AI & Data Engineer

Publicis Groupe · Stockholm

Apply on the company website

Publicis Groupe is one of the largest communications groups in the world. We are building the agency model of the future and take a holistic approach to our clients’ challenges. By fusing together our media, creative, data and technology expertise, we are able to provide clients with integrated solutions, transformative ideas and compelling consumer experiences. We call it the Power of One.

We are proud winner of many awards and nominations, both in Sweden and internationally. But nothing makes us prouder than to work with clients and brands such as P&G, Disney, H&M, Mondelez, Volvo, VISA, Lantmännen, LEGO, Spotify, Perrigo, TUI and many more.

At Publicis, we put our people first. We are proud to be certified as a Great Place to Work® for five consecutive years (2022–2026) and have won the Diversity Charter Sweden Awards in the category Mental Health (2025). We have also been recognized with a Magnet Award for our engaging culture (2023). Our goal is to become the leading workplace in our industry. We are based in two fantastic offices in Vasastan (Odengatan and Upplandsgatan) and offer a flexible work policy.

As an AI & Data Engineer at Publicis Intelligence, you will be a core contributor in our journey to transform how media, marketing, and communications operate through data and AI.

The role is highly hands-on and operational. You will join a team with strong existing capabilities in data, analytics, MarTech, and media insights. While Generative AI and agent-based solutions are our next major focus area, a crucial part of this role involves core software and data engineering to maintain, scale, and evolve our existing technical landscape.

You will play an active role in building both traditional backend solutions and new GenAI capabilities. This includes writing production code, developing APIs, maintaining existing internal tools, and driving technical implementations from concept to launch. You will work closely with senior engineers, media strategists, planners, and technical stakeholders across the organization.

Your mission is to build and deploy robust solutions that create real business value in a media context. Internally, this means developing and maintaining tools that help our teams work smarter by combining locally built applications with global Publicis platforms. Externally, you will help build data- and AI-driven products that boost our clients’ marketing performance, hyper-personalization, and advertising ROI.

You act as a technical executor who turns media requirements and marketing goals into scalable, and well-integrated solutions. This role is based in Stockholm and involves close collaboration with teams in Sweden and Denmark, as well as with Publicis’ global AI and engineering initiatives.

• You develop, maintain, and scale internal tools and applications. You take operational ownership of our existing technical products, ensuring that locally developed tools and global Publicis platforms run smoothly and continue to evolve to meet business needs.
• You build, test, and deploy AI and GenAI solutions that deliver clear impact for our media operations and clients. You work hands-on with AI agents, copilots, and LLM-based applications designed to assist with tasks like media planning or automated content optimization.
• You design and maintain robust backend systems and data pipelines, unlocking value from complex datasets such as media campaign data, consumer research, and client CRM data. You ensure data is handled securely and applications run with strong performance.
• Working alongside senior engineers and technical advisors, you help turn concepts into concrete, implementable features. You actively contribute to the development of new data products across analytics and digital media activation.
• You contribute to the team's shared knowledge by documenting your work, championing standard software engineering practices, sharing insights on GenAI/MLOps, and helping establish technical best practices in our daily workflows.

• You have 3–5+ years of operational experience in Data Engineering, Software Engineering, ML Engineering, or similar technical roles, and are comfortable working hands-on across the full development lifecycle.
• Solid experience in building backend applications and data pipelines, with strong proficiency in Python and SQL (experience with Spark is highly valued).
• A strong foundation in core software engineering practices, including version control (Git), CI/CD pipelines, and writing clean, maintainable, and well-documented code.
• Hands-on experience with cloud infrastructure (e.g., AWS, GCP, or Azure) and deploying data or software solutions.
• Transform business context into complex data models and strong production grade data pipelines.
• Connect local tools with larger global technical ecosystems. Experience integrating with AdTech/MarTech APIs (e.g., Google, Meta, Salesforce, or various DSPs) is a strong plus.
• An understanding of—or a strong curiosity about—marketing data, media performance metrics, and the digital advertising landscape.
• You are a proactive problem-solver who works well in collaborative, agile environments. You can take ownership of your technical deliverables, whether that involves fixing a bug in a legacy tool or building a new AI agent.

In addition to a welcoming culture and inclusive environment with passionate colleagues we offer you:

Career Opportunities

Local and Global opportunities through the Power Of One.

Personal and Professional Learning

Global AI learning platform where you can participate in +30 000 classes and connect with colleagues from all over the world.

Flexible Ways of Working

We want to be an employer where work life balance is cherished. We love to spend time with our colleagues at the office but also believe in the output of your work not where the work is being done.

Work Your World

For six weeks a year, the world is yours.  Every employee can work anywhere on the planet where there's a Publicis office. A new city, a favorite locale, or even a different country - Go. Grow. Explore. 

Mental Health

The happiness and health of our people is paramount to us. We work continuously on maintaining a healthy and safe working environment through initiatives that facilitate the well-being of our employees. 

Benefits
Generous benefit package.

We look forward to your application!

• You develop, maintain, and scale internal tools and applications. You take operational ownership of our existing technical products, ensuring that locally developed tools and global Publicis platforms run smoothly and continue to evolve to meet business needs.
• You build, test, and deploy AI and GenAI solutions that deliver clear impact for our media operations and clients. You work hands-on with AI agents, copilots, and LLM-based applications designed to assist with tasks like media planning or automated content optimization.
• You design and maintain robust backend systems and data pipelines, unlocking value from complex datasets such as media campaign data, consumer research, and client CRM data. You ensure data is handled securely and applications run with strong performance.
• Working alongside senior engineers and technical advisors, you help turn concepts into concrete, implementable features. You actively contribute to the development of new data products across analytics and digital media activation.
• You contribute to the team's shared knowledge by documenting your work, championing standard software engineering practices, sharing insights on GenAI/MLOps, and helping establish technical best practices in our daily workflows.

• You have 3–5+ years of operational experience in Data Engineering, Software Engineering, ML Engineering, or similar technical roles, and are comfortable working hands-on across the full development lifecycle.
• Solid experience in building backend applications and data pipelines, with strong proficiency in Python and SQL (experience with Spark is highly valued).
• A strong foundation in core software engineering practices, including version control (Git), CI/CD pipelines, and writing clean, maintainable, and well-documented code.
• Hands-on experience with cloud infrastructure (e.g., AWS, GCP, or Azure) and deploying data or software solutions.
• Transform business context into complex data models and strong production grade data pipelines.
• Connect local tools with larger global technical ecosystems. Experience integrating with AdTech/MarTech APIs (e.g., Google, Meta, Salesforce, or various DSPs) is a strong plus.
• An understanding of—or a strong curiosity about—marketing data, media performance metrics, and the digital advertising landscape.
• You are a proactive problem-solver who works well in collaborative, agile environments. You can take ownership of your technical deliverables, whether that involves fixing a bug in a legacy tool or building a new AI agent.

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