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Added 2 mins ago
Server
Canad Inns
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…and the highest ethical standards across all facets of our business. We believe in fostering lasting relationships, both with our guests and within our dynamic…
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Pattison Food Group

Data Engineer 1

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
Apply by: Oct 14, 2026
Experience: A minimum 2 years of experience in creating and managing large-scale, distributed data
Posting language: English
Posted: Oct 8, 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 Manager, 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:

Designing and constructing high-performance, scalable data pipelines to operationalize our state-of-the-art solutions ranging from quantum computing pipelines to deep learning based recommender systems
Creating innovative solutions to tackle computationally intensive challenges and business issues
Writing production Python/Scala scripts in a Spark/Databricks environment to support the data pipelines that feed Machine Learning models
Leveraging cloud environments and following best practices while building solutions in the data lake as it evolves to meet the needs of the business
Performing data wrangling, feature engineering, and dimension reduction with data of all shapes and sizes, from parquet files to images
Partnering with Machine Learning Engineers, Data Scientists, and Cloud Architects to deliver models into production
Coaching, mentoring, and providing feedback to team members and junior data engineers
Discovering novel datasets and data sources and making them available for modeling and reporting
Using your expertise in big data technologies to champion innovation, design, and implement data-stores and analytic models, oversee large-scale data lake platforms, and design and implement efficient data pipelines from source systems to data-stores
Defining and implementing Quality Assurance best practices that support the implementation of data transformations and the availability of high-quality data.

You have:

A Bachelor’s degree in a STEM discipline at minimum, a Master’s is preferred.
A minimum 2 years of experience in creating and managing large-scale, distributed data
Expertise in Python and Spark. Experience in other programming languages such as Java, Scala, or C++ is a plus
Expertise in SQL
Experience designing and deploying high-performance data processing systems with reliable data validation, monitoring, and logging practices
Rigor in high code quality, automated testing, and other engineering best practices
Experience with big data technologies such as Hadoop, Spark and Databricks
Familiarity with software development best practices, including version control, CI/CD and CAB processes
Expert knowledge of databases and modern data workloads

You are:

A strong communicator
Detail-oriented and organized
A leader with an ownership mindset
Passionate about machine learning
Able to work independently and as part of a team

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!

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 construct high-performance, scalable data pipelines to support machine learning models and business analytics. Additionally, you will collaborate with cross-functional teams to deliver innovative data solutions and mentor junior team members.

Requirements

Candidates must have a Bachelor's degree in a STEM discipline and at least 2 years of experience in managing large-scale, distributed data. Proficiency in Python, Spark, and SQL is required, along with experience in cloud environments and software development best practices.

Skills

Python
Spark
SQL
Databricks
Data engineering
Data pipelines
Machine learning
Cloud environments
Data lake
Big data
Hadoop
Scala
Java
C++
CI/CD
Quality assurance

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
Python
Spark
Databricks
SQL
Data Pipelines
Machine Learning
Cloud
Data Lake
Hadoop
Scala
Java
C++
CI/CD
Quality Assurance
Data Wrangling
Feature Engineering
Dimension Reduction
Big Data
STEM
Retail
Analytics
Version Control
Data Modeling
Distributed Systems

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