Lead Data Engineer (Biotech)

TL;DR

Lead Data Engineer (Biotech): Defining, standardizing, and scaling data engineering practices on the company's data platform with an accent on industrialization, automation, and CI/CD. Focus on building reusable frameworks, driving the adoption of best practices across teams, and contributing hands-on to critical Databricks implementations.

Location: Hybrid role based in Paris, France

Company

hirify.global is a global mid-sized 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 tools and automation to enforce quality and consistency at scale.
• Contribute hands-on to data pipelines and critical implementations on Databricks.
• Drive the industrialization of data engineering through CI/CD, testing, and automation.
• Lead and animate the Data Engineering community of practice to promote alignment and knowledge sharing.
• Collaborate with platform, data, and business teams to ensure scalable solutions.

Requirements

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

Nice to have

• Experience with Generative AI topics.

Culture & Benefits

• Opportunity to shape data engineering standards at an enterprise scale.
• Work on modern data platforms including Databricks, AWS, and AI.
• Impactful role contributing to life-changing projects for patients.
• Culture of collaboration, excellence, and human-centric leadership.