About the role:

As a Data Engineer, you will be part of the Engineering team, supporting the development and maintenance of data pipelines for scientific processing and quality assurance. You will participate in designing, optimizing, and maintaining ETL/ELT pipelines using Airflow, working within established frameworks to ensure reliability, scalability, and compliance with data governance standards.

Your primary responsibilities will include organizing and structuring data systems, ensuring accurate reporting of pipeline performance, and contributing to scientific and healthcare data processing workflows. The role requires attention to detail, the ability to manage multiple priorities, and strong collaboration skills to work effectively with engineers, data scientists, and researchers.

You will focus on streamlining production workflows, ensuring proper monitoring and operational efficiency, and implementing best practices for data governance and security.

In particular, you will:

• Support the design and optimization of data pipelines using Airflow.
• Develop and operate Python and SQL-based solutions for data processing.
• Contribute to the development of scalable ETL/ELT pipelines to process and transform datasets.
• Work closely with data scientists, business developers, software engineers, and biomedical researchers to deliver high-quality data solutions.
• Contribute to management and monitoring of containerized data infrastructures with Docker, Kubernetes, and cloud platforms.
• Follow best practices for data governance, security, and compliance in all workflows.
• Operate on the data architectures, including data lakes, data warehouses, and analytical insights platforms.
• Contribute to the productionization of data processing pipelines, ensuring efficiency and scalability in scientific data workflows.

Position is based in our Paris or Nantes offices or remotely in France.

About you

• Proficiency in Python and SQL.
• Familiarity with Airflow for workflow orchestration.
• Familiarity with cloud-based data storage and cloud-native processing concepts.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Knowledge of data governance and security fundamentals.
• Ability to work with structured and unstructured datasets in predefined formats.

Please submit your CV in English

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