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Senior QA Engineer - ETL Data Migration


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Reference GCPCONT
Sector IT | Telecoms Jobs
Salary £450 to £500 Per Day
Town/City London
Locations London, South East, UK
Job Type Temporary
Date Posted 24th Jun

Shortlist Apply Now

Job Description


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

About the Role

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.


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)

 

Employer Details


Employer: ECOM
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