

Manual Data QA
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Manual Data QA Analyst on a fixed-term contract, focusing on data integrity within Databricks. Key skills include SQL, data validation, and experience in consumer-facing industries. Familiarity with Azure and Data Lakehouse architectures is advantageous.
π - Country
United Kingdom
π± - Currency
Unknown
-
π° - Day rate
-
ποΈ - Date discovered
September 30, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Fixed Term
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π - Security clearance
Unknown
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π - Location detailed
London
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π§ - Skills detailed
#Data Quality #Data Lakehouse #Data Integrity #Automation #Microsoft Power BI #Data Lake #BI (Business Intelligence) #Scala #Data Migration #Databricks #Data Engineering #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Documentation #Strategy #Azure #Complex Queries #Leadership #Migration #Cloud
Role description
Vacancy No
VN957
Location
Employment Type
Perm
Basis
Fixed Term Duration
Overview
Join Chambers and Partners as a Manual Data QA Analyst and play a key role in ensuring the integrity of our data across industry-leading products and platforms. Youβll be responsible for validating complex data flows, particularly within our Databricks environment through meticulous manual testing. This is a critical position within our growing Technology & Data team, ideal for someone passionate about data quality and eager to make an impact in a globally respected organisation. Experience with Power BI and/or Data Lakehouse architectures would be a strong advantage.
Main Duties and Responsibilities
Testing Execution: Conduct detailed manual tests to validate data flows and processing within the Databricks platform. Ensure that data integrity, accuracy, and consistency are maintained across all stages of data handling.
Strategy and Planning: Assist in developing and defining the QA testing strategy and test plans specifically tailored for continuous data verification and validation.
Issue Resolution: Identify, document, and track data discrepancies and inconsistencies. Collaborate with development and data engineering teams to facilitate the resolution of issues.
Quality Standards: Ensure all tests and procedures meet company-wide QA standards and advocate for best practices in manual testing environments.
Reporting: Provide comprehensive reports on test results, including documentation of detected data anomalies and assessment outcomes.
Collaboration: Work closely with other QA team members, data engineers, and product managers to ensure seamless integration of new data solutions into existing systems.
Skills and Experience
Proven experience in testing data migrations, database implementations, and Data Lake environments.
Familiarity with cloud environments, especially Azure, is highly desirable.
Strong knowledge of SQL and experience in writing complex queries for data validation and testing.
Proficiency in data validation techniques and the ability to identify and troubleshoot data quality issues.
Experience or familiarity with integrated test automation tools and frameworks.
Familiarity with performance testing methodologies and tools for assessing database load and system scalability.
Excellent analytical skills and attention to detail, ensuring high-quality testing and accurate results.
Strong communication and collaboration skills to work effectively with cross-functional teams.
Person Specification
Worked in a consumer facing industry (ideally publishing, media or data)
Able to initiate and deliver test improvement programmes, enhancing ways of working and fundamentals for the team
Passionate about technology and the quality of solutions we are designing.
Able to clearly communicate with business and technology stakeholders.
Attention to Detail, focused on the finer details that make the difference.
Delivery Focus, pragmatic and driven to get solutions live.
Able to inspire, providing thought leadership in the testing domain.
A Proactive attitude. A self starter who seeks out opportunities for yourself and your team.
Awareness of industry and consumer trends
Awareness of and the ability to manage business and technology expectations.
Able to build strong personal relationships and trust.
Able sell ideas or visions. Influence and advise stakeholders at all levels
Benefits
Applications Close Date
Job Description
Equal Opportunity Statement
Vacancy No
VN957
Location
Employment Type
Perm
Basis
Fixed Term Duration
Overview
Join Chambers and Partners as a Manual Data QA Analyst and play a key role in ensuring the integrity of our data across industry-leading products and platforms. Youβll be responsible for validating complex data flows, particularly within our Databricks environment through meticulous manual testing. This is a critical position within our growing Technology & Data team, ideal for someone passionate about data quality and eager to make an impact in a globally respected organisation. Experience with Power BI and/or Data Lakehouse architectures would be a strong advantage.
Main Duties and Responsibilities
Testing Execution: Conduct detailed manual tests to validate data flows and processing within the Databricks platform. Ensure that data integrity, accuracy, and consistency are maintained across all stages of data handling.
Strategy and Planning: Assist in developing and defining the QA testing strategy and test plans specifically tailored for continuous data verification and validation.
Issue Resolution: Identify, document, and track data discrepancies and inconsistencies. Collaborate with development and data engineering teams to facilitate the resolution of issues.
Quality Standards: Ensure all tests and procedures meet company-wide QA standards and advocate for best practices in manual testing environments.
Reporting: Provide comprehensive reports on test results, including documentation of detected data anomalies and assessment outcomes.
Collaboration: Work closely with other QA team members, data engineers, and product managers to ensure seamless integration of new data solutions into existing systems.
Skills and Experience
Proven experience in testing data migrations, database implementations, and Data Lake environments.
Familiarity with cloud environments, especially Azure, is highly desirable.
Strong knowledge of SQL and experience in writing complex queries for data validation and testing.
Proficiency in data validation techniques and the ability to identify and troubleshoot data quality issues.
Experience or familiarity with integrated test automation tools and frameworks.
Familiarity with performance testing methodologies and tools for assessing database load and system scalability.
Excellent analytical skills and attention to detail, ensuring high-quality testing and accurate results.
Strong communication and collaboration skills to work effectively with cross-functional teams.
Person Specification
Worked in a consumer facing industry (ideally publishing, media or data)
Able to initiate and deliver test improvement programmes, enhancing ways of working and fundamentals for the team
Passionate about technology and the quality of solutions we are designing.
Able to clearly communicate with business and technology stakeholders.
Attention to Detail, focused on the finer details that make the difference.
Delivery Focus, pragmatic and driven to get solutions live.
Able to inspire, providing thought leadership in the testing domain.
A Proactive attitude. A self starter who seeks out opportunities for yourself and your team.
Awareness of industry and consumer trends
Awareness of and the ability to manage business and technology expectations.
Able to build strong personal relationships and trust.
Able sell ideas or visions. Influence and advise stakeholders at all levels
Benefits
Applications Close Date
Job Description
Equal Opportunity Statement