Data Engineer

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 Open Intelligence:

Open Intelligence (OI) is one of WPP’s most strategic bets — a data and AI initiative at the intersection of machine learning, advertising technology, and audience insight, built to power the next generation of media intelligence. OI operates at real scale, running across the US and UK and expanding rapidly across EMEA and APAC.

Our Copenhagen team has ~50 people, including 14+ data scientists and a strong engineering group. We’re flat, high-trust and fast-moving: strong opinions loosely held, teamwork over ego, aim high and have fun.

Why we're hiring:

Open Intelligence is accelerating the development of its core AI capabilities, and we are strengthening our applied-AI and engineering group in Copenhagen. We need a Data Engineer who can help bridge the gap between AI experimentation and production software engineering — working alongside data scientists and senior engineers to turn cutting-edge model research, multimodal embeddings, and agentic tools into scalable, robust, and well-architected components that power products across WPP globally.

We are looking for a Data Engineer who cares deeply about code quality, reliable pipelines, and practical AI execution. You write clean, tested code, enjoy working in a collaborative team to turn experimental concepts into production features, and are eager to deepen your expertise in modern AI systems. You hold a high bar but stay pragmatic — shipping incrementally to get value out early.

What you'll be doing:

• Help implement and maintain embedding spaces built from off-the-shelf multimodal models.
• Assist in building and extending the MCP server, API integrations, and the agent/UI on top of it.
• Write high-quality, tested, maintainable code following team architecture and design standards.
• Work closely with data scientists and senior engineers across OI, helping turn experimental work into robust production components.
• Contribute to peer code reviews, continuous pipeline improvements, and overall test coverage.

Who you'll be working with:

You’ll join a small, sharp team working at the embedding and applied-AI layer of OI. We work fluidly across a few closely-collaborating teams, so exact ownership flexes — but this is what the team is building right now:

• Embedding spaces — using off-the-shelf multimodal models (text, image, video) to build well-designed, well-distributed embedding spaces that serve several downstream use cases. Not models trained from scratch — carefully engineered spaces that make the rest of OI’s AI work.
• An MCP server — the tool layer that exposes these capabilities to agents and applications.
• A chat agent + UI on top — turning those capabilities into something people can use and be impressed by.
• It’s a team-centric setup: the team grows and delivers together, and the remit evolves as OI does. The work spans clean architecture, high-quality code, and applied AI.

What you'll need:

• 2+ years in software, data, or ML engineering, with a track record of writing clean, well-tested code.
• Solid Python and cloud experience (ideally GCP — Vertex AI, Cloud Run, BigQuery).
• Familiarity with or strong interest in modern AI building blocks: embeddings and vector search, LLM tooling and agents (MCP a plus).
• Solid engineering fundamentals with clean, testable code as a default habit.
• A strong communicator who collaborates well across engineering and data science teams.

Success attributes:

• Curious and eager to learn, adapt, and grow within modern AI engineering.
• Pragmatic and detail-oriented: high standards for code quality with a drive to ship incrementally.
• Low ego, high trust; collaborative team player who makes the people around them better.
• Thrive in a fast-paced, flat, entrepreneurial environment.

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.

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