Data Engineering Lead- R&D pharma- M/F - CDI

- Design, test, document and implement data solutions / architectures to allow large volumes of internal or external data sources to be processed.

- Apply security rules to useful data sources, make them accessible if necessary

- Organize flows from sources to storage bases.

- Qualify the degree of confidence in the data

- Ensure its usability for Data Analysts and Data Scientists and interoperability between systems

- Ensure a permanent watch on the technologies and languages ​​used in order to share knowledge and drive project progress.

• Essential

  · 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; French is strongly valued.

• Preferred

  · 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.

  At Pierre Fabre Laboratories, we believe that our greatest asset is our people.

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