Lead Data EngineerIPSEN

Ipsen est un groupe biopharmaceutique mondial de taille moyenne, spécialisé dans les médicaments transformateurs dans trois aires thérapeutiques : l'oncologie, les maladies rares et les neurosciences. Forts de près de 100 ans d'expérience en développement, avec des Hubs mondiaux aux États-Unis, en France et au Royaume-Uni, nous focalisons nos efforts là où les besoins médicaux non satisfaits sont importants, grâce à la recherche et à l'innovation.

Nos équipes passionnées, présentes dans plus de 40 pays, se concentrent sur l'essentiel et s'efforcent chaque jour d'apporter des médicaments aux patients dans 88 pays. Nous construisons un environnement de travail qui met en avant un leadership centré sur l'humain et favorise une culture de collaboration, d'excellence et d'impact. Au sein d'Ipsen, chaque individu est encouragé à être soi-même, à grandir et à s'épanouir aux côtés du succès de l'entreprise. Rejoignez-nous dans notre démarche vers une croissance durable, en créant un impact réel sur les patients et la société.

Pour plus d'informations, visitez notre site web à l'adresse https://www.ipsen.com et suivez nos dernières actualités sur LinkedIn et Instagram.

Ipsen is strengthening its Data & AI Platforms Engineering team to accelerate the industrialization of data engineering practices across the organization.

We are looking for a Lead Data Engineer to define, standardize, and scale data engineering practices on Ipsen's data platform.

In this role, you will act as both a hands-on technical expert and a community leader, driving the adoption of best practices, building reusable frameworks, and ensuring consistency across data engineering teams.

You will play a key role in transforming current ways of working into industrialized, automated, and scalable data engineering processes.

Your key responsibilities

• Define and implement data engineering standards, best practices, and development frameworks.
• Build tools and automation to enforce standards and ensure quality at scale.
• Contribute hands-on to data pipelines and critical implementations on Databricks.
• Drive the industrialization of data engineering through CI/CD, testing, and automation.
• Lead and animate the Data Engineering community of practice, promoting alignment and knowledge sharing.
• Evangelize and drive adoption of tools, frameworks, and best practices across teams.
• Collaborate with platform, data, and business teams to ensure consistent and scalable solutions.
• Provide technical expertise and guidance on complex data engineering projects.

Your profile & expertise

• Strong experience in data engineering, including hands-on development on Databricks (AWS is a plus).
• Proven experience designing and implementing data engineering frameworks or standards.
• Ability to combine hands-on technical work with leadership and influence.
• Experience working in matrix environments, coordinating multiple data engineering teams.
• Strong knowledge of cloud platforms (AWS) and modern data architectures.
• Experience with CI/CD tools and practices (GitHub, GitHub Actions).
• Good understanding of data pipelines, automation, and industrialization practices.
• Familiarity with Generative AI topics is a plus.
• Strong communication and ability to evangelize and drive adoption across teams.
• Fluent in English.

Why join Ipsen?

• A key role shaping data engineering standards at enterprise scale.
• Opportunity to work on modern data platforms (Databricks, AWS, AI).
• A mix of hands-on engineering and technical leadership.
• Strong impact on how data and AI solutions are built and scaled across Ipsen.

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