Requisition ID: 191441
Career Group: Corporate Office Careers
Job Category: EDO-Mktg. Loyalty and Digital Data
Travel Requirements: 0 - 10%
Job Type: Full-Time
Country: Canada (CA)
Province: Ontario
City: Mississauga
Location: Tahoe Office
Embark on a rewarding career with Sobeys Inc., celebrated among Canada’s Top 100 employers, where your talents contribute to our commitment to excellence and community impact.
Our family of 128,000 employees and franchise affiliates share a collective passion for delivering exceptional shopping experiences and amazing food to all our customers. Our mission is to nurture the things that make life better – great experiences, families, communities, and our employees. We are a family nurturing families.
A proudly Canadian company, we started in a small town in Nova Scotia but we are now in communities of all sizes across this great country. With over 1,600 stores in all 10 provinces, you may know us as Sobeys, Safeway, IGA, Foodland, FreshCo, Thrifty Foods, Lawtons Drug Stores or another of our great banners but we are all one extended family.

READY TO MAKE AN IMPACT?

Sobeys is full of exciting opportunities, and we are always looking for bright new talent to join our team! We currently have an opportunity for a Senior Data Quality Engineer in our Enterprise Data Office (EDO) to support our Marketing, Loyalty & Digital business. This position will be based out of Mississauga depending on the successful candidate’s location.

JOB DESCRIPTION

As a Senior Data Quality Engineer with Sobeys, you will:

• Execute on implementing Data Governance and Data Quality Improvements.
• Develop and implement data quality processes to monitor, cleanse, and validate data.
• Identify and resolve data inconsistencies, duplication, and anomalies.
• Collaborate with data owners and stewards to define quality rules and metrics. Support cataloguing of data assets belonging to functional domain; setting correct classifications.
• Work with Data Quality engineer to build data quality dashboards to track data quality issues and improvement initiatives.
• Help define data quality rules and policies associated with Domain data assets.
• Support investigation of Data Quality root causes and remediation.
• Perform data validation across multiple systems to ensure accuracy and integrity.
• Use tools like Snowflake (native services), SQL, Python, or data quality platforms to automate data quality checks.
• Identify business owners to execute data correction activities; engage correct business teams who may need to update their business processes to mediate data quality issues.
• Conduct data profiling to assess the health and structure of data sources.
• Generate data quality reports and dashboards for stakeholders.
• Analyze root causes of data quality issues and recommend preventive solutions.
• Implement and manage data quality tools (e.g. Microsoft Purview)
• Develop scripts and workflows to automate data cleansing and monitoring.
• Integrate quality checks into CI/CD pipelines for data engineering.

Please refer the Job description for details