Data Engineer

Confirmed live in the last 24 hours

VML (Wunderman Thompson)

Copenhagen, Capital Region, Denmark

Hybrid

Posted April 13, 2026

Job Description

Who We Are

VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave™ Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML’s specialist health network, VML Health, is one of the world’s largest and most awarded health agencies. VML’s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney.

About WPP

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. For more information, visit WPP.com.

Data Engineer

Location: Copenhagen

Reporting to: Lead Engineer

About Open Intelligence:

We are the Activation arm of WPP Open Intelligence. Our team builds the foundational data infrastructure and high-performance edge services that power WPP’s position in the market. With approximately one-third of all global media spend flowing through WPP, our platform operates at the core of this massive network—deeply integrated and adopted by the largest supply-side partners in the AdTech industry.
Operating at our scale presents unique engineering challenges. Our edge services currently handle over 60,000 classification requests per second, while our contextual classification pipelines process 10,000 requests per second. With operations spanning the US, UK, and ongoing expansion into EMEA and APAC, our infrastructure continuously interacts with up to 98% of the population in our active markets. We are an engineering-led team focused on building robust, scalable, and highly reliable systems.

WHO WE ARE LOOKING FOR

We are looking for a Data Engineer who is passionate about solving complex data processing challenges in a high-scale environment. You prioritize strong software engineering fundamentals, algorithm design, and scalable data architecture over strict adherence to any specific framework.
You are comfortable designing, building, and maintaining systems that manage immense volumes of data. While your foundation in data processing is most important, you are likely highly proficient in languages like Python, Go, or Scala, and familiar with large-scale distributed processing engines (like Spark) and containerized deployment (like Kubernetes). You value modern operational practices—from infrastructure as code (Terraform) and robust CI/CD, to leveraging AI coding assistants to enhance your daily productivity.
Beyond your technical capabilities, you are a strong communicator who can distill complex technical concepts for various stakeholders. You take ownership of the reliability of your pipelines and are motivated by the challenge of operating and evolving a global scale infrastructure.

WHY ARE WE HIRING

We are at a critical inflection point in our growth and need to scale our engineering team to tackle an expanding set of complex challenges. As the digital ecosystem evolves, we are actively developing and releasing a new catalog of privacy-preserving data products. These solutions are designed to scale advanced targeting capabilities while remaining uncompromising on our promise to protect user privacy.

To support this product evolution, our infrastructure is undergoing massive global expansion. By the end of this year, we will be fully operational across the rest of the EMEA and APA

pythongorustawsgcpazurekubernetesaidataproduct