🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines for global organizations, turning complex datasets into actionable insights. Your work directly powers analytics, ML, and business decisions in biotech and pharma. You'll enjoy full ownership of data architecture and engineering best practices.

🎯 What You'll Do

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

📋 Requirements

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

✨ Nice to Have

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

🎁 Benefits & Perks

• 💰 Competitive 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)

📨 Hiring Process

Estimated timeline: 1-2 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 15 min