Data QA Engineer

freeC's Client

Client Description

The client operates in the insurance sector and is delivering a strategic technology transformation program focused on building a modern, scalable cloud-based data platform. The project involves migrating existing processes from a legacy .NET environment to a new data & analytics platform within the Microsoft ecosystem. A key objective of the initiative is ensuring high data quality, reliability of ETL processes, and integration with multiple partner and downstream systems.

Technical Requirements

<Must Have>

• Fabric knowledge
• Strong SQL
• Data and ETL testing experience
• Azure DevOps automation
• Understanding of ADF and OneLake
• Databricks or Synapse experience is also acceptable 
• Extensive experience as a QA Engineer / Test Engineer.
• Experience testing ETL processes and data pipelines.
• Practical knowledge of end-to-end and regression testing.
• Experience testing REST APIs.
• Ability to perform data quality validation (data quality checks).
• Strong SQL knowledge for data analysis and verification.
• Experience designing and maintaining automated tests and testing frameworks.
• Strong test automation experience.
• Experience validating integration processes and data flows.
• Ability to analyze logs, monitoring solutions, and identify root causes of defects.
• Experience working in Agile teams (Scrum).
• Familiarity with AI-Assisted SDLC practices and tools.

Nice to Have

• Experience in migration projects (legacy → new platform).
• Knowledge of cloud-based data & analytics solutions (Microsoft ecosystem).
• Experience with test automation for data pipelines or APIs.
• Experience working in highly regulated industries (e.g., insurance or financial services).
• Experience using AI-supported tools within QA and software delivery processes.

Responsibilities

• Design and execute end-to-end tests for ETL processes, including ingestion, transformation, enrichment, routing, and output layers.
• Prepare, maintain, and enhance regression tests for data pipelines and API integrations.
• Design and maintain the quality framework, including automated test coverage, pipeline validation, and regression assurance.
• Test inbound and outbound API integrations used for communication with downstream systems.
• Validate data quality, including completeness, consistency, business correctness, and duplicate verification.
• Verify the correctness of process migrations from legacy systems to the new platform.
• Analyze logs, monitoring data, and alerts to identify defects, anomalies, and bottlenecks.
• Collaborate closely with Data Engineers, Architects, and development teams.
• Participate in defining and enhancing the testing strategy for the data platform.
• Support QA automation initiatives and promote testing best practices.
• Leverage AI-assisted tools supporting software quality and delivery processes.
• Report defects and participate in root cause analysis activities.
• Contribute to the continuous improvement of quality assurance processes across the project.

Additional Important Information

• Project delivered in an international environment.
• Opportunity to work on a modern enterprise data and integration platform within the Microsoft ecosystem.
• Close collaboration with Data Engineering teams and solution architects.
• Strong focus on data quality, test automation, and ETL process reliability.
• Environment supporting AI-assisted software development and quality assurance practices.

Language: English proficiency required: minimum B2+

• Fully-remote (UK time zone)
• Open for 2nd job if you can arrange your time effectively
• NET salary (PIT will be covered by the company)