QA Automation Engineer – Strong Data Experience

QA Automation Engineer – Strong Data Experience

This organisation builds cloud-based technology platforms that simplify complex operations and improve day-to-day experiences for large institutions and their users. By combining data, analytics, and modern software engineering, the company delivers reliable, insight-driven solutions at scale.

What we are looking for:

We are seeking an experienced QA Automation Engineer with strong data expertise to join a growing data and analytics function. This role is ideal for someone who enjoys working closely with data engineers, analysts, and developers, and who takes ownership of quality across complex data-driven systems.

Responsibilities

• Design and evolve automated testing frameworks covering data pipelines, APIs, analytics platforms, and applications
• Own quality practices for data platforms, influencing standards and improving testing approaches across teams
• Validate data correctness, consistency, and performance across batch and streaming workloads
• Test large-scale Spark-based pipelines, including transformation logic and outputs
• Work closely with product, engineering, and analytics teams to define test strategies and acceptance criteria
• Verify front-end applications and backend services built on modern web and cloud technologies
• Ensure reporting and dashboards deliver accurate, reliable insights
• Embed automated testing into CI/CD pipelines and cloud deployments
• Track and report quality KPIs, contributing to continuous improvement
• Support testing across development, UAT, and post-release phases, providing clear, actionable feedback

Skills & Experience

• Strong background in QA automation within data teams
• Several years’ experience testing data-intensive platforms or distributed systems
• Proficiency in Python for test automation and data validation
• Advanced SQL skills for reconciliation, transformation, and performance checks
• Hands-on testing experience with big data technologies and cloud platforms (Azure preferred)
• Comfortable working in Agile environments (Scrum / Kanban)
• Experience with source control and modern DevOps workflows
• Confident communicator with strong written and verbal English

Nice to Have:

• Experience with Databricks, Spark, Delta Lake, streaming data, or similar technologies
• Familiarity with Power BI or analytics/report testing
• Exposure to CI/CD tools, infrastructure automation, or cloud-native deployments