About this opportunity
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.
#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-même
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 280 comparable Data & Digital roles across 42 biopharma companies.
Salary context
73 of 280 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 280 comparable roles
+ 15 more countries
Seniority mix
162 of 280 peers have a known seniority level
Therapeutic area mix
6 of 280 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.