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Added 25 mins ago
DS
Member of Technical Staff – AI Evaluation
Digivance Solutions
Canada
- Full-time
What does it take to evaluate an AI system that can engineer real-world physical systems?
Added 2 hours ago
ES
AI Architect
EPAM Systems
Canada
- Full-time
…constraints that shape what gets built, whether the builder is an engineer or an AI coding…
Added 4 hours ago
SL
Engineering Manager
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Operate with startup velocity - fast iterations, continuous deployment, data-driven decisions
Added 5 hours ago
N
Senior Machine Learning Applications and Compiler Engineer, LPX
NVIDIA
Canada
- Full-time
We are now looking for a Senior Machine Learning Applications and Compiler Engineer!
Added 5 hours ago
TC
Senior Network Engineer - Data Center & Network Infrastructure
Tata Consultancy Services
Montreal, QC
- Full-time
Looking for a Senior Network Engineer with strong experience in designing, implementing, and supporting enterprise-scale Data Center and Network Infrastructure environments. The candidate…
Added 6 hours ago
OI
Data Implementation Engineer
Odaia Intelligence Inc.
Remote, Canada
- Full-time
- Remote
As a Data Implementation Engineer reporting to the Manager, Technical Implementations, you will play a critical role in configuring and implementing our AI-driven platform to enable our…
Added 6 hours ago
OI
Senior Data Implementation Engineer
Odaia Intelligence Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Data Implementation Engineer, reporting to the Manager, Technical Implementations, you will own complex customer implementations end-to-end and act as a technical escalation…
Added 7 hours ago
O
FPGA AI Accelerator Engineer
O-HIVE.AI
Windsor, ON
- Full-time
We are seeking a talented and motivated FPGA Engineer to join our engineering team and contribute to the development of hardware-accelerated spatial vision and edge AI systems.
Added 8 hours ago
ES
Lead AI Engineer
EPAM Systems
Canada
- Full-time
We are looking for a Lead Software Engineer (7+ years of experience) to join a high-caliber product team building a next-generation AI-powered financial assistant platform. In this role,…
Added 10 hours ago
GF
Founding Engineer
Glass Factory
Montreal, QC
- Full-time
Being a Founding Engineer at Glass Factory means building the technical foundation of the company. You will own meaningful product surfaces end-to-end, from idea to production. This role…
Added 10 hours ago
RE
Senior Drilling & Completions Engineer
Rubellite Energy
AB · Calgary, Alberta
- Full-time
stewardship, with data analytics and a mindset for continuous improvement to maximize asset
Added 10 hours ago
K
Senior Software Engineer, Payments
Kindsight
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
…in fundraising intelligence, Kindsight leverages real-time data and AI to help thousands of organizations around the world identify, manage, and engage with donors - at any scale. With…
Added 11 hours ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- $130,000 to $150,000 CAD / year
As the Cloud Infrastructure and DevSecOps Engineer, you will own the end-to-end cloud infrastructure and deployment pipeline for InfoTrack Canada. You will unblock critical environment…
Added 11 hours ago
X
Cybersecurity Engineer
Xanadu
Toronto, ON
- Full-time
…by humans. If you would like more information about how your data is processed, please contact…
Added 11 hours ago
X
AI Specialist - AI For Research
Xanadu
Toronto, ON
- Full-time
4+ years of ML/Research Engineer experience developing models and/or AI tools in a scientific/engineering research environment.
Added 11 hours ago
X
Senior Software Developer - Automation Systems
Xanadu
Toronto, ON
- Full-time
Develop the SDKs, APIs, and data visualizations that internal users interface with, treating developer experience as a first-class product concern.
Added 11 hours ago
X
Cloud Engineer
Xanadu
Toronto, ON
- Full-time
As a Cloud Engineer, you will contribute to the cloud platform and the infrastructure which hosts all our internal projects workloads. You will work on a team to support and maintain…
Added 11 hours ago
X
Data Platform Engineer
Xanadu
Toronto, ON
- Full-time
As a Data Platform Engineer, you will take Xanadu’s existing data pipelines and transform them into a cohesive data platform. Working alongside hardware researchers, data scientists, and…
Added 11 hours ago
X
Senior Network Engineer
Xanadu
Toronto, ON
- Full-time
As a Senior Network Engineer, you will own, secure, and modernize our enterprise network infrastructure across a multi-vendor environment. In this role, you will bridge core network…
Added 11 hours ago
X
Sr. Equipment Engineer
Xanadu
Toronto, ON
- Full-time
≥ 5 years of experience serving as an equipment engineer or equipment owner in a semiconductor fab, medical device manufacturing, or high-traffic university nanofabrication facility.
Added 11 hours ago
X
Senior Electrical Engineer
Xanadu
Toronto, ON
- Full-time
…photonic quantum computers. In the role of senior electrical engineer, you will contribute your experience spanning precision analog measurement and digital control. You will join a growing…
Added 11 hours ago
X
Senior Photonics Engineer - Homodyne Detection
Xanadu
Toronto, ON
- Full-time
We are seeking a Senior Photonic Engineer – Integrated Homodyne to participate in designing, developing and experimentally validating cutting-edge photonic systems. You will be working with…
Added 11 hours ago
X
Senior Photonic Engineer - Experimentalist
Xanadu
Toronto, ON
- Full-time
We are seeking a Senior Photonic Engineer – Experimentalist to participate in designing, developing and experimentally validating cutting-edge photonic systems. Your primary focus will be…
Added 11 hours ago
X
Senior Mechanical Engineer
Xanadu
Toronto, ON
- Full-time
…rack-scale quantum computer development. In the role of mechanical engineer, you will join a growing team to model all elements that make up our complex devices, as well as design and…
Added 11 hours ago
X
Senior Low Temperature Device Engineer (SNSPDs)
Xanadu
Toronto, ON
- Full-time
● Analyze device performance data to inform design iterations and process improvements

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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