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- Tasks: Validate and test data pipelines, ensuring accuracy and reliability for business insights.
- Company: Join a forward-thinking company focused on data integrity and quality.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Be the gatekeeper of trusted data, making a real impact on decision-making.
- Qualifications: Strong SQL skills and experience in data testing required.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
The Data Services Tester is responsible for validating the accuracy, reliability, performance, and integrity of enterprise data platforms. This role ensures that data pipelines, transformations, lakehouse structures, and analytical outputs meet business, regulatory, and technical requirements before release to production.
You will work closely with Data Engineers, BI Developers, Analytics Consultants, and Business Stakeholders to assure end-to-end data quality across ingestion, processing, and reporting layers. This role is critical to ensuring trusted data, reliable insights, and confident decision-making. As data platforms scale and complexity grows, the Data Services Tester acts as the final quality gate between raw data and business-critical insight.
Key Responsibilities- Validate and Test end-to-end data pipelines, including ingestion, transformation and storage artefacts
- Perform data reconciliation between source systems and target datasets
- Test Microsoft Fabric pipelines, notebooks, and orchestration workflows
- Validate schema evolution, incremental loads, and data freshness
- Test complex transformations implemented in SQL, notebooks, Power Query and DAX
- Validate business rules, aggregations, calculations, and derived metrics
- Perform functional and integration testing across multiple data layers
- Test Power BI datasets, reports and dashboards for accuracy and consistency
- Validate DAX measures, calculated columns and Power Query logic
- Ensure row-level security (RLS) and semantic model integrity where applicable
- Conduct performance testing on developed workflows
- Identify bottlenecks in SQL, DAX and orchestration layers
- Validate scalability and refresh performance for large datasets
- Test APIs used for data ingestion, integration or consumption
- Support and validate CI/CD pipelines for data and analytics deployments
- Contribute to test automation strategies where appropriate
- Create and maintain Data Test Strategies, test plans and test cases
- Define testing standards, entry/exit criteria, and quality metrics
- Support data governance initiatives by ensuring trusted, auditable data outputs
- Clearly document defects, risks, and recommendations for remediation
- Advanced SQL (complex joins, window functions, performance tuning)
- Lakehouse architectures and Delta tables
- Microsoft Fabric pipelines, notebooks and orchestration testing
- Data reconciliation and validation techniques
- DAX measures and calculations
- Dataset refresh and performance validation
- Integration and functional testing methodologies alongside performance testing and optimisation techniques
- Awareness of CI/CD processes for data platforms
- Test strategy creation and execution in data environments
- Strong understanding of data testing principles
- Experience testing large, complex datasets across multiple systems
- Ability to design tests that validate both technical correctness and business outcomes
- Experience in professional services or consulting environments
- Familiarity with data quality frameworks and governance models
- Test automation tools for data and analytics platforms
- Understanding of regulatory or audit-driven data requirements
- Experience with Agile / Scrum delivery models
- Highly analytical with strong attention to detail
- Confident working with engineers, analysts and non-technical stakeholders
- Comfortable challenging assumptions and identifying data risks
- Structured, methodical, and quality-driven mindset
- Able to work across multiple client or project environments
Data Services Tester employer: Colehouse Group
Contact Detail:
Colehouse Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Services Tester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working as Data Engineers or BI Developers. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your testing projects, especially any work with SQL, DAX, or data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data testing scenarios. Think about how you'd validate data integrity or troubleshoot performance issues. We want you to be ready to impress with your knowledge!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Services Tester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Services Tester role. Highlight your experience with SQL, data validation, and any relevant testing methodologies. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data quality and how your background makes you a great fit for our team. Keep it concise but impactful – we love a good story!
Showcase Relevant Projects: If you've worked on projects involving data pipelines or testing, make sure to mention them. We’re keen to see real examples of your work that demonstrate your analytical skills and attention to detail.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter family!
How to prepare for a job interview at Colehouse Group
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your knowledge of data validation and testing principles. Familiarise yourself with SQL, DAX, and the specific tools mentioned in the job description, like Microsoft Fabric. Being able to discuss these topics confidently will show that you're serious about the role.
✨Prepare for Technical Questions
Expect to face technical questions that assess your understanding of data pipelines, transformations, and performance testing. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss past experiences where you've identified and resolved data issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how your analytical skills led to successful outcomes in previous roles.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that demonstrate your interest in the company and the role. Inquire about their data governance initiatives or how they handle scalability challenges. This shows that you're not just looking for any job, but are genuinely interested in contributing to their success.
