🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines that power analytics and machine learning for global organizations in biotech and pharma. Your work will directly impact scientific and business decisions by ensuring high-quality, reliable data flows. You'll collaborate with data scientists and ML engineers in a fully remote, international team.

🎯 What You'll Do

• Design and maintain scalable data pipelines across multiple environments.
• Integrate structured and unstructured data into warehouses and lakes.
• Develop and optimize ETL/ELT workflows for performance and reliability.
• Implement data governance, security standards, and compliance best practices.

📋 Requirements

• Strong experience in Python backend development with clean architecture.
• Proficiency in FastAPI, Django REST Framework, or Flask.
• Solid understanding of SQL, database modeling, and query optimization.
• Hands-on experience building and maintaining ETL/ELT pipelines.

✨ Nice to Have

• Knowledge of Docker, Kubernetes, and CI/CD tools.
• Experience in life sciences, biotech, or clinical data environments.
• Exposure to cloud platforms like AWS, Azure, or GCP.

🎁 Benefits & Perks

• 💰 B2B compensation up to 23,000 PLN net/month
• 🏠 Fully remote work with global collaboration
• 💻 Modern work equipment (MacBook or ThinkPad with Linux)
• 📚 Budget for professional development (training, certifications, conferences)
• 🔬 High-impact projects in biotech, pharma, and enterprise analytics

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter phone screen· 30 min
2. 2Technical interview· 60 min
3. 3Team fit interview· 45 min