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Added 1 hour ago
MA
AI Architech
Meeru AI Inc
Remote, Canada
- Other
- Remote
Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems - ERPs, CRMs, billing platforms, HRIS - and…
Added 2 hours ago
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Lead Software Engineer
Morningstar
Toronto, ON
- Full-time
As a Lead Software Engineer on our Data Feed Platform team (Direct – Data & Research), you will partner with product owners and engineering teams to shape the technical direction of our…
Added 3 hours ago
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Application Security Engineer
VGS
Canada
- Full-time
…companies embed our universal token vault and credential management platform directly into their stack, taming the complexity of payment data so they can move…
Added 3 hours 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 3 hours ago
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Software Development Engineer macOS
BeyondTrust
Canada
- Full-time
As a Software Development Engineer, you will play a pivotal role in developing our endpoint security solution for macOS. You will work as part of a multi-disciplinary team, delivering…
Added 3 hours 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 3 hours ago
RC
Senior AI Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
- Production Platform Engineering (CI/CD, Docker, Kubernetes, Observability)
Added 3 hours ago
KG
Agent & DevOps Platform Engineer
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments
Added 3 hours ago
KG
AI Platform Engineer – DevOps & LLMOps
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: AI Platform Engineer – DevOps & LLMOps
Added 3 hours 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 3 hours ago
D
Director, Partner Solution Engineer
Docker
Remote, Canada
- Full-time
- Remote
…partners successfully integrate, sell, and deliver Docker's platform. Your focus will be on enabling your team to drive partner technical readiness, co-innovation, and mutual customer…
Added 4 hours ago
W
Software Engineer or Senior Software Engineer - Data Hub
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on…
Added 4 hours ago
V
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 8 hours ago
ES
Senior ServiceNow Architect
EPAM Systems
Canada
- Full-time
…design, implementation, and scaling of our enterprise ServiceNow platform. In this role, you will bridge the gap between business strategy and technical execution, defining the…
Added 8 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 8 hours ago
MM
Engineer
Mitchell Martin Inc.
Toronto, ON
- $41.65 to $59.5 USD / hour
- Other
We are seeking a hands-on engineer for a contract position based in Toronto, ON. The role involves driving the reliability, automation, and modernization of an enterprise workload…
Added 8 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.
Added 8 hours ago
M
Senior Android Developer
MapsPeople
Toronto, ON
- Full-time
You are a collaborative engineer who enjoys working on shared platforms rather than isolated features. You take pride in building clean, reliable SDKs that others depend on and enjoy…
Added 8 hours ago
M
Machine Learning Engineer
Mission.dev
Canada
- Full-time
Mission is a platform for hiring, vetting and managing software development talents. It enables our clients to connect with the world’s best talent to build mission-critical software…
Added 9 hours ago
Y
Senior Full Stack Developer – Cloud & Platform Engineering
Yochana
Calgary, AB
- Full-time
You will, however, be joining our Power Platform Center of Excellence and while the day to day work is conventional software engineering, the platform is part of the environment you'll be…
Added 10 hours ago
M
CFD Engineer - AI Trainer
Mindrift
Remote, Canada
- Part-time
- Remote
…required expertise. Please note that other projects on the platform may offer different earning levels based on their…
Added 10 hours ago
LI
Jira Software Engineer
LanceSoft, Inc.
ON · Ontario, Canada
- $45 to $50 CAD / hour
- Contract
Minimum 3 years of experience in Jira Service Management administration, development, configuration, workflow automation, or related enterprise platform engineering.
Added 10 hours ago
G
AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a…
Added 11 hours ago
P
Junior Solutions Engineer
Pontosense
Toronto, ON
- Full-time
Technical onboarding. Agencies and partners get set up on our platform, trained and live, with their first sensors in homes
Added 11 hours ago
AS
Senior Full Stack Developer - Azure
Ardent SoftSol Inc.
Calgary, AB
- Contract
You will, however, be joining our Power Platform Center of Excellence and while the day to day work is conventional software engineering, the platform is part of the environment you'll be…

Loblaw Digital

Staff Data Engineer

Toronto, ON, Canada

$145,000.00 - $195,000.00 / 145.000,00$ - 195.000,00$ (per year / par an) · Full-time

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Job details

Pay: $145,000.00 - $195,000.00 / 145.000,00$ - 195.000,00$ (per year / par an)
Job type: Full-time
Apply by: Nov 10, 2026
Posting language: English
Posted: Oct 11, 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.

As a Staff Data Engineer, you will play a technical leadership and architecture role on the Retail Media Platform team. This is a senior, hands-on position focused on designing, building, and evolving high-scale data platforms and backend systems that power advertising measurement, reporting, analytics, and AI-enabled use cases.

