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WPP

Data Engineer

WPP is hiring a Data Engineer in Copenhagen, Denmark. Level rates it ; you can apply on WPP.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this data engineer role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include prompt engineering, data engineering and pipelines.
  • Level classifies it as a mid-level role.
  • Level lists 211 other open roles at WPP.

AI in this role

Build and maintain core data capabilities and pipelines powering WPP's AI platform and global media ecosystem.

prompt-engineeringdata-engineeringpipelinessqlpythonadtech

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.

About Data & Technology Solutions

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:

  • Discuss & propose technical solutions, develop & review code following best practices and patterns.
  • Collaborate with both our Product organization and analysts and data scientists in Open Intelligence to add new features or
    changes to existing ones and translate those requirements into reliable, production-level components.
  • Contribute to designing and building strong data governance and quality frameworks to ensure data production is accurate
    and work consistently throughout its lifetime.
  • Contribute to identifying and addressing technical debt and inefficiencies within our data platform.
  • Stay curious and proactive, explore new tools, techniques, and technologies that can help us move faster and smarter.
  • Be happy to share knowledge in dedicated sessions and stand-ups.

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:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid

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 around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular 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.

Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.

How we rate this

Data Engineer at WPP rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringData EngineeringPipelinesSQLPythonAdtech

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. Tell me about a project where data engineering was part of your work. What did you do?
  3. Tell me about a project where pipelines was part of your work. What did you do?
  4. Tell me about a project where sql was part of your work. What did you do?
  5. Tell me about a project where python was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, Data Engineering, Pipelines, SQL, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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