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Pierre Fabre

Allogeneic cell therapies development and commercialization

Data Engineering Lead

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeHaute-Garonne, FranceNo salary listedIn-person

About the Job

Requirements

  • Significant experience in data engineering, including ownership of production-grade cloud data platforms and large-scale data pipelines.
  • Demonstrated experience leading and developing data engineers.
  • Strong experience with AWS and at least one modern data platform or lakehouse/warehouse ecosystem such as Databricks, Snowflake, or SageMaker Unified Studio.
  • Advanced practical skills in SQL and Python, data modelling, ETL/ELT, orchestration, APIs, and distributed data processing.
  • Experience with cloud object storage, open table/file formats, metadata, data quality, lineage, and secure data access.
  • Experience implementing engineering practices including Git, CI/CD, infrastructure as code, automated testing, monitoring, and incident management.
  • Ability to engage with scientific and business stakeholders, convert ambiguous needs into executable delivery plans, and communicate technical trade-offs clearly.
  • Professional fluency in English.

Responsibilities

  • Define, develop, set up, and maintain infrastructures and collection and storage tools to enable data analysis by Data Science and Data Analysis teams.
  • Design, test, document, and implement data solutions and architectures to process large volumes of internal or external data sources.
  • Apply security rules to useful data sources and make them accessible when necessary.
  • Organize data flows from sources to storage bases.
  • Qualify the degree of confidence in the data.
  • Ensure data usability for Data Analysts and Data Scientists and interoperability between systems.
  • Monitor technologies and languages used, share knowledge, and drive project progress.

Desired Qualifications

  • French language skills are strongly valued.
  • Experience in pharmaceutical, biotechnology, healthcare, or another regulated R&D environment.
  • Understanding of scientific and clinical data, including ELN/LIMS, instrument data, omics, preclinical, clinical, or real-world data.
  • Experience supporting GxP workloads, GDPR, HDS, or comparable regulated-data requirements.
  • Knowledge of FAIR principles, data products, semantic layers, master/reference data, and federated data governance.
  • Experience operating across AWS and Azure boundaries and integrating SaaS platforms, partner data exchanges, and streaming services.
  • Master’s degree or equivalent experience in computer science, engineering, data, or a related discipline.

About the Company

Pierre Fabre

Allogeneic cell therapies development and commercialization

Pierre Fabre Pharmaceuticals (US) develops and commercializes allogeneic cell therapies for oncology and rare diseases. It focuses on bringing next-generation, donor-derived cell therapies to patients with high unmet medical needs and deepens partnerships with biotech companies to advance products through clinical manufacturing and distribution in the US.

Company size
5,001-10,000
Company stage
Seed
Total funding
$13.8M
Headquarters
Toulouse, France
Founded
1951

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