Our client, a large enterprise with significant data transformation initiatives, is seeking a Data Tester to validate data pipelines, ETL processes, and reporting outputs.
This role is ideal for someone who has excellent SQL capabilities, strong attention to detail, and solid experience working in data-intensive environments.
Key Responsibilities Conduct data validation, reconciliation, and ETL testing across multiple systems.
Write advanced SQL queries to support testing scenarios and data verification.
Analyse large datasets to ensure data accuracy, completeness, and integrity.
Review transformation and mapping documents to validate business rules.
Participate in test planning, execution, and defect triage.
Work closely with data engineers, analysts, and BI teams.
Document test results and contribute to quality improvements across the data landscape.
Support UAT as required.
Required Experience 4+ years experience in data or ETL testing.
Strong SQL/querying skills and familiarity with relational databases.
Experience testing large datasets and complex data flows.
Good understanding of ETL processes and data warehousing concepts.
Strong analytical and problem-solving skills.
Desirable Skills Experience with cloud data platforms (Snowflake, BigQuery, Azure Data Factory).
Knowledge of Python scripting for automation.
Education Degree in Data, IT, or related discipline.
Benefits & Package Contract role with strong extension potential.
Hybrid working model.
How to Apply Please send your CV for immediate consideration.