Title:
Lead Data EngineerCompany:
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.
- 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.
- 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.
#LI-HYBRID #LI-JR01
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-mêmeSkills Required
- Strong experience in data engineering
- Hands-on development experience on Databricks
- Experience designing and implementing data engineering frameworks
- Knowledge of cloud platforms, especially AWS
- Experience with CI/CD tools and practices
- Fluency in English
- Familiarity with Generative AI topics
Ipsen Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ipsen and has not been reviewed or approved by Ipsen.
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Healthcare Strength — Health coverage is described as comprehensive, with broad medical, dental, and vision offerings. Company materials emphasize a wide-ranging package that supports overall wellbeing.
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Retirement Support — Retirement programs are highlighted with a competitive 401(k) match and access to an employee stock purchase plan. These elements are frequently cited as strengths in the package.
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Parental & Family Support — Family support includes paid parental leave and company-provided backup child and elder care. These programs complement core benefits and add practical day-to-day value.
Ipsen Insights
What We Do
Ipsen is a French leading global mid-size biopharmaceutical company headquartered in Paris, France focusing its efforts where unmet medical needs are greatest. Ipsen develops and commercializes innovative medicines in three key therapeutic areas - Oncology, Rare Disease and Neuroscience. We have over 5000 employees worldwide and our medicines are registered in more than 100 countries, with direct commercial presence in over 30 countries. Ipsen has 4 global R&D hubs and 3 pharmaceutical development centers around the world
