Data Quality Engineer - Hybrid

Job title: Data Quality Engineer
Salary: £65,000 - £75,000 + Bonus + Benefits
Location:
Cardiff - Hybrid (3 days per week onsite)
Working Hours: 40 hours per week - Full time
Job Type:
Permanent

A globally recognised organisation is seeking a Data Quality Engineer to support the development of a modern cloud-based data platform.

This position will play a key role in ensuring the reliability, accuracy and performance of data services by implementing effective testing practices and automation capabilities. Working alongside data engineers and development teams, you will help embed quality engineering principles throughout the development lifecycle while supporting the delivery of robust data solutions.

Key Responsibilities

• Develop and maintain automated testing frameworks to validate data pipelines and data platform components
• Identify areas where automation can enhance testing efficiency and coverage
• Collaborate with engineering teams to define testing approaches and quality standards
• Embed automated testing within CI/CD pipelines to support continuous delivery practices
• Perform validation and testing across ETL processes, databases and cloud-based data services
• Investigate data issues within production environments and help drive improvements in data quality
• Maintain clear documentation around testing processes and automation frameworks
• Contribute to improving testing practices and quality standards across the wider programme

Essential Skills - Data Quality Engineer

• Strong hands-on experience in data testing using Python or Py Spark
• Deep understanding of data testing concepts, particularly across ETL and data warehouse environments
• Strong SQL capability with experience testing across relational databases (RDBMS)
• Experience working with databases such as Oracleand the ability to read and modify stored procedures
• Experience implementing BDD testing frameworks such as Cucumber or similar tools
• Experience integrating automated tests into CI/CD pipelines using tools such as Azure Dev Ops, Jenkins or Git Lab
• Knowledge of cloud data platforms such as GCP (Big Query, Dataflow, Cloud Functions) or similar environments
• Experience with at least one programming language such as Java or Java Script
• Experience performing non-functional testing using tools such as JMeter or similar
• Proven experience establishing testing best practices, quality frameworks and automation strategies
• Strong technical troubleshooting skills across Quality Engineering environments
• Excellent stakeholder communication skills with the ability to liaise between engineering teams and business stakeholders
• Experience working within Agile delivery environments and participating in Agile ceremonies
• Experience using test management tools such as Jira and Zephyr
• Strong analytical capability with experience reviewing and validating complex datasets
• Experience mentoring or managing QA team members across multiple products or projects

Desirable Skills -Data Quality Engineer

• Experience implementing or automating testing within cloud-based platforms
• Previous exposure to software development or data engineering environments
• Experience defining or leading test automation strategies and mentoring team members on automation best practices

If you are interested in working on modern data platforms and ensuring high standards of data reliability and testing automation, please apply with a copy of your most up to date CV.