Lead Data Engineer

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 (Git

Hub, Git

Hub 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.

Nous nous engageons à créer un lieu de travail où chacun se sent écouté, valorisé et soutenu, où nous incarnons « The Real Us*». La valeur que nous accordons aux différentes perspectives et expériences motive notre engagement en faveur de l'inclusion et de l'égalité des chances. Lorsque nous intégrons des modes de pensée diversifiés, nous prenons des décisions plus réfléchies et découvrons des solutions plus innovantes. Ensemble, nous nous efforçons de mieux comprendre les communautés que nous servons. Cela signifie que nous voulons également vous aider à donner le meilleur de vous-même lorsque vous postulez à un poste chez nous. Si vous avez besoin d'aménagements ou d'aide pendant le processus de candidature, veuillez en informer l'équipe de recrutement. Ces informations seront traitées avec soin et n'auront aucune incidence sur le résultat de votre candidature. *Soyons nous-même

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