About the job
About WPP Media
WPP is the creative transformation company. We harness the power of creativity to forge better futures for our people, planet, clients, and communities. For more details, visit wpp.com.
WPP Media is WPP’s global media collective. In a world where media permeates every aspect of life, we unite the best platforms, people, and partners to create boundless opportunities for growth. Learn more at wppmedia.com.
At WPP Media, we value our culture and our people. This is what empowers us to deliver outstanding experiences for our clients and one another. In this role, embracing WPP’s and WPP Media’s shared core values is essential:
- Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
- Create an Open environment by Balancing People and Client Experiences through Cultivating Trust.
- Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.
WHO WE ARE LOOKING FOR
Job Title: Senior QA Engineer
Summary:
We are in search of a highly skilled and motivated Senior QA Engineer to lead the quality assurance efforts for our next-generation media data lake hosted on Microsoft Azure. As a hands-on team leader, you will be instrumental in designing and implementing a comprehensive data quality strategy from ingestion to consumption, ensuring the delivery of high-quality, reliable, and scalable solutions.
Responsibilities:
- Data Quality Strategy & Planning: Devise and execute thorough QA strategies, test plans, and test cases tailored for data pipelines, data models, and data warehousing solutions on Azure.
- Azure Data Platform Expertise: Utilize your extensive knowledge of the Azure data ecosystem (including Azure Data Factory, Azure Databricks, Synapse Analytics, and Azure Data Lake Storage) to design and implement effective data validation and testing strategies across the Medallion Architecture (Bronze, Silver, and Gold layers).
- Test Automation for Data: Spearhead the development and upkeep of automated testing frameworks for data, including writing SQL-based validation rules and Python/PySpark scripts for data profiling.

