Test Engineer - Data | 11725-1
Randstad UK
Manchester, United Kingdom
2 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
£ 135KJob location
Manchester, United Kingdom
Tech stack
API
Amazon Web Services (AWS)
Data Validation
ETL
Relational Databases
Software Debugging
Microsoft SQL Server
SQL Databases
GIT
Kubernetes
Data Pipelines
Docker
Job description
We are seeking a proactive Test Engineer - Data to join our Data Finance team. In this role, you will partner with engineers and product managers to enhance the quality, reliability, and trustworthiness of financial data flows and data products. You will not just test for the team, but with the team, coaching engineers to own their quality outcomes., * Strategy & Coaching: Set a strong testing strategy in line with organizational quality standards and coach teams on data testing practices.
- Data Validation: Design and implement effective validation for data pipelines, APIs, and services to ensure data is correct, complete, and timely.
- Observability: Drive observability using monitoring, alerts, and dashboards to validate behavior and data quality in production.
- Compliance: Operationalize requirements from regulated environments (eg, SOX, GDPR/PII, DMA) into daily test strategies and documentation.
- Automation: Design test approaches covering unit, component, contract, and integration levels, ensuring validation is integrated into CI/CD pipelines.
Requirements
- Data Testing: Proven experience testing data-intensive Back End systems, ETL/ELT processes, and financial data feeds.
- SQL Mastery: Strong proficiency in relational databases, ideally Microsoft SQL Server, including writing and optimizing complex SQL for data investigation.
- Technical Ecosystem: Experience with modern engineering tools such as Git, $CI/CD$, Docker, Kubernetes, and AWS (or similar cloud platforms).
- Regulatory Knowledge: Experience working in or around regulated environments (SOX, GDPR, DMA) or a strong willingness to learn.
- Communication: Exceptional ability to explain technical testing and data quality concepts to both technical and non-technical stakeholders.
- Problem Solving: Ability to use structured root-cause analysis (eg, "5 whys") to debug complex data issues.