Lead Data Engineer (Databricks)

Location: Paris, France; hybrid work

Company

hirify.global is a global biopharmaceutical company focused on transformative medicines in oncology, rare disease, and neuroscience.

What you will do

• Define and implement data engineering standards, best practices, and development frameworks.
• Build reusable tools and automation to enforce standards and data quality at scale.
• Develop data pipelines and critical implementations on Databricks.
• Industrialize data engineering through CI/CD, testing, and automation.
• Lead the Data Engineering community of practice and promote knowledge sharing.
• Collaborate with platform, data, and business teams on consistent, scalable solutions.

Requirements

• Strong data engineering experience, including hands-on Databricks development.
• Experience designing and implementing data engineering frameworks or standards.
• Strong knowledge of AWS, cloud platforms, and modern data architectures.
• Experience with CI/CD tools and practices, including GitHub and GitHub Actions.
• Ability to combine hands-on technical work with technical leadership and influence in matrix environments.
• Fluent English and strong communication skills.

Nice to have

• AWS experience in addition to Databricks expertise.
• Familiarity with generative AI topics.

Culture & Benefits

• Opportunity to shape data engineering standards at enterprise scale.
• Work with modern data platforms including Databricks, AWS, and AI technologies.
• Combination of hands-on engineering and technical leadership.
• Opportunity to influence how data and AI solutions are built and scaled across the organization.