Lead Data Engineer

Title:

Lead Data Engineer

Company:

Ipsen Pharma (SAS)

 

About Ipsen:

Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation.

 Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company’s success. Join us on our journey towards sustainable growth, creating real impact on patients and society!

For more information, visit us at https://www.ipsen.com/ and follow our latest news on LinkedIn and Instagram.

Job Description:

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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