Senior QA Engineer - Data Analysis - Contract
- Location: London, Greater London, England
- Salary: £425 - 450 per day
- Category
- Sector: IT and Digital
- Contract type Contract
- Consultant: Gareth Pike
Job Title: Contract Senior QA Engineer – Data Analysis
Contract Length: 12 Months (with potential extension)
Day Rate: Up to £450 per day (Inside IR35)
Start Date: ASAP
About the Role
I’m seeking a highly skilled Senior QA Engineer with strong experience in data 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.
Key Responsibilities
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
Requirements
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
Nice to Have
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.