Our client is Canada''s largest retailer.

They are looking for a Senior Data Engineer to design and build scalable data pipelines, reporting solutions, and analytics capabilities that power media campaign reporting and performance insights.

This Retail Media Platform team is responsible for building a best-in-class AdTech platform that enables internal and external users to create, manage, and report on advertising campaigns.

Duration: 6 Months, to start Location: Toronto (2 days/week onsite) Responsibilities: Design, build, and maintain scalable data pipelines that support reporting and analytics across the Retail Media Platform Partner with stakeholders to understand business requirements and develop solutions that support various data consumers Build and maintain robust data models and semantic layers to improve data accessibility and reporting consistency Automate reporting pipelines and contribute to the development of real-time dashboards and analytics solutions Develop data pipelines using Python, Scala, Java, Airflow, DBT, Dataproc,



and other GCP technologies Implement testing frameworks and data validation strategies to ensure reporting accuracy and data integrity Optimize SQL queries and data processing performance throughout the data ecosystem Support reporting and analytics initiatives across Product, Engineering, Merchandising, Marketing, Operations, and other business teams Must Have Skills: 7+ years of experience as a Data Engineer , with robust experience working with Google Cloud Platform (GCP) Strong programming experience with Python, Scala/Java, and SQL Hands-on experience with Airflow, DBT, and Dataproc Experience with Big

Query for data warehousing and analytics Experience working with non-relational databases (Bigtable and Druid) Ability to write complex SQL queries and perform advanced data analysis Nice to Haves: Advertising, Media, or AdTech industry experience Experience building real-time streaming and reporting solutions

📌 Senior Data Engineer - Retail Media (AdTech) (Toronto)
🏢 S.i. Systems
📍 Toronto