Data Engineer

WPP’s Data & Technology Solutions is WPP’s unified global data products and technology team. We work with our agencies and clients to build data-driven solutions and technology products to power marketing transformation. At the heart of this is WPP Open - our AI platform for marketing that connects professionals, data, tools, and AI in a single place. It is the simplest, safest, and fastest way to realize the benefits of scaled AI, delivering better-informed creative ideas faster, at scale, and at lower cost. 

We’re endlessly curious, and our team of thinkers, builders, creators, and problem solvers is over 2,000 strong across 20 markets around the world.

Why we're hiring:

We are looking for a Data Engineer to join our Open Intelligence initiative. In this hands-on technical role, you will build and maintain core data capabilities, pipelines, and innovative features that power our global media ecosystem.

You bring strong communication skills, an understanding of brand, adtech, and marketing data, and a commitment to engineering reliable, scalable pipelines. You’ll collaborate closely with teammates and product stakeholders to ensure our data infrastructure evolves with the business while actively leveraging modern development and testing technologies.

If you are ready to be at the forefront of the AdTech industry, shaping its future, and driving success for both our clients, we encourage you to apply and join our team.

What you'll be doing:

• Strong communication skills, you can effectively explain technical concepts to various audiences.
• 2+ years of experience in data engineering.
• Solid experience with data wrangling in a language such as Python, Go, or Scala.
• Proficiency in large scale processing engines and related ecosystems (Spark
• Experience working with CI/CD, version control, and testing best practices.
• Experience with cloud-based platforms like GCP, AWS, or Azure.
• Experience working with infrastructure as code tools like Terraform.
• Experience with containerization management tools like Kubernetes.

What you'll need:

• Strong communication skills, you can effectively explain technical concepts to various audiences.
• 2+ years of experience in data engineering.
• Solid experience with data wrangling in a language such as Python, Go, or Scala.
• Proficiency in large scale processing engines and related ecosystems (Spark
• Experience working with CI/CD, version control, and testing best practices.
• Experience with cloud-based platforms like GCP, AWS, or Azure.
• Experience working with infrastructure as code tools like Terraform.
• Experience with containerization management tools like Kubernetes.
• A passion for data, technology, and computer languages.
• Interest in leveraging AI coding assistants and prompt engineering to enhance productivity.

Nice to have:

• Familiarity with AdTech- and/or MarTech data and terminology.
• Experience with monorepo codebase.
• Experience with data privacy engineering technologies and best practices in handling sensitive data.

Who you are: