Data Engineer - Manager

Requirements

• 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:
• Essential
• Hands-on experience in data engineering, analytics engineering, or a closely related data field.
• Practical experience with cloud data platforms, specifically Google Cloud Platform (GCP) services (e.g., BigQuery, Cloud Storage, Cloud Functions, Composer).
• Strong proficiency in SQL for data manipulation, transformation, and analysis.
• Experience in designing, building, and maintaining data pipelines (ETL/ELT).
• Experi

Additional Information

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 at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. For more information, visit wppmedia.com . About WPP Media 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.com. 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 wppmedia.com About WPP Media Data, Technology and Analytics (DTA): A Leading WPP Media Brand 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. 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. We're endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world. Role Summary and Impact As a Data Engineer, you will be a hands-on technical contributor within the Data, Technology & Analytics team, responsible for designing, developing, and automating robust data solutions for our diverse client base. You will play a critical role in building and maintaining the data infrastructure that powers our insights and analytics. You will work extensively with the Measure data platform - a unified system for data connection, ingestion, transformation, and reporting - built on a robust technology stack including Adverity, GCP, and PowerBI. This role involves actively contributing to client projects that aggregate diverse data sources into a single, unified view, ensuring data integrity and consistency to enable comprehensive insights and custom visualisations. You will apply and help champion data engineering best practices throughout the data lifecycle. In this role you will: Develop Data Solutions : Design, build, and implement robust data engineering solutions and data pipelines within the DTA team, ensuring high standards for data quality, reliability, and performance. Data Pipeline & Transformation: Develop, maintain, and optimize efficient, scalable, and reliable data pipelines (ETL/ELT) for ingesting, transforming, and loading diverse data sources into our data platforms, primarily BigQuery. Platform Expertise: Work with and contribute to the Measure data platform, utilizing tools like Adverity, Google Cloud Platform (GCP), BigQuery, and dbt to create and enhance data architectures. Collaboration & Requirements: Collaborate effectively with BI specialists, analytics teams, and planning teams to understand business requirements and translate them into technical data engineering specifications. Data Integrity & Quality: Write and optimize complex SQL queries, implement data validation rules, and support monitoring processes to ensure the accuracy, completeness, and consistency of data assets. Innovation & Best Practices: Stay up-to-date with new data engineering trends and technologies, contributing to the adoption of best practices and continuous improvement of our data capabilities. Performance Optimization: Assist in troubleshooting and optimizing data pipeline and database performance for large datasets and complex transformations. Maintain an understanding of digital advertising and ad serving technology (e.g., ad serving, vendor ad servers, web analytics, attribution), pursuing advanced accreditation where relevant.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at wppmedia? Share your experience