Test Engineer (Data & Automation)
Overview
We are seeking an experienced Test Engineer to support the delivery of high-quality data and application solutions. This role focuses on automation, data validation, and production analysis within a modern cloud-based environment. You will play a key role in ensuring system reliability, improving testing frameworks, and driving best practices across engineering teams.
This is a collaborative position requiring strong technical expertise, analytical thinking, and the ability to mentor others while working across complex data platforms.
Key Responsibilities
Design, develop, and maintain automated test frameworks to improve testing efficiency and coverage
Analyse and interpret test results, identifying risks, issues, and areas for improvement
Produce clear reports on testing activities, outcomes, and associated risks
Automate data validation and application testing processes across distributed systems
Investigate production issues using data analysis to identify root causes
Work with orchestration tools (e.g., Apache Airflow) to monitor workflows and troubleshoot failures
Validate data using tools such as Jupyter Notebooks and Amazon Athena
Analyse data across multiple formats to ensure integrity and correctness of new functionality
Support CI/CD practices using Git-based workflows and pipeline automation
Participate in infrastructure and deployment activities, including containerisation and In...
Overview
We are seeking an experienced Test Engineer to support the delivery of high-quality data and application solutions. This role focuses on automation, data validation, and production analysis within a modern cloud-based environment. You will play a key role in ensuring system reliability, improving testing frameworks, and driving best practices across engineering teams.
This is a collaborative position requiring strong technical expertise, analytical thinking, and the ability to mentor others while working across complex data platforms.
Key Responsibilities
Design, develop, and maintain automated test frameworks to improve testing efficiency and coverage
Analyse and interpret test results, identifying risks, issues, and areas for improvement
Produce clear reports on testing activities, outcomes, and associated risks
Automate data validation and application testing processes across distributed systems
Investigate production issues using data analysis to identify root causes
Work with orchestration tools (e.g., Apache Airflow) to monitor workflows and troubleshoot failures
Validate data using tools such as Jupyter Notebooks and Amazon Athena
Analyse data across multiple formats to ensure integrity and correctness of new functionality
Support CI/CD practices using Git-based workflows and pipeline automation
Participate in infrastructure and deployment activities, including containerisation and In...
