Data Engineer II

Loblaw; Brampton; Presencial; CAD 100.000 - 132.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Work Perks Program

On-site GoodLife Fitness

Tuition Reimbursement & Online Learn.

Pension & Benefits

Paid Vacation

Descripción de la vacante

Loblaw Technology & Analytics in Brampton is seeking a Data Engineer II to design, build, and maintain cloud data services and pipelines. You’ll collaborate with SRE, security, and business teams to enhance platform reliability and enable new capabilities, including AI-enabled data discovery.

Join a team that values diverse ideas, fosters growth, and supports scalable data solutions across retail and analytics platforms.

Formación

• 3+ years of professional experience in data engineering, software engineering, or cloud platform engineering.
• Experience with Python, SQL, Git, cloud platforms and data services (preferably GCP), Kubernetes (GKE), Docker, Helm, and CI/CD pipelines (GitLab CI/CD).
• Experience developing, deploying, or supporting Apache Airflow workflows.
• Familiarity with generative AI concepts (LLMs, MCP) and integrating AI with enterprise data platforms.
• Strong software engineering fundamentals: modular design, automated testing, code reviews, monitoring and documentation.
• Understanding of relational and NoSQL databases, messaging systems, and reliable data processing patterns.
• Ability to automate operations and improve platform availability.

Responsabilidades

• Support development, integration, deployment, and operation of generative AI agents and MCP integrations.
• Design, build, and optimize data platform services and pipelines on GCP.
• Maintain and improve GKE configurations and Helm deployments for orchestration and metadata management.
• Manage deployment automation, CI/CD pipelines, container images, and upgrades.
• Monitor and troubleshoot issues; participate in incident response and RCA.
• Collaborate with infra, SRE, security and business teams to deliver platform enhancements.
• Automate operations and evaluate new technologies via proofs of concept.

Conocimientos

Python

SQL

Git

GCP

BigQuery

Kubernetes (GKE)

Docker

Helm

CI/CD (GitLab)

Airflow

AI concepts (MCP/LLMs)

Herramientas

GKE

Docker

Helm

GitLab CI/CD

BigQuery

Google Cloud Storage

Descripción del empleo

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.
• Strong 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 no matter where your workspace is located.

Here, you will find a great team to help you achieve your goals as you help us achieve ours! Work in our fast-paced, exciting Technology environment, helping our stores, colleagues and customers every day.

Loblaw colleagues also enjoy:

• Work Perks Program
• On-site GoodLife Fitness, Basketball & Volleyball courts, Ice Rink, Groceries delivered to work via PC Express, Dry Cleaning services (1PCC Office)
• Tuition Reimbursement & Online Learning
• Pension & Benefits
• Paid Vacation

Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. At Loblaw, we celebrate diversity and strive to build a culture of inclusion where differences are embraced, valued, and supported. We are committed to being an equal opportunity employer and encourage people from all backgrounds and identities to apply to our jobs. Accommodation in the recruitment, assessment, and hiring process is available upon request for applicants with disabilities.

We thank all candidates for their interest, but please note that only those candidates who meet the minimum requirements for the position will be contacted.

We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. 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.

Please Note: 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 :$100,000.00 - $132,000.00 / 100.000,00$ - 132.000,00$ (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. This posting is for an existing vacancy. The Company uses artificial intelligence for the purpose of screening, assessing and/or selecting applicants for this position. / L’expérience et les connaissances d’un candidat ainsi que la région géographique dans laquelle le poste est situé peuvent être prises en compte dans la rémunération qu’un candidat reçoit pour ce poste. Cette offre d’emploi concerne un poste vacant existant. L’entreprise utilise l’intelligence artificielle dans le but de filtrer, d’évaluer et/ou de sélectionner les candidats à ce poste.