Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country’s largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well®.

At Loblaw Companies Limited, we succeed through collaboration and commitment and set a high bar for ourselves and those around us. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong.

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, BigQuery, and Google Cloud Storage, as well as Kubernetes, preferably GKE, Docker, Helm, and CI/CD pipelines, preferably GitLab CI/CD.
- Experience developing, deploying, or supporting Apache Airflow workflows and troubleshooting workflow orchestration issues.
- Familiarity with generative AI concepts, including large language models (LLMs), tool calling, and MCP, and an understanding of integrating AI capabilities with enterprise data platforms.
- Robust software engineering fundamentals, including modular design, automated testing, code reviews, monitoring, and technical documentation.
- Understanding of relational and NoSQL databases, messaging systems, and reliable data processing patterns, including retries, idempotency, and fault tolerance.
- Ability to apply software engineering and site reliability practices to automate operations and improve platform availability.

Additional Assets

- Exposure to metadata management, data cataloguing, real-time analytics, distributed data processing, or infrastructure as code.
- Hands-on experience with prompt engineering, retrieval-augmented generation (RAG), or evaluating AI-generated outputs.
- Exposure to Vertex AI, Google Agent Development Kit (ADK), LangChain, or LangGraph, including integrating AI agents with enterprise APIs and data platforms.

What Loblaw Offers You

We offer flexibility and balance, and an environment that sets you up for success

📌 Data Engineer II (Brampton)
🏢 Loblaw Companies
📍 Brampton