Lead Data Engineer

Ipsen; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

Ipsen is looking for a Lead Data Engineer to define and standardize data engineering practices on its data platform. This role involves driving adoption of best practices, leading the Data Engineering community, and hands-on participation in data pipelines. Candidates should have strong experience in data engineering, particularly with Databricks, and demonstrate leadership skills in a matrix environment. Join Ipsen to shape data engineering standards at an enterprise scale with modern platforms like Databricks and AWS.

Qualifications

• Strong experience in data engineering, including hands-on development on Databricks.
• Proven experience designing and implementing data engineering frameworks or standards.
• Experience working in matrix environments, coordinating multiple data engineering teams.
• Familiarity with Generative AI topics is a plus.

Responsabilités

• Define and implement data engineering standards, best practices, and development frameworks.
• Build tools and automation to enforce standards and ensure quality at scale.
• 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.

Connaissances

Data engineering

Hands-on development on Databricks

Leadership and influence

Cloud platforms (AWS)

CI/CD tools and practices

Data pipelines

Fluent in English

Description du poste

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.