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Added 7 days ago
S
Application Support Engineer (Front Office)
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- Full-time
Create lightweight automation utilities using Python / PowerShell / Shell scripting to streamline repetitive support tasks and improve operational controls.
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Azure Databricks Cloud Migration & Platform Engineer (36101)
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- $70 to $75 CAD / hour
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AI Engineer
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Senior Software Engineer – AI Agents
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Toronto, ON
- Full-time
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IP Silicon Validation Engineer
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- Full-time
The AMD NBIO Team is on the lookout for a dynamic, upbeat IP Validation Design Engineer to join our growing team. As a key contributor to the success of AMD’s IP, you will be part of a…
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Senior Associate - Identity and Access Management
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Added 7 days ago
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Senior Full Stack Java Developer - Capital Markets
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Data Engineer
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Remote, Canada
- $95,000 to $115,000 CAD / year
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…covering crop protection, water management, frost control, automation, and a leading farm management information system. The Semios Group includes trusted brands such as Semios, Agworld,…
Added 7 days ago
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Consultant, Cloud Engineer - Azure
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Build and maintain Infrastructure-as-Code and automation using tools such as Terraform, PowerShell, Azure CLI and/or Python.
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- Full-time
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Added 7 days ago
PF
Data Engineer
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Langley (District), BC · Langley Office - Langley BC
- Full-time
We have an exciting opportunity for a full-time Data Engineer to join our IT team in Langley, BC.
Added 7 days ago
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Added 7 days ago
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Data Engineer
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Added 7 days ago
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Added 7 days ago
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Senior DevSecOps Engineer
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Remote, Canada
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Pattison Food Group

Data Engineer

Langley (District), BC, Canada
Langley Office - Langley BC, Canada

$85,062.00 - $106,328.00 · Full-time

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Job details

Pay: $85,062.00 - $106,328.00
Job type: Full-time
Experience: A minimum 2 years of experience building and supporting production data pipelines in a cloud-based environment
Posting language: English
Posted: Oct 30, 2026

Original job description

Come join Pattison Food Group Ltd., a Jim Pattison business, and Canada’s largest Western-based provider of food and health products.

Pattison Food Group Ltd. consists of Save-On-Foods and other well-known grocery banners. With nearly 300 retail locations, we proudly employ more than 30,000 team members.

We have an exciting opportunity for a full-time Data Engineer to join our IT team in Langley, BC.

Reporting to the Team Lead, Data & Analytics, you will be responsible for working with one of the largest, most comprehensive datasets in Canada while delivering and pioneering solutions that will disrupt the retail industry using the latest tools and technologies.

You will be responsible for:

Building and maintaining scalable, well-structured data solutions using Medallion Architecture in modern delta lake/lakehouse platforms
Designing and developing, high-performance, scalable data pipelines using Databricks, Spark, Python/PySpark and SQL
Developing dimensional and analytical data models, including fact and dimension tables, slowly changing dimensions, incremental processing, change data capture, and reusable curated datasets.
Writing production Python/Scala scripts in a Spark/Databricks environment to support the data pipelines that feed Machine Learning models
Orchestrating data ingestion, transformation, scheduling, monitoring, and recovery processes using ADF / Databricks Automation Bundles
Applying data-quality, testing, documentation, security, and governance standards throughout the development lifecycle.
Optimizing data pipelines and models to improve performance, scalability, reliability, and cost efficiency. Identifying opportunities to simplify processing and improve overall solution design.
Using version control, code reviews, CI/CD, and established release-management practices.
Working with business and technical partners to understand requirements and translate them into practical data solutions.
Troubleshooting production issues and contributing to ongoing platform and process improvements.

You have:

A Bachelor’s degree in a STEM discipline at minimum, a Master’s is preferred.
A minimum 2 years of experience building and supporting production data pipelines in a cloud-based environment
Strong SQL and Python/PySpark skills, with experience working with large datasets.
Experience with Databricks, Spark, Delta Lake, or a comparable modern data platform.
Experience with data pipeline orchestration using Azure Data Factory, Databricks Jobs, or similar tools.
Knowledge of modern data architecture, ETL/ELT, data modelling, incremental processing, data quality, and production support.
Familiarity with Git-based version control, automated testing, and CI/CD practices.
The ability to communicate clearly, document solutions, and work effectively with technical and non-technical partners.

You are:

A practical problem solver with an ownership mindset.
Detail-oriented and committed to delivering reliable, supportable solutions.
A collaborative communicator who works well across teams.
Curious and adaptable, with an interest in modern data technologies and continuous improvement.

What we offer

In addition to a highly competitive salary, we offer a great range of benefits, a company pension plan, free parking, exclusive team member offers, and opportunities for development and career progression.

If you’re looking to join a team that puts people first, you’re in the right place. Apply online today!

IND6

Compensation Details:

$85,062.00 - $106,328.00

The compensation offered for this position will take into consideration location, education, skills, experience and other factors.

Apply About employer

More about this job

Responsibilities

You will design and maintain scalable data pipelines and models using modern lakehouse platforms like Databricks and Spark. Additionally, you will collaborate with technical partners to ensure data quality, security, and performance optimization across the retail data ecosystem.

Requirements

Candidates must hold at least a Bachelor's degree in a STEM discipline and possess a minimum of 2 years of experience in production data pipelines. Strong proficiency in SQL, Python, and modern data architecture tools is required for this role.

Skills

Data engineering
SQL
Python
PySpark
Databricks
Spark
Delta Lake
Azure Data Factory
Data modeling
ETL/ELT
CI/CD
Git
Data pipelines
Cloud computing
Data governance
Machine learning

Benefits

Competitive salary
Company pension plan
Free parking
Exclusive team member offers
Development opportunities
Career progression

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
Medallion Architecture
Delta Lake
Lakehouse
Databricks
Spark
Python
PySpark
SQL
Dimensional modeling
Fact tables
Dimension tables
Slowly changing dimensions
Change data capture
Machine Learning
Azure Data Factory
ADF
Data ingestion
Data transformation
CI/CD
Version control
Git
ETL
ELT
Data quality
Data governance
Cloud-based environment
Retail industry
STEM
Data pipelines

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