Data Management and BI Senior Executive, GOC

About WPP Media

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation nected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

For more information, visit

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.

• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.

• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Senior Data Engineer who will:

• Design, develop, and optimize enterprise ETL/ELT pipelines using Azure Data Factory
  , Azure Data Lake Storage
  , and serverless technologies
  , ensuring scalability, security, and reliability
  .

• Build and optimize complex Azure T-SQL solutions, including query tuning, partitioning, and indexing
  , to support advanced analytics models and real-time data processing
  .

• Develop automation frameworks with Python and API orchestration to streamline the data lifecycle and improve operational efficiency.

• Own production pipeline reliability by performing root-cause analysis
  , resolving critical incidents
  , and implementing long-term stability measures
  .

• Define and enforce coding and architectural standards through code reviews and technical audits
  , while mentoring engineers and raising delivery quality.

• Maintain documentation,
  data lineage
  , governance
  , and automated CI/CD deployment practices across data assets.

• Partner with US onshore leadership and analytics and media teams to translate business needs into scalable, high-performance technical solutions
  .

• Lead end-to-end pipeline architecture and modernization initiatives involving Databricks
  , dbt
  , and advanced Dev Ops practices; monitor SLAs
  , mitigate risk, and support compliance
  .

If this opportunity looks right for you, we are looking for candidates who have:

• 3–4 years of progressive experience in data engineering
  .

• Expert-level hands-on experience with Azure Data Factory
  , advanced Azure T-SQL/SQL
  , and cloud data platforms such as Azure and/or GCP
  .

• Proven experience designing, optimizing, and managing large-scale, production-grade ETL/ELT pipelines
  , including ADF orchestration and Azure Data Lake Storage
  .

• Advanced SQL performance tuning skills, including complex query optimization, partitioning, indexing
  , and high-volume data processing
  .

• Strong Python and API orchestration skills for automation.

• Advanced experience with production operations, troubleshooting, root-cause…