Data Engineer II

L’utilisation du masculin à pour but d’alléger le texte Venez faire votre différence dans les communautés à travers le Canada, où l'authentic ité, la confiance et l'établissement de liens sont valorisés - alors que nous façonnons l'avenir du commerce de détail au Canada, ensemble. Notre position unique en tant que l'un des plus grands employeurs du pays, celle associée à notre engagement à avoir un impact positif sur la vie de tous les Canadiens, viens offrir à nos collègues une gamme d'opportunités et d'expériences pour aider les Canadiens à Vivre Bien, Vivre Pleinement.

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Data Engineer II   Loblaw Technology & Analytics | 1 President’s Choice Circle, Brampton, ON
Does working with some of Canada’s most talented minds in innovation supporting retail, digital consumer solutions and analytical platforms excite you? Loblaw Technology powers some of Canada’s most game-changing retail solutions, giving our customers the ability to live their lives well.
Come work with a team that values diverse ideas, fosters a culture of inclusion and develops our talent from within. Loblaw Technology gives you the chance to excel and helps you to strive for success in a big way. Keep reading to learn more!
Loblaw Technology & Analytics is looking for a Data Engineer II to join the Data & AI platform team. You will help design, build, and maintain the cloud services, workflow orchestration, and deployment pipelines that support critical business operations and analytics. Working with engineering, site reliability engineering (SRE), security, and business teams, you will improve platform reliability and support new capabilities, including AI-enabled data discovery and development.
What You’ll Do    Support the development, integration, deployment, and ongoing operation of generative AI agents and Model Context Protocol (MCP) integrations to simplify data discovery, SQL development, and pipeline creation.
Design, build, maintain, and optimize data platform services, data pipelines, and Google Cloud Platform (GCP) infrastructure to support reliable data processing and business insights.
Maintain and improve Google Kubernetes Engine (GKE) application configurations and Helm deployments for workflow orchestration, metadata management, and other data platform services.
Manage deployment automation, CI/CD pipelines, container images, and application upgrades to enable reliable releases of critical data platform services.
Monitor and troubleshoot application, pipeline, and infrastructure issues; participate in incident response, perform root cause analysis, and implement fixes that reduce recurring failures.
Collaborate with infrastructure, site reliability engineering, security, and business teams to deliver platform enhancements and support application onboarding and migrations.
Automate operational tasks and evaluate new technologies through proofs of concept to improve platform performance, scalability, and reliability.

What You’ll Bring    3+ years of professional experience in data engineering, software engineering, or cloud platform engineering, including supporting production applications.

Experience with Python, SQL, Git, cloud platforms and data services, preferably GCP, Big Query, and Google Cloud Storage, as well as Kubernetes, preferably GKE, Docker, Helm, and CI/CD pipelines, preferably Git Lab CI/CD.
Experience developing, deploying, or supporting Apache Airflow workflows and troubleshooting workflow…