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Application Developer, Analytics (18-month term)

Pollard Banknote Limited

We’re looking for a collaborative and solutions-oriented Application Developer, Analytics to join our Information Technology Development team for an 18-month term position. This is a remote role, with preference given to candidates located in Winnipeg.


This is an exciting opportunity to take on a term-based role focused on building high-impact backend analytics tools and infrastructure that support enterprise-wide decision-making. You'll join a small, skilled team working in a flexible environment, contributing to key data projects while gaining experience with modern cloud technologies and analytics platforms.

Who We Are

At Pollard Banknote Limited, we've been a leader in instant lottery ticket manufacturing and services for over a century, delivering innovation and quality. Our diverse, talented team drives creativity and collaboration. Alongside our traditional products, we lead in digital lottery solutions, enhancing player engagement with cutting-edge technology. Join us in impacting millions of lives with exciting lottery experiences and help shape the future of gaming!

What We Offer

  • Competitive compensation
  • Profit sharing program – every role plays a part in our success!
  • Health & Extended Benefits
  • Opportunities for professional development
  • On-Site Cafeteria & Outdoor Patio
  • On Site Gym
  • A variety of committee-driven employee engagement activities
  • Free Parking
  • Remote Work Environment

What You'll Do

  • Design, develop, and maintain robust backend data applications and analytics dashboards that support enterprise-wide decision-making
  • Build and optimize ETL pipelines and data workflows using tools such as Informatica, AWS Glue, and Azure Data Factory
  • Develop and maintain cloud-based data infrastructure, including
    • Amazon Web Services (AWS): Redshift, Aurora, S3, Lambda, Glue and Quicksight for scalable data warehousing, transformation and visualization
    • Microsoft Azure: Data Factory, Azure Functions, Synapse Analytics and Power BI for orchestrating data movement transformation and reporting
  • Collaborate with cross-functional teams to gather requirements and deliver secure, scalable, and high-performance data solutions
  • Collaborate with internal teams to gather requirements and deliver scalable solutions
  • Implement data modeling best practices and maintain data warehouse structures to support analytics and reporting needs
  • Lead small-scale data projects, ensuring timely delivery and alignment with business goals
  • Translate complex datasets into actionable insights through interactive dashboards and visualizations using tools like Power BI and AWS QuickSight
  • Ensure data quality, integrity, and availability across systems through proactive monitoring and automation

Who You Are

  • A self-starter who takes initiative and enjoys solving problems independently
  • Comfortable working in a remote or hybrid environment
  • Detail-oriented and organized, with strong communication skills
  • Eager to learn, collaborate, and contribute to cross-functional project success

What You'll Bring

  • 3–5 years of experience in data engineering, backend development, or analytics application development
  • Strong proficiency in ETL development, SQL, and relational databases (e.g., MySQL, Aurora)
  • Experience with cloud-based data platforms, especially AWS (Redshift, S3, Lambda, QuickSight)
  • Familiarity with data modeling, data warehousing, and performance tuning
  • Exposure to Agile development and sprint-based workflows
  • Bonus: Experience with Microsoft Azure data services (e.g., Azure Data Factory, Azure Functions, Azure Synapse Analytics, Power BI)
  • Bachelor’s degree in Computer Science or a related field is an asset

Pollard Banknote Limited is an equal opportunity employer, committed to promoting and maintaining a diverse and inclusive workforce. Reasonable accommodations are available upon request.

Employment is contingent upon a satisfactory response from a Criminal Record Search.