Senior Data Quality Engineer

You will own the implementation of automated data quality controls and remediation workflows in a Microsoft Purview and Azure environment — from rule authoring and monitoring through to root-cause investigation and resolution, as part of a large enterprise data program.

Responsibilities

• Design and implement automated data quality rules and controls in Microsoft Purview and Azure
• Build monitoring pipelines that detect DQ failures and trigger alerts without manual intervention
• Develop remediation workflows — routing failed records to quarantine, rejection queues, or automated correction steps
• Perform root-cause analysis on DQ incidents and document findings
• Translate business data requirements into quality rules in collaboration with data and business teams
• Maintain data lineage and classification metadata in Purview

Requirements

Hands-on production experience implementing data quality controls

• Practical experience with Microsoft Purview — data catalog, classification, scanning, and quality rules
• Proficiency with Azure data services — ADF, Synapse Analytics, Azure SQL, Databricks
• Experience with quality-rule authoring, monitoring setup, and remediation workflow design
• Strong root-cause analysis skills
• Fluent English — required

Preferred

• CDMP or a relevant Microsoft Azure / Purview certification
• French language proficiency — strong advantage
• Experience with Informatica IDMC, dbt, or similar DQ tooling