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Associate Director, Data Engineering, UK

wppmedia Sourced

London, United Kingdom Full-time Not specified

No account needed — this role is applied for on the employer’s own site.

About the role

<div class="content-intro"><p><strong>About WPP Media</strong></p> <p>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. </p> <p>WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.</p> <p>For more information, visit <a href="wppmedia.com">wppmedia.com</a>.</p></div><p><strong>3743 - Associate Director, Data Engineering, UK</strong></p> <p><strong>Role Summary and Impact</strong></p> <p>DTA is WPP’s global data products and technology arm. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.</p> <p>We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.</p> <p>We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.</p> <p><strong>About WPP Media&nbsp;BI &amp; Data Management</strong></p> <p>As the central hub for BI and data engineering, our team of 30+ specialists is responsible for the integrity, flow, and accessibility of data across the entire WPP Media ecosystem. By bridging technical data engineering with advanced BI reporting, we provide the robust foundation that powers WPP Media’s platform and drives growth at scale.</p> <p>As <strong>Associate Director, Engineering</strong> you&nbsp;will be joining the&nbsp;BI &amp; Data Management&nbsp;division of WPP Media’s Data, Technology and Analytics team.</p> <p>This role involves&nbsp;leading&nbsp;client projects&nbsp;and overseeing the strategic development of solutions&nbsp;that aggregate diverse data sources into a single, unified view.&nbsp;You will act as a subject matter expert and strategic for our Measure data platform – a unified system for data connection, ingestion, transformation, and reporting – built on a robust technology stack including Adverity, GCP, and PowerBI.&nbsp;</p> <p>You will be responsible for the strategic design and delivery of robust, scalable data engineering solutions that power critical insights and analytics for our diverse client base.</p> <p>You will&nbsp;be responsible for&nbsp;establishing&nbsp;best practices, quality assurance processes and&nbsp;ways of working&nbsp;that ensure the reporting solutions we deliver are consistently&nbsp;accurate&nbsp;and meeting the needs of our clients.&nbsp;Your&nbsp;core focus will be on partnering with our clients to deeply understand their strategic&nbsp;objectives&nbsp;and challenges. You will also&nbsp;be responsible for&nbsp;fostering a high-performing and collaborative team culture between your direct report, the WPP 650 BI team, and the wider business.&nbsp;&nbsp;</p> <p><br>&nbsp;<strong>Key Responsibilities</strong></p> <ul> <li>In partnership with others in the BI &amp; DM team<strong>, </strong>design, build, and implement robust data engineering solutions and data pipelines, high standards for data quality, reliability, and performance.</li> <li>Serve as senior technical liaison and strategic partner to&nbsp;planning teams, client stakeholders, and cross-functional departments,&nbsp;translating&nbsp;business specifications into precise technical requirements for implementation.&nbsp;</li> <li>Design and&nbsp;enforce robust validation and auditing&nbsp;processes&nbsp;to ensure the highest levels of data integrity, consistency, and reliabilit

Skills

Technology & Data

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