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Howden Re

Quality Engineer

Posted 13 Days Ago
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London, Greater London, England
Mid level
London, Greater London, England
Mid level
The Quality Engineer will ensure quality and reliability of data engineering and platform engineering pipelines within the Group Data Platform. Responsibilities include developing automated testing frameworks, executing test cases for data transformations, and collaborating with engineers to implement quality-first principles.
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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 Engineer

Position
Quality Engineer to ensure the quality, reliability, and robustness of data engineering and platform engineering pipelines within the Group Data Platform.

Summary of the Role
Howden Group Services is expanding its Group Data Platform team and is looking for a Quality Engineer to support data quality assurance, test automation, and validation frameworks across data engineering and platform engineering teams. The ideal candidate will have experience in testing data pipelines, automation frameworks, and CI/CD practices, with a focus on ensuring data integrity, accuracy, and reliability.

This role requires an analytical and detail-oriented individual who can work closely with engineers to embed quality-first principles, ensuring that data pipelines and platform components are thoroughly tested and meet business requirements. The successful candidate will help develop automated testing frameworks, define testing standards, and validate data engineering workflows.

Responsibilities
The successful candidate will:

  • Support the development and execution of a quality assurance strategy for data engineering and platform engineering pipelines.

  • Develop and execute test cases for data pipelines, ETL/ELT workflows, and data transformations.

  • Assist in building and maintaining automated data validation and pipeline testing frameworks.

  • Validate infrastructure and platform-level components, including CI/CD pipelines and cloud-based data services.

  • Collaborate with data engineers, platform engineers, and DevOps teams to ensure quality is embedded throughout development.

  • Monitor and report on key quality metrics, identifying and addressing issues proactively.

  • Ensure adherence to data governance, security, and compliance requirements.

  • Work with business stakeholders to understand requirements and contribute to effective testing strategies.

  • Support the adoption of best practices for unit testing, integration testing, regression testing, and performance testing in a data environment.

Requirements
Candidates should have:

  • 3+ years of experience in data quality engineering, software testing, or test automation.

  • Familiarity with testing data pipelines, ETL/ELT workflows, and big data solutions.

  • Experience with cloud-based data platforms, preferably Azure Databricks, Azure Data Factory, or Synapse Analytics.

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

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

  • Understanding of CI/CD and DevOps practices, with exposure to Azure DevOps, GitHub Actions, or Jenkins.

  • Knowledge of data governance, security, and compliance best practices.

  • Strong analytical and problem-solving skills, with a keen attention to detail.

  • Ability to collaborate effectively with engineers, analysts, and business stakeholders.

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

  • Experience in the insurance or financial industry (not essential, but preferred).

This role is an excellent opportunity for a Quality Engineer to contribute to ensuring the reliability and accuracy of data engineering and platform solutions in a modern, scalable Group Data Platform.

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:

  • Our successes have all come from someone brave enough to try something new

  • We support each other in the small everyday moments and the bigger challenges

  • 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

Top Skills

Azure Data Factory
Azure Databricks
Azure Devops
Ci/Cd
Data Engineering
Data Quality Assurance
Dbt Tests
Github Actions
Great Expectations
Jenkins
Platform Engineering
Pytest
Python
Scala
SQL
Synapse Analytics
Terraform
Test Automation

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