Data Quality Engineer

About the role

We are seeking a highly skilled Data Quality Engineer to design, implement, and maintain data quality frameworks that support our clients' data and analytics initiatives. The role bridges technical expertise with business understanding to ensure data accuracy, completeness, consistency, and reliability across enterprise platforms.

Key responsibilities

• Collaborate with business stakeholders, data architects, governance teams, and data engineers to gather and analyse data quality requirements.
• Design, develop, and maintain data quality frameworks, validation rules, and monitoring processes for enterprise data assets.
• Profile and analyse data sources to identify quality issues, anomalies, and improvement opportunities.
• Define, implement, and maintain data quality rules covering completeness, accuracy, consistency, uniqueness, validity, and timeliness.
• Translate business requirements and critical data elements into measurable data quality controls.
• Implement automated data validation, reconciliation, and monitoring processes within data pipelines.
• Support data governance initiatives through metadata management, data lineage documentation, data cataloguing, and quality reporting.
• Monitor data‑quality performance indicators, investigate root causes, and drive remediation actions.
• Ensure compliance with organisational data‑governance standards, regulatory requirements, and industry best practices.

Required profile

• Strong technical expertise in data quality management and data‑governance concepts.
• Ability to understand and translate business processes into scalable data‑quality solutions.
• Experience working closely with data architects, data engineers, business analysts, and governance teams.
• Excellent analytical skills for profiling data and identifying quality issues.

Required skills