data engineer

? Are you passionate about building modern data platforms and turning scattered operational data into analytics the business actually trusts? We're hiring a Senior Data Engineer for a full-time permanent position with a fast-growing Canadian consumer goods distributor that is investing seriously in its data, analytics, and AI capabilities. In this role, you'll design, build, and scale the pipelines, warehouse, and lakehouse architecture that connect ERP, CRM, eCommerce, WMS, and point-of-sale systems into a single trusted source of truth. You'll set the standards for data quality, governance, and observability, partner with stakeholders across Sales, Operations, Supply Chain, and Finance, and lay the foundations that the organization's analytics and AI initiatives will run on. ? Who You Are You're an experienced data engineer who thrives on complex integration challenges. You enjoy designing pipelines, modeling data properly, and leaving every system faster and more reliable than you found it. You're collaborative and clear with technical and business audiences alike, and confident advising teams on the right approach. You take pride in building data the business can trust and in helping others grow their technical skills along the way. ? Work Type Location: Markham, ON Hybrid: 2-3 days per week in the office Vacancy Type: This position reflects a new vacancy Requirements ? What You?ll Do (Your Superpowers) Design, build, and maintain scalable ETL/ELT pipelines and data workflows that the business can rely on daily Design and evolve enterprise data warehouse and lakehouse architectures, applying dimensional modeling principles that hold up as data volume and business complexity grow Lead integration across ERP, CRM, eCommerce, warehouse management, and point-of-sale platforms, reconciling the structural and semantic differences between systems never designed to work together Develop both batch and real-time processing pipelines, serving day-to-day operational reporting alongside deeper analytical work Establish and uphold standards for data quality, governance, lineage, and security across the platform, so that trust in the numbers is engineered rather than assumed Tune database performance, query efficiency, and cloud consumption, balancing delivery speed against long-term infrastructure cost Implement monitoring, alerting, and observability so pipeline issues are identified and resolved before they surface in front of business users Work directly with analysts, data scientists, and stakeholders across Sales, Operations, Supply Chain, and Finance to translate open-ended business questions into well-defined data requirements Build the scalable, well-governed data foundations that the organization's AI and machine learning initiatives will depend on Raise engineering maturity through documentation, code review, version control discipline, and DevOps/DataOps practice Mentor junior engineers and help define how the data engineering function is structured as the team scales ? What We?re Looking For (Our Wishlist) 4+ years of progressive experience in data engineering or a closely related discipline, ideally within a fast-moving, commercially driven environment Advanced SQL proficiency, including the ability to write, debug, and tune complex queries against large and imperfect datasets Strong Python skills applied to data transformation, automation, and pipeline development Demonstrated experience building and orchestrating production-grade pipelines using modern transformation tooling such as dbt <l