Data Engineer
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About the Role
WPP is the trusted growth partner for the world’s leading brands.
We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth.
We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.
Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.
For more information, visit WPP.com.
Why we're hiring:
We’re looking for a Data Engineer to contribute to our Open Intelligence data initiative, helping to build and maintain our core data capabilities. You’ll play a key role in building and maintaining the data connectors that feed data to Open Intelligence. This role requires good communication skills and an understanding of brand, adtech, and marketing data, as well as the benefits of well-engineered data pipelines. You will contribute to creating systems that keep our global media ecosystem running, ensuring that data is reliable, scalable, and reflects the needs of the business.
This is a hands-on technical role for someone who is comfortable delivering reliable data solutions and is eager to leverage new development and testing technologies. You will collaborate closely with team members and product stakeholders to ensure our data infrastructure meets evolving business needs.
What you'll be doing:
- Build, manage and maintain data extraction pipelines with the help of AI coding assistants.
- Pre-aggregate data in clean rooms using SQL-dialects when client or partner concerns demand it.
- Fetch data through REST APIs using Python or Node.js when needed.
- Collaborate with our Product organization regarding the addition of new data sources or changes to existing ones, and translate those requirements into maintainable code.
- Contribute to identifying and addressing technical debt and inefficiencies within our data platform.
- Support our regional teams in following best practices for adding their local datasets to Open Intelligence.
- Collaborate closely with analysts and data scientists who leverage Open Intelligence, to make sure that data connectors work as expected.
- Contribute to desig
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