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

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

Your mission

Define, develop, set up and ensure the maintenance of infrastructures and collection and storage tools to allow a smooth analysis of the data by the Data Science / Data analysis teams

• 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.

Who you are ?

Your skills at the service of innovative projects:

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.

We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee based on race, color, religion, creed, national origin or ancestry, sex, sexual orientation, gender identity or expression, age, physical or mental disability, veteran or military status, genetic information, or any other legally recognized protected basis under federal, state, or local law. The information collected by this application is solely to determine suitability for employment, verify identify, and maintain employment statistics on applicants. Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. Please inform the company’s personnel representative if you need assistance completing this application or to otherwise participate in the application process. Thus, we commit to considering all applications equally, without fail.

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