Lead Quality Assurance Engineer

Howden; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

Howden is seeking a Lead Quality Assurance Engineer to enhance the quality of its Group Data Platform. The role entails the development of an end-to-end quality strategy that ensures data reliability, compliance, and scalability. The ideal candidate will have extensive experience in data quality assurance, a strong understanding of automation, and the ability to lead teams in a cloud-based environment. This position offers a strategic opportunity to influence best practices and support business objectives.

Qualifications

• 7+ years in quality assurance or data validation.
• Proven expertise in testing data platforms and cloud solutions.
• Experience with automation frameworks like Selenium.

Responsibilities

• Define and implement quality assurance strategies for data platforms.
• Lead the development and adoption of test automation frameworks.
• Mentor and lead a team of Quality Engineers.

Skills

Data Quality

Automation

Data Validation

Compliance

Tools

Databricks

Azure Data Factory

Synapse

Python

SQL

Scala

CI/CD Tools

Job description

Join to apply for the Lead Quality Assurance Engineer role at Howden

Join to apply for the Lead Quality Assurance Engineer role at Howden

Position
Lead Quality Assurance Engineer to drive quality assurance across the entire Group Data Platform, ensuring the reliability, scalability, and governance of all data, infrastructure, and engineering processes.

Summary of the Role
Howden Group Services is expanding its Group Data Platform and is looking for a Lead Quality Assurance Engineer to take ownership of the end-to-end quality strategy for the platform. This includes data engineering pipelines, platform engineering infrastructure, and overarching data governance processes.

The ideal candidate will be a strategic leader with extensive experience in data quality, automation, validation frameworks, and compliance within cloud-based data platforms. This role requires a strong technical background in data assurance, alongside the ability to establish best practices, drive automation, and work cross-functionally with engineering, governance, and business teams to uphold data integrity, performance, and security.

The successful candidate will define and lead the assurance strategy for data ingestion, transformation, storage, security, and compliance, ensuring the platform meets business and regulatory requirements.

Responsibilities
The successful candidate will:

Define and implement a comprehensive quality assurance strategy across the entire Group Data Platform, covering data engineering, platform engineering, and governance.

Lead the design, development, and adoption of test automation frameworks to validate data pipelines, ETL/ELT processes, metadata management, and infrastructure components.

Ensure the quality and accuracy of data governance, data lineage, and security policies, aligning with compliance standards.

Oversee validation of platform engineering components, including CI/CD pipelines, infrastructure automation, cloud security, and monitoring frameworks.

Develop robust testing methodologies for data consistency, performance, scalability, and disaster recovery.

Work closely with engineering, analytics, and business teams to ensure that data quality processes align with business objectives.

Own and define quality metrics, creating monitoring and alerting mechanisms for data reliability, SLA adherence, and platform performance.

Mentor and lead a team of Quality Engineers, fostering a quality-first culture within the data platform team.

Drive continuous improvement, exploring new technologies, automation tools, and best practices to enhance testing efficiency.

Ensure regulatory compliance for data handling, storage, and processing, aligning with GDPR, industry standards, and internal governance frameworks.

Requirements
Candidates should have:

7+ years of experience in quality assurance, test automation, or data validation, with at least 3+ years in a leadership role.

Proven expertise in testing data platforms, data pipelines, and cloud-based big data solutions.

Strong experience with Databricks, Azure Data Factory, Synapse, and cloud infrastructure testing.

Deep understanding of data governance, data security, and compliance best practices.

Expertise in test automation frameworks (e.g., Great Expectations, DBT tests, PyTest, Selenium, or similar).

Strong coding skills in Python, SQL, or Scala for automation and validation purposes.

Hands-on experience in CI/CD testing within Azure DevOps, GitHub Actions, or Jenkins.

Experience working with infrastructure testing tools (e.g., Terraform validation, cloud monitoring, security validation).

Ability to lead teams, influence best practices, and collaborate effectively with stakeholders across data, governance, and infrastructure.

Experience in defining quality strategies, driving process improvements, and implementing automation in large-scale data platforms.

Knowledge of data observability and anomaly detection tools (preferred).

Industry experience in financial services, insurance, or regulated environments (not essential, but preferred).

This role is an excellent opportunity for a Lead Quality Assurance Engineer to take a strategic leadership position in ensuring the end-to-end quality, compliance, and performance of the Group Data Platform while fostering a culture of excellence, automation, and continuous improvement.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Technology, Information and Internet

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