Senior QA Engineer - ETL Data Analysis - Contract

Senior QA Engineer - ETL Data Analysis - Contract

Posted 1 week ago by 1750996500

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£500 Per day
Inside
Undetermined
London
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Airflow Apache Airflow Apache Spark BigQuery Cloud Computing Cloud Technology Continuous Integration and Continuous Delivery Data Analysis Data Governance Data Integrity Data Profiling Data Warehousing Extract Transform Load (ETL) Financial Technology (FinTech) Google Cloud Platform (GCP) Microsoft Azure Monte Carlo Methods NoSQL Profiling (Computer Programming) Python (Programming Language) Root Cause Analysis Scripting Snowflake (Data Warehouse) SQL (Programming Language) Stakeholder Management Test Engineering Verification And Validation

Summary: The role of Contract Senior QA Engineer – Data Analysis involves ensuring the accuracy and performance of data pipelines and analytics products within a digital team. The position requires strong expertise in data analysis, quality assurance, and validation. The engineer will collaborate with cross-functional teams to develop and execute test plans, focusing on data integrity and compliance with quality standards. This contract position is for 12 months with a potential extension, offering a competitive day rate.

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

Key Skills:

  • 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

Salary (Rate): £500 per day

City: London

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: inside IR35

Seniority Level: Senior

Industry: IT

Detailed Description From Employer:

Job Title: Contract Senior QA Engineer – Data Analysis
Contract Length: 12 Months (with potential extension)
Day Rate: Up to £500 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.

#ECOM

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