Data Cloud Engineer

For 100 years, Reitmans (Canada) Limited (RCL) has defined the Canadian retail fashion landscape with its three iconic brands, Reitmans, RW&CO. and PENN. Penningtons. We're excited about what we’ll build together next.  

Our vision is to empower Canadians to live confidently, and our mission is to create collections of uncompromising style and quality for all. 

We believe great people do their best work alongside other great people. Here, you’ll have a voice, be challenged to grow and be part of a team driven by curiosity, bold thinking and ownership. 

Come raise the bar of Canadian fashion with us. 

As a Cloud Data Engineer, you will play a key role in advancing RCL's data strategy by designing, building and optimizing cloud-based data solutions. You will work closely with business and technology partners to develop scalable data platforms, engineer data pipelines and enable advanced analytics and machine learning initiatives across the organization.

• Design, develop and maintain a cloud-based data warehouse that consolidates and supports enterprise data assets.
• Build and optimize data pipelines that support data integration, reporting, analytics and activation across internal and external systems.
• Collaborate with business stakeholders to gather requirements and translate them into scalable, well-architected cloud solutions.
• Support the design, testing, deployment and ongoing enhancement of cloud data platforms.
• Develop data models, transformation processes and frameworks that ensure data quality, reliability and accessibility.
• Engineer solutions that support the development and deployment of machine learning and advanced analytics applications.
• Create and maintain technical documentation, project plans, specifications and solution designs.
• Develop, test and support custom integrations, cloud-based development and data migration initiatives.
• Contribute to data governance standards, best practices and operational procedures.
• Act as a cloud data subject matter expert, mentoring team members and supporting the evolution of RCL's enterprise data roadmap.

• College diploma or university degree in Computer Science, Software Engineering or a related field.
• 3+ years of experience designing and developing large-scale data solutions.
• Hands-on experience with Snowflake, Microsoft Azure, or Google Cloud Platform (GCP).
• Strong understanding of data warehousing concepts, data lakes, dimensional modeling and reporting schema design.
• Experience working with relational and NoSQL databases, ETL/ELT processes and analytics platforms.
• Proven experience building, deploying and supporting cloud-based data pipelines and workloads.
• Excellent analytical, troubleshooting and problem-solving skills.
• Strong communication and collaboration abilities.
• Ability to work effectively in a fast-paced, cross-functional environment.
• Bilingual French and English to communicate with teams and stakeholders across Canada

What Sets Us Apart:

• Ultimate Flexibility*: Enjoy a hybrid work environment that ensures the perfect balance between work and personal life.
• Well-Being First: Access a comprehensive benefits program designed to take care of you.
• Flexible Time Off*: Paid leave, sick days, and vacation time to recharge and spend quality time with loved ones.
• Exclusive Discounts*: Enjoy 50% off regular-priced items from PENN. Penningtons, Reitmans, and RW&CO.
• Referral Rewards*: Refer your professional network and earn a bonus for helping us grow our talented team
• Growth opportunities*: Annual bonuses, career advancement, and tuition reimbursement to help you reach your professional goals.

*Certain conditions apply

Total rewards are aligned with your employment status, offering different perks depending on whether you're full-time, part-time, or under contract.

Reitmans (Canada) Limited is an equal opportunity employer committed to a diverse, inclusive, and accessible workplace where everyone belongs. If you are contacted for an employment opportunity, please advise us of any accommodation required throughout the recruitment process. All information provided will be kept confidential and used solely to support an accessible candidate's experience.

The use of Artificial Intelligence may be used for candidate screening purposes.

We thank all applicants. Only selected candidates will be contacted.