Senior Software QA Engineer

We are seeking an experienced Senior QA Engineer to design, develop, and maintain automated test suites for ETL pipelines and complex data processing workflows in the healthcare domain (Python, PySpark, Databricks). You will be responsible for ensuring the quality of platforms processing millions of medical records, with a strong focus on business rule validation and data integrity.

The Systems Engineering team is part of the Global Infrastructure & Operations (GIO) and remains one of the most dynamic and fast-growing groups in the organisation. We are passionate about Agile software development and are among the strongest advocates for DevOps and Test-Driven Development (TDD). Our culture promotes autonomy and collaboration, empowering individuals to thrive within self-organising teams. Our work involves processing and analysing a wide range of patient-level healthcare data, which supports solving complex healthcare challenges — from retrospective clinical studies to disease progression modelling. 

In your daily activities, you will collaborate with a team of Architects who design effective solutions, and with the Development team, which ensures the highest standards of software. 

We process over a billion records at a time, our engineers are responsible for the data analysis and construction and optimization of data flow processes. You will build data pipeline using ETL solutions for acquiring, processing and loading medical data into the Databricks using pyspark technologies. 

• →Design and maintain end-to-end validation across UI, REST APIs, SQL databases, and Databricks tables (cross-layer consistency).
• →Build and evolve ETL test automation for bulk/delta/rebulk processing, contract-check workflows, and QC report validation.
• →Implement metric service verification — validate calculated KPIs/metrics against source GDM/DPT data.
• →Develop custom Python libraries and Robot keywords for ADLS, Databricks, data comparison, and healthcare-specific validations.
• →Manage test data pipelines — CSV/JSON fixtures, VM file uploads, ADLS uploads, and environment-specific configuration via Vault.
• →Integrate automated tests into CI/CD (Jenkins) 
• →Ability to oversee and guide junior and mid-level engineers, providing technical direction and mentoring to support their growth 
• →Demonstrate strong attention to UI/UX detail — validate layout, visual consistency, loading states, filters, charts, and KPI presentation so the dashboard is accurate, intuitive, and aligned with clinical user expectations
• →Collaborate closely across disciplines — work effectively with other QAs, Product Owner, ETL/MS/UI developers, and UX designer to align on requirements, clarify acceptance criteria, share test coverage, and resolve defects efficiently across the full data-to-dashboard delivery chain
• →Balance competing priorities across parallel workstreams — plan and execute test coverage across UI, ETL, and MS scopes while multiple features, defects, and releases are in flight

Bachelor’s Degree in Information Technology, Software Engineering, Computer Science, Mathematics, or another related field 

6 years of experience in software testing

• Test Automation: experience with Robot Framework or similar test automation tools
• Programming Languages: Python (intermediate), SQL (advanced), familiarity with Java/Scala beneficial
• Database Technologies: Experience with Azure Data Lake Storage, Azure Databricks
• Version Control: Git, GitHub/GitLab workflows, branch management
• CI/CD Tools: Jenkins, GitLab CI, or similar pipeline tools
• Test case design for complex data workflows
• Defect tracking and management (JIRA, similar tools)
• Container Technologies: Docker, container orchestration basics
• Ability to present complex results in a clear language for both technical and non- 
• technical audience 
• Experience collaborating with teams from Europe, with an understanding of cross-cultural communication and remote delivery dynamics. 
• A great team player mindset. 

• Excellent analytical & troubleshooting skills.            
• Strong collaboration, written and verbal skills. 
• Familiarity with project management concepts, specifically Agile/Scrum  
• Ability to present complex results in a clear language for both technical and non-

technical audience