Data Engineer 1

Langley (District), BC
On-site
Posted Oct 9, 2026
1 position

$85,062–$106,328 / year

Opens an external site

Employment type: Full-time
Experience level: Mid-level · 2+ years
Minimum education: Bachelor’s degree
Apply by: Oct 15, 2026
Posting language: English
Working hours: 40 hours per week

Job summary

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.

Job details

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.

What you’ll do

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.