Lead Data Engineer, Pharma R&D (AWS / Lakehouse)

pierrefabre; Occitanie; On-site; EUR 80,000 - 110,000; Full time

Job summary

Pierre Fabre Laboratories is seeking a skilled Data Engineer to define, build, and maintain data infrastructures enabling Data Science teams to analyze large datasets efficiently. You will design data pipelines, ensure data quality and security, and enable cross-system interoperability.

Fluency in English is expected, French ability is valued. You will lead production-grade cloud data platforms and collaborate with stakeholders across pharmaceutical and dermo-cosmetics domains, contributing to a

Qualifications

• Significant experience in data engineering and ownership of production-grade cloud data platforms.
• Demonstrated experience leading and developing data engineers.
• Strong experience with AWS and a modern data platform or lakehouse/warehouse (e.g., Databricks, Snowflake, SageMaker Unified Studio).
• Advanced SQL and Python skills, data modelling, ETL/ELT, orchestration, APIs and distributed processing.

Responsibilities

• Define, develop, set up and maintain infrastructures and collection/storage tools for smooth data analysis by Data Science teams.
• Design, test, document and implement data solutions to process large volumes from internal/external sources.
• Apply security rules and ensure data sources are accessible when needed.
• Organize data flows from sources to storage bases and qualify data confidence.
• Ensure usability for Data Analysts/Scientists and interoperability between systems.

Skills

Data engineering

Cloud data platforms

SQL

Python

Data modelling

ETL/ELT

Stakeholder communication

English fluency

Education

Master's degree

Tools

AWS

Databricks

Snowflake

SageMaker Unified Studio

Azure

Job description

Pierre Fabre Laboratories is seeking a skilled Data Engineer to define, build, and maintain data infrastructures enabling Data Science teams to analyze large datasets efficiently. You will design data pipelines, ensure data quality and security, and enable cross-system interoperability.

Fluency in English is expected, French ability is valued. You will lead production-grade cloud data platforms and collaborate with stakeholders across pharmaceutical and dermo-cosmetics domains, contributing to a