Test Engineer - Newcastle Upon Tyne

• We design, develop, and maintain automated test frameworks to improve testing efficiency and coverage.
• We analyse and interpret test results, identifying risks, issues, and areas for improvement.
• We produce clear reports on testing activities, outcomes, and associated risks.
• We automate data validation and application testing processes across distributed systems.
• We investigate production issues using data analysis to identify root causes.
• We work with orchestration tools such as Apache Airflow to monitor workflows and troubleshoot failures.
• We validate data using tools such as Jupyter Notebooks and Amazon Athena.
• We analyse data across multiple formats to ensure integrity and correctness of new functionality.
• We support CI/CD practices using Git-based workflows and pipeline automation.
• We participate in infrastructure and deployment activities, including containerisation and Infrastructure as Code.
• We collaborate with cross-functional teams to translate business requirements into testable solutions.
• We mentor and guide team members on testing methodologies and best practices.

Technologies:

• Airflow
• Big Data
• Bash
• CI/CD
• Cloud
• Docker
• Git
• GitLab
• Support
• Jupyter
• Java
• LESS
• Python
• SQL
• Spark
• Terraform

• We need active SC clearance.
• We need proven experience as a Test Engineer supporting data and application solutions.
• We need strong technical expertise in automation, data validation, and production analysis.
• We need proficiency in Python and SQL, plus at least one additional programming language such as Java.
• We need experience with scripting languages such as Bash.
• We need a strong understanding of automated testing frameworks and methodologies.
• We need hands-on experience with Apache Airflow and log analysis.
• We need familiarity with data processing tools such as Apache Spark.
• We need experience working with cloud platforms and services, including monitoring and logging, storage and data services, and compute and container services.
• We need experience with CI/CD pipelines and version control systems such as GitLab.
• We need knowledge of Infrastructure as Code, such as Terraform.
• We need familiarity with Docker and containerised environments.
• We need strong data analysis skills, including working with structured and semi-structured data.
• We need experience validating and querying data using tools such as Athena and notebooks.
• We need understanding of data modelling concepts, including dimensional models and slowly changing dimensions.
• We need the ability to generate realistic test data for different scenarios.
• We need knowledge of distributed data platforms and big data environments such as EMR.
• We need awareness of encryption principles, including client-side and server-side.
• We need strong analytical and problem-solving abilities.
• We need excellent communication skills and the ability to present findings clearly.
• We need a proactive approach to identifying and mitigating risks.
• We need the ability to mentor and support less experienced team members.
• We need a collaborative mindset and experience working in agile delivery environments.