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Added 24 mins ago
V
Application Security Engineer
VGS
Canada
- Full-time
…directly into their stack, taming the complexity of payment data so they can move…
Added 24 mins ago
WS
Network Administrator
Windsor Salt Ltd.
Canada
- Full-time
Implement and enforce network security measures, such as access controls, firewall rules, intrusion detection systems, and data encryption.
Added 39 mins ago
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Winter Co-op 2027 - Data Engineering
Manulife
Toronto, ON
- Full-time
As a Data Engineer Co-op, you’ll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You’ll work with modern data tools and…
Added 39 mins ago
M
Winter Co-op 2027 - Data Engineering
Manulife
Waterloo, ON
- Full-time
As a Data Engineer Co-op, you’ll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You’ll work with modern data tools and…
Added 53 mins ago
SE
Engineer in Training (EIT)
Sangster Engineering Ltd
Amherst, NS
- Full-time
We are hiring an entry-level engineer (mechanical or electrical) to join our R&D team. You will help take new products from the first sketch through prototyping, testing, certification and…
Added 53 mins ago
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Staff Software Development Engineer – Linux Endpoint
BeyondTrust
Canada
- Full-time
As Staff Software Development Engineer, you'll be the Linux kernel authority for the runtime enforcement layer of our Identity Security Platform. These components decide, in-kernel, whether…
Added 53 mins ago
AI
Senior Software Engineer- React Native
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a Senior/Lead React Native Engineer with 8+ years of mobile engineering and 5+ years of production React Native experience.Strong expertise in React Native 0.76+, New…
Added 53 mins ago
RC
Senior AI Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Demonstrated ability to design and explain solution architecture (data flow, runtime flow, interfaces, failure modes, and controls) and to explain model behaviour, limitations, and…
Added 53 mins ago
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Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of…
Added 53 mins ago
AC
Machine Learning Engineer
AGCO Corporation
Winnipeg, MB
- Full-time
Solutions for Every Season. We engineer and deliver precision agriculture hardware, software, and cloud-based platforms that connect every corner of the farm. At PTx, we are redefining the…
Added 53 mins ago
AT
Artificial Intelligence Engineer
Arkhya Tech Inc.
Canada
- Full-time
Added 54 mins ago
Infrastructure Solutions Group Channel Sales Engineer
Lenovo
Markham, ON
The Infrastructure Solutions Group Solution Architect/Sales Engineer helps drive channel partner sales for Lenovo's Data Center product line as part of the Lenovo channel technical sales…
Added 54 mins ago
FF
Genesys Systems Engineer
Forward Financing
Remote, Canada
- $105,000 to $128,000 CAD / year
- Full-time
- Remote
As a Genesys Systems Engineer, you will play a key role in supporting our contact center platform by applying your technical expertise. You will collaborate closely with cross-functional…
Added 54 mins ago
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Director, Partner Solution Engineer
Docker
Remote, Canada
- Full-time
- Remote
Build strong feedback loops to iterate on enablement strategies based on data-driven insights and partner performance.
Added 54 mins ago
Full Stack Python Developer (Backend focused)
Capco
Toronto, ON
We are looking for an experienced Senior Full-Stack Python Software Engineer to design and build high-quality digital solutions using Python web frameworks and modern front-end technologies.
Added 1 hour ago
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Software Engineer or Senior Software Engineer - Data Hub
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Datahub is an AI/MLOps centered Data engineering team and our goal is to ingest, compute, and surface data driving key Workday applications across the company.
Added 2 hours ago
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Software Engineer - ML Launchpad
Verily
Waterloo, ON
- Full-time
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and…
Added 2 hours ago
L
Sr Tech Sales Engineer Rep (LETS)
Lenovo
Markham, ON
- $105,000 to $161,000 CAD / year
The Lenovo Expert Technical Sales (LETS) Senior Technology Sales Engineer Representative is an experienced inside technical sales professional responsible for supporting Lenovo's Data…
Added 4 hours ago
GM
DevOps Software Quality Automation Tools Engineer
General Motors
Markham, ON
- Full-time
Familiarity with data structures and algorithms
Added 4 hours ago
GM
Senior DevOps Software Quality Automation Tools Engineer
General Motors
Markham, ON
- Full-time
Familiarity with data structures and algorithms
Added 5 hours ago
ES
Senior ServiceNow Architect
EPAM Systems
Canada
- Full-time
…process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating…
Added 5 hours ago
MM
Engineer
Mitchell Martin Inc.
Toronto, ON
- $26.95 to $38.5 USD / hour
- Other
Engineer - Toronto, ON - Contract - $26.95-$38.50 Per Hr
Added 5 hours ago
MM
Engineer
Mitchell Martin Inc.
Toronto, ON
- $31.85 to $45.5 USD / hour
- Other
Engineer - Toronto, ON (Onsite) - Contract - $31.85-$45.50 Per Hr
Added 5 hours ago
MM
Engineer
Mitchell Martin Inc.
Toronto, ON
- $41.65 to $59.5 USD / hour
- Other
Engineer - Toronto, ON - Contract - $41.65-$59.50 Per Hr
Added 5 hours ago
PG
Azure Data Engineer
Pacer Group
Toronto, ON
- $50 to $55 CAD / hour
- Contract
7+ years of experience in Data Engineering and Data Warehousing, including 5+ years with Azure Data Platform technologies.

Loblaw Companies Limited

Data Engineer II

Brampton, ON, Canada

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Job details

Pay: 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.
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
Posted: Oct 7, 2026

Original job description

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

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

Our commitment to Sustainability and Social Impact is an essential part of the way we do business, and we focus our attention on areas where we can have the greatest impact. Our approach to sustainability and social impact is based on three pillars – Environment, Sourcing and Community – and we are constantly looking for ways to demonstrate leadership in these important areas. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

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.

#EN

#SS #LTnA #ON

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More about this job

Responsibilities

You will design, build, and maintain cloud services, data pipelines, and infrastructure on Google Cloud Platform to support business operations. Additionally, you will collaborate with cross-functional teams to deploy generative AI agents and optimize platform reliability through automation and incident response.

Requirements

Candidates must have at least 3 years of professional experience in data, software, or cloud platform engineering. Proficiency in Python, SQL, Kubernetes, and CI/CD pipelines is required, along with strong software engineering fundamentals.

Skills

Data Engineering
Python
SQL
Git
Google Cloud Platform
BigQuery
Google Cloud Storage
Kubernetes
GKE
Docker
Helm
GitLab CI/CD
Apache Airflow
Generative AI
LLMs
Software Engineering

Benefits

Work Perks Program
On-site Fitness Facilities
Groceries Delivered To Work
Dry Cleaning Services
Tuition Reimbursement
Online Learning
Pension
Benefits
Paid Vacation

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Cloud Platform Engineering
Generative AI
Model Context Protocol
GCP
BigQuery
Google Kubernetes Engine
Helm
CI/CD
GitLab
Apache Airflow
Workflow Orchestration
Python
SQL
NoSQL
Infrastructure as Code
Vertex AI
LangChain
RAG
Site Reliability Engineering
Automation
Data Discovery
Metadata Management
Distributed Data Processing
Fault Tolerance
Retail Technology
Data Platform
Deployment Pipelines
Containerization
API Integration

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