Senior Data Manual Tester

About Us:

Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs.

It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future.

We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose.

About You:

You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values.

The Role:

The Senior Data/Manual Tester plays a key role in establishing and maintaining data quality frameworks, overseeing data quality issue logs, and coordinating the design and execution of data quality validation checks. The role focuses on managing data quality outcomes and ensuring issues are tracked, prioritised, and resolved effectively. While the technical implementation of automated data quality checks within the EM Data Store is delivered by internal Data Analytics Engineers, this role works closely with data engineering teams to define requirements and guide the development of appropriate automated controls. A strong understanding of data quality principles and sufficient technical knowledge are required to collaborate effectively and ensure data quality standards are met.

Requirements

Key Responsibilities:

• Define and maintain data quality frameworks, standards, and validation rules
• Manage data quality issue logs, including prioritisation, tracking, and resolution
• Design and coordinate data quality validation checks (manual and automated)
• Partner with Data Analytics Engineers to define requirements for automated data quality controls
• Review data quality outcomes, analyse trends, and report issues and risks
• Collaborate with business and data teams to resolve data quality issues and drive improvements
• Analysing test requirements, designing and producing reusable test scripts.
• Creating and managing test regression packs.
• Overcoming obstacles, such as working with the team on clarification of requirements or seeing bugs through to resolution to deliver quality testing on time.
• Analysing test results and updating test suites as needed to ensure accuracy and coverage.
• Identifying, documenting, and tracking defects to resolution while ensuring root cause analysis is conducted and preventive measures are implemented.
• Defining and implementing key test KPIs to ensure high quality standards are achieved
• Managing key stakeholders, developing and managing ongoing relationships.
• Advocating for best practices in testing and quality assurance, driving continuous improvement in testing processes and outcomes.
• Demonstrate a strong understanding of Agile methodologies

Key Skills & Experience:

• Strong understanding of data quality principles (accuracy, completeness, consistency, timeliness, validity)
• Proven experience in data testing / data quality assurance, including manual validation techniques
• Experience managing data quality issues, defect logs, and remediation workflows
• Ability to define data quality rules and validation requirements for automated controls
• Working knowledge of data platforms, data warehouses, and data pipelines
• Ability to collaborate effectively with data engineering and analytics teams
• Experience analysing data quality results and producing clear reporting and insights
• Strong stakeholder engagement, communication, and prioritisation skills

Benefits

• Competitive Salary

• 25 Days Annual Leave + Bank Holidays
• Flexibility to work from home
• 10 days allocated for development training per year
• Generous Discretionary Bonus
• Statutory & Contributory Pension
• Private Healthcare Cover
• Discounted Gym Membership
• Enhanced Parental Leave
• Paid Fertility Leave
• Cycle to Work and Electric Vehicle schemes
• Access to Employee Assistance Programme (EAP)
• Annual Away Days
• Monthly Company Socials

Equality & Diversity:

Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics.

Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.