Quality Assurance Engineer

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Quality Assurance Engineer

Apply locations London Full time Posted 30+ Days Ago Job requisition id R

Who are we?

Howden is a collective - a group of talented and passionate people around the world. We push the boundaries of insurance and are united by a shared passion and no-limits mindset. Our strength lies in our ability to collaborate as a powerful international team with 18,000 employees across over 100 countries.

People join Howden for various reasons but stay for our culture, which sets us apart. Whether your priorities are work/life balance, career progression, sustainability, or volunteering, you'll find like-minded people driving change at Howden.

Role: Quality Assurance Engineer

Objective: Ensure the quality, reliability, and governance of the Group Data Platform, covering data engineering, platform engineering, and data governance processes.

Summary of the Role

Howden Group Services is expanding its Group Data Platform and seeks a Quality Assurance Engineer to test, validate, and improve data pipelines, infrastructure, and governance processes. The ideal candidate will have experience in data testing, automation frameworks, and cloud-based data platforms, ensuring high-quality standards for data pipelines, storage, and platform components.

This role requires a detail-oriented professional with a strong technical background in data assurance and test automation. You will work alongside data engineers, platform engineers, and governance teams to ensure data accuracy, reliability, and compliance.

Responsibilities

• Support the execution of the quality assurance strategy for the Group Data Platform, ensuring the reliability of data pipelines, infrastructure, and governance processes.

• Develop and execute test cases for data ingestion, transformation, and storage.

• Implement automated testing frameworks to validate data integrity, schema consistency, and pipeline performance.

• Assist in testing platform engineering components, including CI/CD pipelines, infrastructure automation, and cloud-based services.

• Validate data governance policies, ensuring adherence to data security, regulatory requirements, and compliance standards.

• Monitor and report on quality metrics, identifying potential risks and inconsistencies within the platform.

• Collaborate with engineers, governance, and analytics teams to define testing requirements and best practices.

• Contribute to performance testing, ensuring data pipelines and infrastructure can handle large-scale data processing.

• Support troubleshooting efforts, helping identify and resolve quality issues in data workflows, platform components, and integrations.

• Continuously improve testing frameworks, leveraging automation and best practices to enhance efficiency.

Requirements

• 3+ years of experience in quality assurance, test automation, or data validation.

• Experience in testing data pipelines, ETL/ELT workflows, and big data environments.

• Familiarity with Azure data platforms, such as Databricks, Azure Data Factory, Synapse Analytics, or ADLS.

• Proficiency in SQL and scripting languages (e.g., Python, Scala) for data validation and test automation.

• Experience with test automation frameworks (e.g., Great Expectations, DBT tests, PyTest, or similar).

• Exposure to CI/CD testing within Azure DevOps, GitHub Actions, or Jenkins.

• Understanding of data governance, data security, and compliance frameworks.

• Strong problem-solving skills, with the ability to work effectively in a collaborative, fast-paced environment.

• Excellent communication skills, with the ability to work closely with technical teams and business stakeholders.

• Experience working with infrastructure testing (e.g., Terraform validation, cloud security testing) (preferred).

• Experience with data observability tools (not essential, but preferred).

This role offers an opportunity for a Quality Assurance Engineer to contribute to ensuring data and infrastructure accuracy, reliability, and compliance within the Group Data Platform, while gaining experience in cloud-based big data environments.

What do we offer in return?

We value diversity and are committed to providing a supportive environment. We offer:

• Opportunities to try new approaches and innovate

• Supportive colleagues in daily work and challenges

• Ways to make a positive impact at work and beyond

Reasonable adjustments

We are committed to providing accommodations to align with your needs, including flexible hours and hybrid working options. If you're interested but have concerns about fit, apply anyway. If your profile matches the role, we will assist with any reasonable adjustments you require.

Note: Not all positions can accommodate changes. Please contact your Recruitment Partner for details.