Data Warehouse Test Analyst
TXP
Brierley Hill (DY5)
Contract
Published: 8 hours ago
£350.00 - £440.00 per day + Inside IR35
Brierley Hill, United Kingdom
2 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
£ 114KJob location
Brierley Hill, United Kingdom
Tech stack
Azure
Data Validation
ETL
Data Warehousing
Python
Regression Testing
T-SQL
Microsoft Fabric
Data Lake
PySpark
Operational Systems
Databricks
Job description
Our client is looking for a Data Warehouse Test Analyst who will play a key role in validating data from multiple ERP and operational systems, testing ELT pipelines, and ensuring business rules and transformations are applied correctly.
What you'll do:
- Validate data ingested from ERP, customer service and operational platforms.
- Design and run data quality, reconciliation and source to target tests.
- Test ELT pipelines built in Fabric Notebooks using PySpark/Python.
- Validate incremental loads, full refreshes, error handling and pipeline performance.
- Identify, document and track defects through to resolution.
- Support regression testing and UAT with business users.
- Translate business and technical specifications into clear test cases.
- Contribute to data quality rules, standards and testing templates.
- Provide documentation to support audit and compliance activities.
Requirements
- Strong T-SQL for data validation and analysis.
- Experience with PySpark or Python for data testing.
- Background in testing data warehouses, data lakes or analytics platforms.
- Solid understanding of ETL/ELT concepts and SCDs.
- Experience validating data from ERP systems (e.g., finance, supply chain, manufacturing).
- Exposure to Azure data tools (Synapse, Data Factory, Fabric, Databricks).
- Familiarity with Microsoft Fabric Lakehouse (Desirable)
- Strong understanding of data quality dimensions.
About the company
At TXP, we modernise businesses, at pace and scale
We solve complex challenges through a connected approach that brings together technology and people.