Staff Data Engineer

Come make your difference in communities across Canada, where authenticity, trust and making connections is valued – as we shape the future of Canadian retail, together. Our unique position as one of the country's largest employers, coupled with our commitment to positively impact the lives of all Canadians, provides our colleagues a range of opportunities and experiences to help Canadians Live Life Well.

Please note, Loblaw's Return To Office Policy is 4 days in Office

At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experiences, or designing an app that will impact the lives of people across the country, we’re up for the challenge. Loblaw Digital is the team responsible for building and operating the online businesses of Canada’s largest and most successful retailer. Based in downtown Toronto, we are an entrepreneurial, fast-paced, and collaborative team working towards transforming the way Canadians shop by creating leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, loyalty, and apparel spaces, and we’re only just getting started! To achieve these goals, we are looking for talented and passionate individuals who want to collaborate and solve challenging problems, making a significant and lasting impact on Canadians.

As a Staff Data Engineer, you will be one of the lead roles in the Retail Media Platform team, working to build a best-in-class Ad tech solution that allows internal and external users to create, manage, and report on advertising campaigns. You will take a proactive role in architecting and optimizing data pipelines, uncovering insights, and ensuring data integrity to support critical reporting and analytics needs. Your expertise will guide the design and implementation of scalable, high-performance data models, and you will mentor junior team members to elevate the overall engineering quality.

Key Responsibilities:

1. Work with stakeholders to architect and develop data driven solutions that support diverse data consumers across the organization.
2. Design and implement automated reporting pipelines and real-time streaming dashboards.
3. Drive the development and implementation of robust data models and semantic layers for business intelligence and analytics.
4. Architect, build, and optimize data pipelines using technologies such as Java, Scala, Python, DataProc, DBT, Airflow, and GCP services.
5. Develop and implement rigorous testing and data validation strategies to ensure reporting accuracy and consistency.
6. Mentor and guide junior data engineers to promote best practices and elevate the technical capabilities of the team.
7. Collaborate with business teams, including Developers, Product Managers, and Marketers, to identify and meet reporting and analytics needs.
8. Actively contribute to building a data-driven culture that prioritizes hypotheses-driven product development.
9. Drive continuous improvement in the performance and scalability of the data pipeline and architecture.

Qualifications:

1. BA/BS in Computer Science, Engineering, Math, or a related field; advanced degrees are a plus.
2. 6+ years of experience as a data engineer, with at least 3 years in senior Data Engineering role.
3. Extensive hands-on experience with non-relational databases such as Bigtable and Druid, as well as experience with BigQuery for data warehousing and analytics.
4. Proven ability to write complex SQL queries and perform advanced analysis on large datasets.
5. Strong programming experience in Python, Scala, Java, or other data processing languages.
6. Strong experience with cloud technologies (GCP, AWS, Azure) and data infrastructure.
7. Advanced understanding of data warehouse concepts and best practices.
8. Strong experience with Git for version control and collaborative development.
9. Strong oral and written communication skills, with an ability to articulate technical concepts to both technical and non-technical stakeholders.
10. Proven team player that will work well in a dynamic and fast-paced environment.
11. Experience working in an agile environment with a focus on iterative delivery and continuous improvement.
12. Experience in advertising technologies and platforms is a plus.
13. Passionate about data, with a strong desire to learn and continuously improve.

How You’ll Succeed:

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust, and make meaningful connections. We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce. You will get to work with some of the best digital minds and have the support of world-class technologies to craft products our customers will love!

We encourage applicants to apply, even if you don't meet every single requirement. We value diverse perspectives and experiences, and we are committed to fostering an inclusive environment where everyone feels empowered. We provide equitable opportunities for all candidates, and accommodations for disabilities (visible or invisible) can be requested at any stage of the application process.

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

Please Note:
Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.