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Quality Assurance Engineer

2 weeks ago

London, Greater London, United Kingdom Howden Group Holdings Full time

Who are we?

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

People join Howden for many different reasons, but they stay for the same one: our culture. It's what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities - work / life balance, career progression, sustainability, volunteering - you'll find like-minded people driving change at Howden.

Quality Assurance EngineerPosition

Quality Assurance Engineer to 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 is looking for a Quality Assurance Engineer to help 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 that data pipelines, storage, and platform components meet high-quality standards.

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

Responsibilities

The successful candidate will:

  1. Support the execution of the quality assurance strategy for the Group Data Platform, ensuring the reliability of data pipelines, infrastructure, and governance processes.
  2. Develop and execute test cases for data ingestion, transformation, and storage within the platform.
  3. Implement automated testing frameworks to validate data integrity, schema consistency, and pipeline performance.
  4. Assist in testing platform engineering components, including CI/CD pipelines, infrastructure automation, and cloud-based services.
  5. Validate data governance policies, ensuring adherence to data security, regulatory requirements, and compliance standards.
  6. Monitor and report on quality metrics, identifying potential risks and inconsistencies within the platform.
  7. Collaborate with engineers, governance, and analytics teams to define testing requirements and best practices.
  8. Contribute to performance testing, ensuring that data pipelines and infrastructure can handle large-scale data processing efficiently.
  9. Support troubleshooting efforts, helping identify and resolve quality issues in data workflows, platform components, and integrations.
  10. Continuously improve testing frameworks, leveraging automation and best practices to enhance efficiency.
Requirements

Candidates should have:

  1. 3+ years of experience in quality assurance, test automation, or data validation.
  2. Experience in testing data pipelines, ETL/ELT workflows, and big data environments.
  3. Familiarity with Azure data platforms, such as Databricks, Azure Data Factory, Synapse Analytics, or ADLS.
  4. Proficiency in SQL and scripting languages (e.g., Python, Scala) for data validation and test automation.
  5. Experience with test automation frameworks (e.g., Great Expectations, DBT tests, PyTest, or similar).
  6. Exposure to CI/CD testing within Azure DevOps, GitHub Actions, or Jenkins.
  7. Understanding of data governance, data security, and compliance frameworks.
  8. Strong problem-solving skills, with the ability to work effectively in a collaborative, fast-paced environment.
  9. Excellent communication skills, with the ability to work closely with technical teams and business stakeholders.
  10. Experience working with infrastructure testing (e.g., Terraform validation, cloud security testing) (preferred).
  11. Experience with data observability tools (not essential, but preferred).

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

What do we offer in return?

A career that you define. At Howden, we value diversity - there is no one Howden type. Instead, we're looking for individuals who share the same values as us:

  1. Our successes have all come from someone brave enough to try something new
  2. We support each other in the small everyday moments and the bigger challenges
  3. We are determined to make a positive difference at work and beyond
Reasonable adjustments

We're committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours* or hybrid working*.

If you're excited by this role but have some doubts about whether it's the right fit for you, send us your application - if your profile fits the role's criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.

*Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more.

Permanent

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