Data Quality Engineer

We are seeking a Data Quality Engineer to design, implement, and manage an enterprise‑scale data quality framework within a Databricks environment. The role will focus on profiling, validation, monitoring, cleansing, remediation, and reporting across a large and complex data estate.

• Configure and maintain Databricks, Delta Lake, Unity Catalog, and PySpark frameworks.
• Establish scalable data quality controls and deployment standards.
• Optimise platform performance for large‑scale profiling and rule execution.

• Develop profiling solutions to assess completeness, accuracy, consistency, validity, timeliness, and uniqueness.
• Analyse data quality issues including nulls, duplicates, invalid values, schema drift, and outliers.
• Produce baseline quality assessments and recommendations.