Responsibilities Work with stakeholders to develop solutions that support various data consumers
Help automating reporting pipelines, and build real-time streaming dashboard
Build and implement robust data models and semantic layers
Develop pipelines using Java, Scala, Python, Data proc, DBT, Airflow, and other GCP technologies
Build testing and data validations strategies to ensure reporting integrity
Optimize data queries in different parts of the pipeline
Support reporting and analytics needs from all areas of the business. For example: Developers, Product Managers, Product Designers, Merchandizers, Marketers, and Operations Analysts
Help us in our mission to be a hypotheses-driven product development organization which means data is at the center of everything we do
Requirements BA/BS in math, computer science, engineering, or related field
5+ yrs of experience as a data engineer and proven ownership of large-scale pipelines / systems
Own end-to-end design of data pipelines
Drive architecture decisions across ingestion, processing and serving
Lead design reviews and mentor other engineers
Hands‑on experience with non-relational databases such as Bigtable and Druid, as well as experience with BigQuery for data warehousing and analytics.
Experience designing analytics/serving layers (Druid or similar) and working with large‑scale aggregations, query performance, cost trade‑offs
Ability to write complex SQL queries and perform analysis




Experience in data processing using Python, Scala or Java
Experience with large‑scale data (TBs+)
Working experience with Git
Exposure to cloud technology (GCP, AWS, Azure)
Understanding of data warehouse concept
Strong oral and written communication skills
Solid stakeholder management skills
Proven team player that will work well in a dynamic and fast‑paced environment
Experience working in an agile environment
Experience in advertising is a plus
Solid desire to learn and to push the boundaries of what can be done to better empower our business with data
Requests for accommodation due to a disability (which may be visible or invisible, temporary, or permanent) can be made at any stage of application and employment.
We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.
Candidate criminal background check requirement: Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.
Hiring Range / Échelle salariale à l’embauche :$120,000.00 - $154,000.00 / 120.000,00$ - 154.000,00$ (per year / par an). A candidate’s experience and knowledge as well as the geographical region in which the position is located may be factored into the pay a candidate receives for this position.

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📌 Senior Data Engineer (Ontario)
🏢 Loblaw Companies
📍 Ontario