Test Engineer - Data | 11725-1
Posted 1 week ago by Randstad Technologies Recruitment
£65 Per hour
Undetermined
Hybrid
Manchester, Greater Manchester
Summary: The Test Engineer - Data will join the Data Finance team to enhance the quality and reliability of financial data flows and products. This role involves collaborating with engineers and product managers, coaching teams on quality outcomes, and implementing effective testing strategies. The position requires a proactive approach to data validation, observability, and compliance within regulated environments. The role is based in Manchester with a hybrid working arrangement of two days in the office per week.
Key Responsibilities:
- Set a strong testing strategy in line with organizational quality standards and coach teams on data testing practices.
- Design and implement effective validation for data pipelines, APIs, and services to ensure data is correct, complete, and timely.
- Drive observability using monitoring, alerts, and dashboards to validate behavior and data quality in production.
- Operationalize requirements from regulated environments (e.g., SOX, GDPR/PII, DMA) into daily test strategies and documentation.
- Design test approaches covering unit, component, contract, and integration levels, ensuring validation is integrated into CI/CD pipelines.
Key Skills:
- Proven experience testing data-intensive backend systems, ETL/ELT processes, and financial data feeds.
- Strong proficiency in relational databases, ideally Microsoft SQL Server, including writing and optimizing complex SQL for data investigation.
- Experience with modern engineering tools such as Git, CI/CD, Docker, Kubernetes, and AWS (or similar cloud platforms).
- Experience working in or around regulated environments (SOX, GDPR, DMA) or a strong willingness to learn.
- Exceptional ability to explain technical testing and data quality concepts to both technical and non-technical stakeholders.
- Ability to use structured root-cause analysis (e.g., "5 whys") to debug complex data issues.
Salary (Rate): £65/hour
City: Manchester
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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.
Location:Manchester(2 Days per week in the office)Duration: 6 Months
Key Responsibilities
- 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 (e.g., 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.
Required Skills & Qualifications
- Data Testing: Proven experience testing data-intensive backend 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 (e.g., "5 whys") to debug complex data issues.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.