Senior Analytics Engineer
LightspeedToronto, Ontario, CanadaPosted 3 March 2026
Job Description
<p>Lightspeed Financial Services is growing quickly and we are looking for a talented and passionate Senior Analytics Engineer to join our Financial Services Data team. This is a great opportunity to be a part of an early team and help define the data landscape for very fast-growing, global Financial Services products.</p>
<p>If you have worked on data pipelines, have great communication skills, are proficient at data modelling, and have enabled teams to gather both predictive and historical insights, you might be a great fit for this role! This role also involves collaborating with multiple functions across Lightspeed, including Application Engineering, Product, Operations, Risk and Finance, among others.</p>
<p><strong>What you’ll be responsible for: </strong></p>
<ul>
<li>Build Scalable Data Pipelines: Design, develop, and optimize robust data pipelines, making data easily accessible for visualization and machine learning applications</li>
<li>Cleanse and transform raw data into business logic to help stakeholders build reports and data models</li>
<li>Ensure the right data gets to the right people at the right time</li>
<li>Collaborate with the Central Data Team to build data pipelines in accordance with shared best practices and design, and feed proper data models for usage</li>
<li>Act as a champion for data quality and usability across the Financial Services organization</li>
<li>Ensure availability, quality and searchability of data and documentation</li>
<li>Write, clean and maintainable queries and scripts that are highly performing, well-structured and easy to understand and extend</li>
<li>Automate testing of data models and add appropriate validations to ensure quality</li>
<li>Develop and maintain scalable dashboards and reports using Looker</li>
<li>Ensure data accuracy, report performance, and a seamless user experience while adhering to BI governance standards</li>
<li>Troubleshoot and resolve reporting or data-related issues and contribute to process improvements</li>
<li>Help define and improve our internal standards for data models and infrastructure</li>
<li>Help define the data vision and roadmap for a new and fast-growing product</li>
<li>Coach/Mentor junior AE's to help with their upskilling and foster a learning environment</li>
</ul>
<p><strong>What you will bring to the team:</strong></p>
<ul>
<li>Proficient with SQL and Python (or equivalent language)</li>
<li>Experience with MPP data warehouse (we use BigQuery)</li>
<li>Experience with Kimball/Star-schema data modelling implementation</li>
<li>Proficiency in performing data profiling, data mapping and data quality validation</li>
<li>Experience with data orchestrator</li>
<li>Solid understanding of industry standards for data warehousing and data modelling/ DBT/Dataform</li>
<li>Proficiency with data environments (we use GCP) as well as containerization solutions</li>
<li>Proficiency in source control, CI/CD and automated testing</li>
<li>A security mindset with the ability to work with compliance protocols (SOX, GDPR)</li>
<li>Excellent communication skills and ability to communicate with technical and non-technical stakeholders</li>
<li>Excellent problem-solving skills</li>
<li>Ability to work independently and in teams</li>
<li>Self-motivated and great at taking initiative</li>
</ul>
<p><strong>Some additional things that would be a bonus</strong>:</p>
<ul>
<li>Experience in the Payments or Financial Services domain</li>
<li>Experience in working with SaaS solutions</li>
<li>Solid knowledge of cloud services (AWS and GCP in particular)</li>
</ul>
<p><strong>What’s in it for you:</strong></p>
<ul>
<li>Join a growing team and help us move to the next level</li>
<li>Amazing benefits perks, including equity for all Lightspeeders</li>
<li>Constant development of both your skill-set and business acumen with limitless growth opportunities</li>
<li>Lots of autonomy, flexible work culture</li>
<li>Innovation time to explore and learn at work</li>
<li>Sha ... (truncated, view full listing at source)
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