data engineer

<p>What We do: iQmetrix is a global provider of Interconnected Commerce software solutions for telecom retail.</p><p>Interconnected Commerce is an AI-native telecom commerce platform that acts as a system of intelligence.</p><p>It replaces fragmented legacy stacks with a modern, modular operating layer, connecting telcos, retailers, and OEMs into one flow across channels and markets.</p><p>The result is less complexity, lower cost, and the speed to move ahead.</p><p>For 26 years, we’ve been passionate about helping the leading brands in telecom to grow by providing best-in-class software, services, and expertise that enables them to adapt and thrive. Our solutions power $17BN in sales annually, handling nearly 53 million invoices and more than 28 million activations, and are used by more than 370,000 telecom retail professionals across almost 1,000 clients.</p><p>iQmetrix is a privately held software-as-a-service (SaaS) company with employees in Canada, the U.S., India, and Europe.</p><p>For more information, please visit 

www.iqmetrix.com .</p><p>How We Do it: 

We are on a self-management journey.</p><p>As we work to move away from the restrictions of hierarchy, teams are building collaborative peer-based networks where there are no bosses.</p><p>Decisions are meant to be distributed to the people who are best able to make the decisions which means more freedom for individuals to contribute at their highest levels.</p><p>We are purpose-driven, helping individuals connect to the meaning in their day-to-day work.</p><p>Additionally, we are currently on the road to building a diverse and inclusive environment.</p><p>Working at iQmetrix means always looking at ways to be better.</p><p>Reports To: Technical Lead Salary: Starting at $110,000 CAD, commensurate with

.</p><p>About the Team: The Data &

Analytics team is moving from a legacy reporting model to a modern data platform organization, one that powers embedded analytics, operational data products, and AI/ML capabilities across our SaaS point-of-sale (POS) and retail management system (RMS) ecosystem.</p><p>The team builds on cloud-native lakehouse infrastructure to create trusted, reusable, and scalable data foundations that support internal decision-making, customer-facing product

s, and emerging AI use cases.</p><p>Pipelines, data products, and platform patterns are all in scope.</li><li> 

A core part of the mission is reducing friction across the data lifecycle: onboarding, modeling, governance, exposure, and application.</p><p>That means building high-quality lakehouse pipelines, enforcing rigorous data quality standards, and creating engineering patterns that let analytics, product, engineering, and AI initiatives move faster with more confidence.</p><p>

: The Senior Data Engineer will design, build, and improve the data platform capabilities that power analytics, embedded reporting, operational data products, and AI-ready datasets.</li><li> 

This role goes beyond pipeline implementation.</p><p>It includes data modeling, platform design, performance tuning, governance, observability, and the creation of reusable engineering patterns that support scalable and trustworthy data products.</li><li> 

The ideal candidate is a hands-on engineer with strong production

in Python, SQL, and distributed compute environments.</p><p>They should have deep familiarity with modern lakehouse patterns and layered data product design, and should be comfortable providing technical leadership through mentoring, design reviews, code reviews, and platform stewardship.</p><p>What You'll Be Doing:  

Design, build, and optimize scalable data pipelines and curated data products using Python, SQL, and distributed compute - with a strong understanding of execution models, partitioning, and performance tuning.</p><p>Develop and maintain data models acro