Data Engineer 1

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.