Lead Data Engineer
Role details
Job location
Tech stack
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.
Requirements
- 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.