Data QA Engineer - Data Quality & ETL (Hybrid)

La Fosse; Manchester; Hybrid; GBP 61,000 - 75,000; Full time

Job summary

La Fosse is partnering with a financial services organisation to recruit a Data QA into their established data team. This is an exciting opportunity to join as the first dedicated Data QA, taking ownership of data quality assurance across a growing volume of incoming data, helping to mitigate risk and ensure the integrity, accuracy, and reliability of key business data.

The role is permanent in Manchester with hybrid working 1 to 2 days per week in the office.

Qualifications

• Hands-on test automation experience using Python or similar technologies.
• Strong SQL skills for data validation, reconciliation and root cause analysis.
• Experience testing data warehouses, data lakes and ETL/data pipelines.
• Exposure to Azure data services and modern data platforms such as Synapse and Snowflake.
• Understanding of data quality, data integrity and reconciliation testing.
• Knowledge of loan servicing and lifecycle data, including arrears, recoveries and asset resolution
• Strong experience across functional, regression, integration and performance testing, with full defect lifecycle management.

Responsibilities

• Hands-on test automation experience using Python or similar technologies.
• Strong SQL skills for data validation, reconciliation and root cause analysis.
• Experience testing data warehouses, data lakes and ETL/data pipelines.
• Exposure to Azure data services and modern data platforms such as Synapse and Snowflake.
• Understanding of data quality, data integrity and reconciliation testing.
• Knowledge of loan servicing and lifecycle data, including arrears, recoveries and asset resolution
• Strong experience across functional, regression, integration and performance testing, with full defect lifecycle management.

Skills

Python

SQL

Data testing

ETL

Azure data services

Synapse

Snowflake

Data quality

Loan servicing data

Job description

La Fosse is partnering with a financial services organisation to recruit a Data QA into their established data team. This is an exciting opportunity to join as the first dedicated Data QA, taking ownership of data quality assurance across a growing volume of incoming data, helping to mitigate risk and ensure the integrity, accuracy, and reliability of key business data.

The role is permanent in Manchester with hybrid working 1 to 2 days per week in the office.