You will lead complex design initiatives, improve performance and reliability across critical pipelines, raise the bar on code quality, and mentor engineers across teams. You will also work closely with backend, product, and AI teams to reduce system coupling, evolve metadata and API design, and enable next-generation data and AI capabilities across the platform.

This role is ideal for someone who enjoys being both a system architect and a strong individual contributor, and who wants to shape the future of data and AI platforms at scale.

What You'll Do

Architecture & Technical Leadership

Lead system-level design for scalable, reliable, and high-performance data platforms supporting batch, streaming, and real-time use cases.
Drive architectural improvements across data pipelines, metadata layers, APIs, and service dependencies.
Partner with Product, Backend, and AI teams to translate complex business requirements into robust technical solutions.

Data Engineering & Platforms

Architect, build, and optimize large-scale data pipelines using PySpark, Dataproc, Airflow, GCS, Parquet, and GCP services.
Design and maintain data models that support analytics, reporting, experimentation, and measurement at scale.
Implement strong data quality, validation, observability, and monitoring practices to ensure data trust and reliability.

Backend & API Enablement

Contribute to the design and evolution of backend services and APIs that expose measurement, filtering, and reporting capabilities.
Reduce unnecessary API and metadata dependencies to unlock better performance and flexibility, including deeper and more effective use of analytics engines such as Druid.
Collaborate closely with backend engineers on service design, scalability, and performance tuning.

AI & Data-for-AI Enablement

Partner with Data & AI teams to enable AI-driven features through high-quality, well-modeled, and inference-ready data pipelines.
Support Loblaw’s broader AI strategy (including LDIA initiatives) by designing data foundations that power experimentation, automation, and intelligent decision-making.
Help bridge traditional data engineering with emerging AI-enabled use cases.

Engineering Excellence & Mentorship

Lead design reviews and code reviews, setting standards for performance, readability, testing, and maintainability.
Mentor and coach engineers across experience levels, helping raise overall engineering maturity.
Drive continuous improvement across pipeline performance, cost efficiency, reliability, and operational excellence.

Does This Sound Like You?

BA/BS in Computer Science, Engineering, Math, or a related field (advanced degree is a plus).
Senior- or Staff-level Data Engineer with experience owning production-critical, large-scale systems.
Deep hands-on expertise with PySpark and distributed data processing, including performance optimization.
Strong experience with cloud data platforms, preferably GCP (Dataproc, GCS, BigQuery).
Strong SQL skills with experience querying and optimizing large analytical datasets.
Experience with non-relational and analytical data stores (e.g., Druid, Bigtable, Elasticsearch, or similar).
Solid programming experience in Python, Scala, or Java.
Experience with orchestration tools such as Airflow and operating production pipelines.
Strong understanding of data modeling, partitioning strategies, and storage formats (e.g., Parquet).
Experience working in Agile environments with iterative delivery.
Strong oral and written communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.
Proven team player who thrives in a fast-paced, collaborative environment.

Nice to Have

Experience supporting AI/ML workflows or platforms used for model training or inference.
Experience with real-time or streaming systems (e.g., Kafka or similar).
Experience in advertising technology, retail media, or large-scale measurement systems.
Experience designing or evolving metadata-driven systems and APIs.

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

$145,000.00 - $195,000.00 / 145.000,00$ - 195.000,00$ (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 #LD #ON

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More about this job

Responsibilities

Lead the architecture and hands-on development of scalable data platforms, pipelines, and backend APIs supporting analytics, advertising measurement, reporting, and AI use cases. Improve performance, reliability, data quality, and engineering standards while partnering with product, backend, and AI teams and mentoring engineers.

Requirements

The role calls for senior- or staff-level experience owning production-critical, large-scale systems, with strong hands-on expertise in PySpark, distributed processing, SQL, and cloud data platforms, preferably GCP. Candidates should also bring programming and orchestration experience, knowledge of data modeling and analytical data stores, and strong communication and collaboration skills; a bachelor's degree in a related field is requested, with an advanced degree considered a plus.

Skills

PySpark
Distributed Data Processing
Google Cloud Platform
Dataproc
Google Cloud Storage
BigQuery
SQL
Python
Scala
Java
Apache Airflow
Data Modeling
Data Pipeline Optimization
Druid
Data Quality and Observability
Technical Leadership

Benefits

Comprehensive Training
Flexible Work Arrangements
Competitive Benefits

Visa sponsorship

Not detected in the job text

Keywords

Retail Media
Advertising Measurement
Data Engineering
Data Platform Architecture
PySpark
Distributed Data Processing
Google Cloud Platform
Dataproc
Google Cloud Storage
BigQuery
Apache Airflow
Parquet
Druid
Bigtable
Elasticsearch
SQL
Python
Scala
Java
Data Modeling
Batch Processing
Streaming Systems
Real-Time Data
Data Quality
Observability
API Design
Metadata-Driven Systems
AI and Machine Learning
Agile
Performance Optimization

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