Fall 2023 - Data Engineer Co-Op

Job description

Referred applicants should not apply directly to this role.

All referred applicants must first be submitted through Workday by a current Loblaw Colleague.


500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

When you hire great people, great things can happen.

PC Financial offers unprecedented value to Canadians through payment products. We’re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

Please apply to the role by June 2, 2023

4 Month Co-op

September 11, 2023 – December 15, 2023

Location: 500 Lakeshore Blvd West, Toronto

We have adopted the following Hybrid working model (a combination of working between the office and remotely). Colleagues will continue working remotely up to 3 days a week, while spending the other 2 days in the office.

What you’ll do:

Develop and apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, and quality

Your primary area will be data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, machine learning, or data modeling (SQL, NoSQL, Graph & Time-series)

Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases

Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)

Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings

Who you are

Have good coding skills (Data Structures and Algorithms)

Strong analytical and problem-solving ability

Strong written and verbal communication skills

Nice To Have Skills (though Not Required)

Exposure to data science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)

Contributions to open-source software (code, docs, or mailing list posts)

Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

Number of Openings:


PC Financial recognizes Canada’s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

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