reliable cloud-based data solutions and pipelines using established data engineering standards and practices
  • Develop and maintain data quality, validation, reconciliation, and monitoring processes to ensure data accuracy and reliability
  • Optimize data solutions and pipelines for performance, scalability, and cost efficiency
  • Troubleshoot complex data issues, identify root causes, and implement sustainable solutions
  • Provide ongoing operational support for critical data solutions, ensuring timely resolution of issues and minimal disruption to business operations
  • Apply data governance, security, and access standards to ensure data is managed appropriately and responsibly
  • Develop and maintain comprehensive technical documentation for data solutions, pipelines, architecture, processes, and operational procedures
  • Lead workshops, presentations, and training to share technical expertise and strengthen data engineering capabilities across the team
  • Provide technical guidance and mentorship to team members, promoting consistent engineering practices and knowledge sharing
  • Communicate complex technical concepts clearly and translate business needs into practical data solutions
  • Build strong relationships with stakeholders and effectively communicate technical considerations, risks, and trade-offs
  • Ensure data solutions are secure, reliable, maintainable, and aligned with enterprise standards
Experience and qualifications:
  • Degree in Computer Science, Engineering, Information Systems, Information Security, or a related field, with 8+ years of relevant experience preferred, or an equivalent combination of education, training, and experience
  • 6+ years of experience working in large-scale…
Position Requirements
10+ Years work experience
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