Asks for

The ad says“Build, manage and maintain data extraction pipelines with the help of AI coding assistants.”
The ad says“Experience with cloud-based platforms like GCP, AWS, or Azure, and deployment abstractions like Docker or Terraform.”
The ad says“Experience with cloud-based platforms like GCP, AWS, or Azure, and deployment abstractions like Docker or Terraform.”
The ad says“Proficiency in one or more modern data ecosystems — e.g., Databricks, Snowflake, BigQuery, InfoSum, or Redshift.”
The ad says“Experience working with CI/CD, version control, and testing best practices.”
The ad says“Proficiency in one or more modern data ecosystems — e.g., Databricks, Snowflake, BigQuery, InfoSum, or Redshift.”
The ad says“Experience with cloud-based platforms like GCP, AWS, or Azure, and deployment abstractions like Docker or Terraform.”
The ad says“Experience with cloud-based platforms like GCP, AWS, or Azure, and deployment abstractions like Docker or Terraform.”
The ad says“Proficiency in one or more modern data ecosystems — e.g., Databricks, Snowflake, BigQuery, InfoSum, or Redshift.”
The ad says“Fetch data through REST APIs using Python or Node.js when needed.”
The ad says“Interest in leveraging AI coding assistants and prompt engineering to enhance productivity.”
The ad says“Fetch data through REST APIs using Python or Node.js when needed.”
The ad says“Proficiency in one or more modern data ecosystems — e.g., Databricks, Snowflake, BigQuery, InfoSum, or Redshift.”
The ad says“Fetch data through REST APIs using Python or Node.js when needed.”
The ad says“Solid experience with data wrangling in a language such as SQL, Python, or Scala.”
The ad says“Proficiency in one or more modern data ecosystems — e.g., Databricks, Snowflake, BigQuery, InfoSum, or Redshift.”
The ad says“Pre-aggregate data in clean rooms using SQL-dialects when client or partner concerns demand it.”
The ad says“Experience with cloud-based platforms like GCP, AWS, or Azure, and deployment abstractions like Docker or Terraform.”
The ad says“Experience working with CI/CD, version control, and testing best practices.”

Who We Are

VML is a global creative company that combines brand experience, customer experience, and commerce to create connected brands that drive growth. Guided by a Human First philosophy, VML is known for its innovative work for brands and consistently ranks among the world’s leading creative companies, including the WARC Creative 100. VML’s global network spans 55+ markets with principal offices in Buenos Aires, Kansas City, London, New York, São Paulo, Shanghai and Singapore.

VML is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel.

For more information, please visit www.vml.com and follow along on  LinkedIn #WeAreVML.

About Us

We believe data, creativity and technology work best when they work together. Our mission is to shape the next era of media — one that’s smarter, more connected, and powered by insight. We’re part of a global network that values openness, collaboration and bold ideas. Here, you’ll have the chance to make an impact and grow your career and skill set with some of the best minds in the industry.

The Role

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.

The role is in our lovely Copenhagen offices at Nørrebro, where you will join a larger team of roughly 50 people working on Open Intelligence.

What You’ll Do

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 designing and building strong data governance and quality frameworks to ensure connectors produced are accurate and work consistently throughout their lifetime.
Stay curious, explore new tools, techniques, and technologies that can help us move faster and smarter.

What You’ll Bring

Strong communication skills — you can effectively explain technical concepts to various audiences.
2-4 years of experience in data engineering.
Familiarity with adtech- and/or martech data and terminology.
Interest in leveraging AI coding assistants and prompt engineering to enhance productivity.
Solid experience with data wrangling in a language such as SQL, Python, or Scala.
Interest in applying or learning the Scala language for data processing.
Understanding of strongly typed computer languages and compilers, and an appreciation for finding data processing errors early.
Proficiency in one or more modern data ecosystems — e.g., Databricks, Snowflake, BigQuery, InfoSum, or Redshift.
Experience working with CI/CD, version control, and testing best practices.
Experience with cloud-based platforms like GCP, AWS, or Azure, and deployment abstractions like Docker or Terraform.
A passion for data, technology, and computer languages.
A proactive approach to solving problems and improving systems.

What We Offer

We believe great work starts with great people. At WPP Media, you’ll find:

A supportive, inclusive culture built on trust, ambition and collaboration.
Access to world class learning and development opportunities across the WPP network.
Competitive salary, benefits and a focus on wellbeing.
The chance to make a real impact shaping how data powers the next generation of media.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

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