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Health Care Support Worker - General Outpatient Department
NHS Ayrshire & Arran
NS · Cape Breton, NS
- Full-time
We are currently seeking to recruit two part-time Band 3 Health Care Support Workers to join the Outpatient Service. Outpatients is a dynamic and diverse environment that plays an important…
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If you require accommodation during the application process, please reach out to our aSKHR team. SickKids can provide access and inclusion supports to eligible candidates to support their…
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Loblaw

Data Engineer II

Brampton, ON, Canada

$100,000.00 - $132,000.00 / 100.000,00$ - 132.000,00$ (per year / par an) · Full-time

Apply on carrieres.loblaw.ca About employer

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Job details

Pay: $100,000.00 - $132,000.00 / 100.000,00$ - 132.000,00$ (per year / par an)
Job type: Full-time
Experience: 3+ years of professional experience in data engineering, software engineering, or cloud platform engineering, including supporting production applications.
Posting language: English · French
Posted: Oct 23, 2026

Original job description

English section of this bilingual listing.

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

If you’re up to the challenge, then we would love to hear from you. Apply today and get the process started.

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.

www.Loblaw.ca/careers

Read the full bilingual original

L’utilisation du masculin à pour but d’alléger le texte

Venez faire votre différence dans les communautés à travers le Canada, où l'authenticité, 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.

Chez Les Compagnies Loblaw Limitée, nous réussissons grâce à la collaboration, à l'engagement et nous plaçons la barre haute pour nous-mêmes et ceux qui nous entourent. Que vous débutiez votre carrière, que vous réintégriez le marché du travail ou que vous recherchiez un nouvel emploi, votre place est avec nous.

Data Engineer II

Loblaw Technology & Analytics | 1 President’s Choice Circle, Brampton, ON

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.

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

If you’re up to the challenge, then we would love to hear from you. Apply today and get the process started.

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.

www.Loblaw.ca/careers

Notre engagement envers la durabilité et l'impact social est un élément essentiel de notre façon de faire des affaires. Nous concentrons notre attention sur les domaines où nous pouvons avoir le plus grand impact. Notre approche de la durabilité et de l'impact social repose sur trois piliers - l'environnement, l'approvisionnement et la communauté. Nous recherchons constamment des moyens de faire preuve de leadership dans ces domaines importants. Nos valeurs ÊTRE – Engagement, Tient à coeur, Respect et Excellence – guident toutes nos prises de décision et prennent vie à travers notre culture bleue. Nous offrons à nos collègues des carrières progressives, une formation complète, de la flexibilité ainsi que les nombreux avantages compétitifs - voici quelques-unes des nombreuses raisons pour lesquelles nous sommes classés au palmarès des meilleurs employeurs du Canada, au palmarès des meilleurs employeurs pour la diversité au Canada, au palmarès des employeurs les plus verts au Canada et au palmarès des meilleurs employeurs pour les jeunes au Canada.

Si vous ne savez pas si votre expérience correspond à toutes les exigences ci-dessus, nous vous encourageons à postuler quand même. Nous recherchons des perspectives de candidatures variées, qui incluent des expériences diverses que nous pouvons ajouter à notre équipe.

Nous nous concentrons depuis longtemps sur la diversité, l'équité et l'inclusion, car nous savons que cela fera de notre entreprise un meilleur lieu de travail et de magasinage. Nous nous engageons à créer des environnements accessibles pour nos collègues, candidats et clients. Les demandes d'aménagement en raison d'un handicap (qui peut être visible ou pas, temporaire ou permanent) peuvent être faites à n'importe quel stade de la demande et de l'emploi. Nous encourageons les candidats à faire connaître leurs besoins en matière d'accommodation afin que nous puissions offrir des opportunités équitables.

Veuillez noter:
Les candidats âgés de 18 ans ou plus doivent effectuer une vérification des antécédents criminels. Les détails seront fournis lors du processus d’embauche.

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.

#FR

#SS #LTnA #ON

Apply on carrieres.loblaw.ca About employer

More about this job

Responsibilities

The Data Engineer II at Loblaw will build and run data pipelines, cloud infrastructure and Kubernetes-based deployments. They will also troubleshoot incidents, automate operations and support AI-enabled data tools.

Requirements

Candidates need 3+ years in data, software or cloud engineering with production experience. They should know Python, SQL, Git, GCP, Kubernetes, Docker, Helm, CI/CD and Apache Airflow.

Skills

Python
SQL
Git
Google Cloud Platform
BigQuery
Google Cloud Storage
Kubernetes
Google Kubernetes Engine
Docker
Helm
CI/CD
GitLab CI/CD
Apache Airflow
Model Context Protocol
Large language models
Tool calling
Prompt engineering
Retrieval-augmented generation
Vertex AI
Google Agent Development Kit
LangChain
LangGraph
Relational databases
NoSQL databases
Infrastructure as code

Benefits

Tuition reimbursement
Pension and benefits
Paid vacation
Work perks program
On-site fitness and recreation
Grocery delivery to work
Dry cleaning services

Keywords

Data Engineer
Google Cloud Platform
GCP
BigQuery
Google Cloud Storage
Google Kubernetes Engine
GKE
Kubernetes
Docker
Helm
CI/CD
GitLab CI/CD
Apache Airflow
Python
SQL
Git
Generative AI
LLM
Model Context Protocol
MCP

Seniority

Mid level

Perks

Generous paid time off
Retirement plan
Tuition support
Wellness program

Tools

GCP
BigQuery
Google Cloud Storage
GKE
Docker
Helm
GitLab CI/CD
Apache Airflow
Git

Languages

English
French

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Work requirements

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