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- Contract
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Principal Software Engineer - Zynque
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Software Engineer - Backend
Nominal
Montreal, QC
- $179,000 to $250,000 CAD / year
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…into the real world faster. It brings together the systems, data, intelligence, and applications hardware engineering requires to meet the AI…

Loblaw Companies Limited

Staff Data Engineer - Retail Media Platform

Toronto, ON, Canada

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Job details

Pay: 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.
Job type: Full-time
Posting language: English
Posted: Nov 2, 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.

The Opportunity

As a Staff Data Engineer on the Retail Media Platform team, you will lead the design and evolution of large-scale data platforms and backend systems supporting measurement, reporting, analytics, and AI-enabled capabilities.

This is a hands-on technical leadership role for an engineer who can independently design complex solutions, make sound architectural decisions, solve challenging production problems, and guide engineering practices across teams.

You will work closely with Data Engineering, Backend, Product, and AI teams to improve platform scalability, reliability, performance, and maintainability.

What You'll Do:

Architecture & Technical Leadership

Lead end-to-end solution design for large-scale data platforms and distributed systems.
Translate complex requirements into scalable, reliable solutions with clear architectural trade-offs.
Drive technical decisions across data pipelines, storage, metadata, APIs, and service dependencies.
Lead design reviews, mentor engineers, and establish engineering best practices.

Data Engineering & Platform Design

Design, build, and optimize data pipelines supporting batch, streaming, and analytical workloads.
Develop scalable data models and processing architectures for large datasets.
Establish strong practices for data validation, quality, testing, monitoring, and recovery.
Improve performance, cost efficiency, and operational reliability across production systems.

Backend & AI Enablement

Collaborate on backend service and API architecture for data-intensive applications.
Design efficient data access and serving patterns that support analytics and reporting.
Build reliable, well-modeled data foundations for AI-enabled products and advanced analytics.

Engineering Excellence

Contribute hands-on through technical design, coding, troubleshooting, and code reviews.
Set standards for maintainability, testing, observability, and production readiness.
Guide complex cross-team initiatives from design through delivery.

Does This Sound Like You:

Demonstrated Staff-level technical judgment and experience independently designing and delivering complex production systems.
Strong knowledge of data architecture, data modeling, distributed data processing, and analytical workloads.
Hands-on experience developing and operating large-scale data pipelines.
Strong SQL skills and proficiency in a programming language such as Python, Scala, or Java.
Understanding of backend architecture, API design, data access patterns, and system performance.
Experience with cloud data platforms, orchestration, storage design, and production operations.
Strong understanding of data quality, validation, testing, monitoring, and failure recovery.
Ability to evaluate technical trade-offs, lead design discussions, and influence engineering decisions across teams.
Experience mentoring engineers and raising engineering standards.

Nice to Have

Experience with Apache Spark/PySpark and distributed processing frameworks.
Experience with GCP technologies such as Dataproc, BigQuery, GCS, and Airflow.
Familiarity with analytical or non-relational databases such as Druid, Bigtable, or Elasticsearch.
Experience with streaming technologies such as Kafka.
Experience building data platforms supporting AI/ML workloads.
Experience with retail media, advertising technology, or measurement systems.

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 design and evolution of large-scale data platforms and backend systems to support measurement, reporting, and AI-enabled capabilities. Drive technical decisions across data pipelines, storage, and APIs while mentoring engineering teams to ensure high standards of reliability and performance.

Requirements

Requires staff-level technical judgment and extensive experience in designing complex production systems and large-scale data pipelines. Proficiency in SQL and programming languages like Python, Scala, or Java is essential, along with a strong understanding of cloud data platforms and distributed processing.

Skills

Data engineering
Technical leadership
System architecture
Data modeling
Distributed systems
SQL
Python
Scala
Java
Cloud data platforms
Data pipelines
API design
Performance optimization
Mentoring
Production operations
Data quality

Benefits

Comprehensive training
Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Retail Media
Backend Systems
AI-enabled
Distributed Systems
Data Pipelines
Data Modeling
SQL
Python
Scala
Java
Cloud Data Platforms
GCP
Dataproc
BigQuery
Airflow
Apache Spark
PySpark
Kafka
Druid
Bigtable
Elasticsearch
API Design
Technical Leadership
Data Quality
Observability
Production Readiness
Architecture
Measurement Systems
Advertising Technology

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