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Engineer II - Supply Chain Tech - Data Engineering​/Power Bi

Job in Vancouver, BC, Canada
Listing for: lululemon
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 105800 - 138800 CAD Yearly CAD 105800.00 138800.00 YEAR
Job Description & How to Apply Below

Engineer II - Supply Chain Tech - Data Engineering/Power Bi

Lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we are in.

As a company, we focus on creating positive change to build a healthier, thriving future, including an equitable, inclusive, and growth‑focused environment for our people.

Core Responsibilities
  • Participate in Agile ceremonies and perform engineering assignments using existing procedures and best practices.
  • Conduct research to aid in product troubleshooting and optimization efforts.
  • Actively monitor key metrics, report on trends, and participate in our Engineering Community of Practice.
  • Contribute to engineering automation, management, or development of production‑level systems.
  • Perform reliability monitoring and support as needed to ensure products meet guest expectations.
Qualifications
  • Completed bachelor’s degree or diploma (or equivalent experience) in Computer Science, Software Engineering, or Software Architecture.
  • 3–5 years of experience providing Business Intelligence solutions related to Power BI, data warehousing, BI, and analytics engineering.
  • Creates interactive dashboards and data visualizations with Power BI to drive business insights.
  • Deploys cloud‑native solutions leveraging AWS infrastructure and services.
  • Working experience with cloud data platforms (e.g., Snowflake), ETL, and SQL optimization for large‑scale data transformations.
  • Contribute and develop Data Engineering pipelines to collect, transform, and integrate data from diverse sources for analytics and reporting.
Compensation & Benefits
  • Typical hiring range: $105,800–$138,800 annually; base pay based on market location and internal equity.
  • Eligible for competitive annual bonus program and permanent employee bonuses.
  • Extended health and dental benefits, mental health plans, paid time off, savings and retirement plan matching, generous employee discount, fitness & yoga classes, parenthood top‑up, extensive catalog of development course offerings, people networks, mentorship programs, and leadership series.
Workplace Arrangement

Work is performed onsite, minimum 4 days per week. In‑person collaboration and connection is important to our culture.

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