Senior QA Engineer - ETL Data Migration

Job Title: Contract Senior QA Engineer – Data Analysis
Contract Length: 12 Months (with potential extension)
Day Rate: Up to £475 per day (Inside IR35)
Start Date: ASAP

I'm seeking a highly skilled Senior QA Engineer with strong experience in data migration, analysis, quality and validation to join an outstanding flagship digital team on a contract basis. You’ll play a key role in ensuring the accuracy, reliability, and performance of their data pipelines and analytics products.

This is an excellent opportunity to work with a cross-functional team of engineers, analysts, and data scientists in a fast-paced environment where quality and precision are critical.

• Design, develop, and execute test plans for ETL pipelines, data transformations, and analytics products

• Develop automated tests and validation tools for data integrity, accuracy, completeness, and performance

• Identify, document, and track defects in large-scale data systems

• Work closely with data engineers, product managers, and business stakeholders to define test requirements

• Conduct root cause analysis of data issues and drive resolution

• Ensure compliance with data governance and quality standards

• Contribute to CI/CD processes with automated data testing

• 5+ years of experience in QA or Test Engineering, with a focus on data products or platforms

• Strong knowledge of SQL and experience with large-scale relational and/or NoSQL databases

• Experience testing data pipelines (ETL/ELT), preferably with tools like Apache Airflow, dbt, Spark, or similar

• Proficiency in Python or similar scripting language for test automation

• Experience with cloud platforms (AWS, GCP, or Azure), especially in data-related services

• Familiarity with data warehousing concepts (e.g., Snowflake, BigQuery, Redshift)

• Strong understanding of data governance, data profiling, and quality metrics

• Excellent problem-solving and communication skills

• Ability to work independently and as part of a distributed team

• Experience in a regulated or highly data-sensitive environment (e.g., fintech, healthcare)

• Exposure to tools like Great Expectations, Monte Carlo, or Soda

• Background in statistical or analytics QA

InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.