Senior Data Engineer

Role: Sr Data Engineer

Location: North York, ON (Hybrid – 3 days onsite)

Rate: $40-42/hr T4, $50/hr INC

12 month contract

Your New Company

Join a leading Canadian retail organization that is redefining the way customers shop through an interconnected, data-driven experience. With a strong entrepreneurial culture backed by the scale of a global enterprise, this organization is investing heavily in advanced analytics and data engineering to drive innovation at scale. You’ll be part of a high-performing Analytics team that values curiosity, creativity, and data-backed decision-making.

Your New Role

As a Senior Data Engineer, you will play a key role in designing and building scalable data pipelines that organize, transform, and optimize billions of rows of data to support analytics and business decision-making.

Working within a modern GCP ecosystem, you will leverage technologies such as BigQuery and Python to develop efficient data solutions that power dashboards, reporting, and advanced analytics. You’ll partner closely with business stakeholders and data analysts, translating requirements into robust data models, tables, and views that ensure accuracy, performance, and usability.

This is a highly hands-on role within a fast-paced environment where your work will directly impact customer experience, operational efficiency, and long-term strategy. You’ll also contribute to advancing data quality, governance, and automation practices across the organization.

What You’ll Need to Succeed

Must-Haves:

• Strong experience designing and building scalable data pipelines and ETL processes
• Advanced SQL and Python expertise for data transformation and engineering
• Hands-on experience with Google BigQuery and GCP (Dataflow, Pub/Sub)
• Proven ability to build and optimize data models, tables, and views for analytics use cases
• Experience working with large-scale structured and unstructured datasets
• Strong stakeholder engagement skills, with the ability to translate business requirements into technical solutions

Nice-to-Haves:

• Experience with PySpark, Airflow, or modern orchestration frameworks
• Exposure to Vertex AI or applied AI/ML use cases
• Experience with Iceberg, StarRocks, or modern data lakehouse architectures
• Familiarity with clickstream data and customer analytics
• Retail or eCommerce domain experience

What You’ll Get in Return

• Opportunity to work on high-impact, large-scale data initiatives within a top-tier retail environment
• Exposure to cutting-edge data technologies and modern cloud architecture
• A collaborative, innovation-driven culture with strong leadership support
• Competitive compensation package and long-term career growth opportunities
• The chance to shape data strategy and influence key business decisions

What You Need to Do Now

If you’re a Data Engineer looking to work on meaningful, large-scale data challenges and drive innovation in a data-first organization, apply now or reach out directly for a confidential discussion.