Data Engineer

About The Company
The Home Depot Canada is a leading retailer in the home improvement industry, dedicated to providing customers with quality products, innovative solutions, and exceptional service. As part of The Home Depot family, Canada’s operations emphasize a customer-centric approach, fostering a collaborative and inclusive work environment. The company values innovation, integrity, and sustainability, striving to positively impact communities and the environment while delivering value to shareholders and stakeholders. With a strong focus on growth and technological advancement, The Home Depot Canada continuously invests in its people, processes, and technology to remain at the forefront of the retail industry.
About The Role
We are seeking a highly skilled Data Engineer to join our dynamic team at The Home Depot Canada. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines that organize and transform vast amounts of data to support analytics and strategic decision-making. Leveraging cloud technologies such as Google BigQuery, Python, and advanced AI tools, you will play a critical role in enhancing our data infrastructure and enabling data-driven insights across the organization. The ideal candidate is passionate about innovation, possesses strong technical expertise, and is eager to collaborate with cross-functional teams to deliver high-quality, reliable data solutions. This position offers an exciting opportunity to work in a fast-paced environment where technology and data are pivotal to shaping the future of retail at The Home Depot Canada.
Qualifications

• Bachelor’s degree in Computer Science, Engineering, Statistics, Applied Mathematics, or a related technical/quantitative field
• 3-5 years of experience in data engineering or a related field
• Proficiency in SQL and Python programming languages
• Hands-on experience with Google Cloud Platform services and big data technologies such as BigQuery, Snowflake, or Redshift
• Knowledge of AI and machine learning tooling, including Vertex AI, Gemini, NotebookLM, and GitHub Copilot
• Experience building and maintaining complex ETL pipelines and designing stored procedures
• Strong understanding of data warehousing concepts and large-scale data management
• Relevant technical certifications (preferred but not mandatory): Google Professional Data Engineer, AWS Certified Big Data - Specialty, Microsoft Certified: Azure Data Engineer Associate
• Excellent problem-solving, communication, and organizational skills
• Ability to adapt quickly in a fast-paced, collaborative environment

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes for both structured and unstructured data sources
• Build and optimize tables, views, and data models to support dashboards, self-service analytics, and reporting needs
• Leverage Google BigQuery, Python, and stored procedures to develop efficient data solutions and optimize complex queries
• Integrate advanced AI tools to automate workflows, enhance data insights, and build next-generation analytics capabilities
• Ensure data quality, governance, and high performance across large datasets through continuous monitoring and optimization
• Automate data processes to improve efficiency and maintain data integrity across the customer experience
• Identify bottlenecks and implement process improvements using modern data engineering frameworks and tools
• Collaborate with business teams, data analysts, and technology partners to deliver reliable, actionable data solutions
• Prepare data for reporting, dashboards, and scorecards, and support ad hoc data analysis requests
• Communicate complex technical concepts effectively to non-technical stakeholders to ensure alignment with organizational goals

Benefits

• Competitive base salary within the range of $60,000 - $90,000
• Semi-annual performance bonuses based on business results
• Deferred Profit-Sharing Program to support retirement savings
• Comprehensive paid benefits package
• 15% discount on Home Depot stock purchases
• Merit-based salary increases and career growth opportunities
• Supportive and inclusive work environment that promotes learning and development

Equal Opportunity
The Home Depot Canada is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are valued and respected. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other protected status. All qualified applicants will receive consideration for employment without regard to these factors. We encourage individuals from all backgrounds to apply and join our team in shaping the future of retail.