Data Quality Engineer

Job Description

Data Quality Engineer:
On behalf of our Banking client, Procom is searching for a Data Quality Engineer for a contract role. This position is a hybrid position with 1 day onsite at our client’s Toronto office.

Data Quality Engineer - Job Description:
The Data Quality Engineer will be responsible for designing and implementing automated data quality rules and monitoring frameworks across critical data assets. The role involves developing scalable data quality pipelines and establishing alerting processes to ensure data accuracy and integrity, supporting data-driven decision-making and compliance requirements.

Data Quality Engineer - Responsibilities:
• Partner with business stakeholders, data owners, and technology teams to gather and translate data quality requirements into measurable controls.
• Design, develop, test, and implement automated data quality rules and monitoring frameworks.
• Build scalable data quality pipelines that validate data completeness, accuracy, validity, consistency, timeliness, and integrity.
• Establish automated alerting and issue management processes for data quality exceptions.
• Support root cause analysis and remediation efforts by identifying process and data pipeline issues.
• Contribute to data quality standards, methodologies, and best practices across the organization.
• Develop dashboards and reporting solutions to provide visibility into data quality performance.

Data Quality Engineer - Mandatory Skills:
• Bachelor’s degree in Data Analytics, Computer Science, Information Management, Engineering, Mathematics, Statistics, or a related discipline.
• 7+ years of experience in Data Quality, Data Management, Data Governance, Data Analytics, or Data Engineering.
• Experience designing and implementing data quality controls and monitoring solutions.
• Strong SQL and data analysis skills.
• Experience with data quality, observability, governance, or analytics platforms.
• Experience working with relational databases, data warehouses, and cloud-based data platforms.
• Strong stakeholder engagement and communication skills.

Data Quality Engineer – Nice-to-Have Skills:
• Experience with cloud technologies and modern data architectures.
• Experience using Generative AI tools to improve operational processes and analytics.
• Exposure to financial services, risk management, fraud, cyber security, or regulated environments.
• Experience with Python/R.

Data Quality Engineer – Assignment Length:
This is a contract position.

Data Quality Engineer - Start Date:
ASAP.

Data Quality Engineer - Assignment Location:
Toronto, Ontario, Canada. This is a hybrid position with 1 day in the office.

This employer uses both human and technology-assisted tools to support candidate screening and assessment. Final hiring decisions are made by people.