We are seeking an experienced Data Quality Engineer to design, implement, and maintain data quality controls across enterprise data platforms. This role focuses on ensuring data is accurate, complete, consistent, and fit for use across analytics and operational use cases.

Key Responsibilities

• Design and implement data quality frameworks, rules, and validation checks

• Build automated data quality monitoring and alerting solutions

• Identify, analyse, and resolve data quality issues in collaboration with data engineering and business teams

• Define and track data quality metrics and thresholds

• Support root cause analysis and remediation of data quality defects

• Embed data quality practices into data pipelines and platforms

Required Experience

• 5 7 years of experience in data quality, data engineering, or data management roles

• Proven experience implementing data quality controls in data platforms

• Strong understanding of data lifecycle management and data governance principles

Technical Skills

• SQL for data profiling and validation

• Python or similar Scripting languages

• Data quality tools and frameworks

• Experience working with Azure based data platforms

• Data profiling, reconciliation, and anomaly detection techniques

Certifications

• DAMA CDMP or data quality related certifications (preferred)

• Cloud or data management certifications are an advantage

Soft Skills

• Strong analytical and problem solving skills

• Ability to work collaboratively across technical and business teams

• Clear communication of data quality issues and remediation approaches