🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines that power analytics and machine learning. Working in a fully remote, global team, you'll collaborate with data scientists and developers. This role offers strong ownership across data architecture and engineering best practices in impactful domains like biotech and pharma.

🎯 What You'll Do

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

📋 Requirements

• Python backend development with clean, scalable architecture.
• SQL for database modeling and query optimization.
• Experience building and maintaining ETL/ELT pipelines.
• Integrating data from APIs, databases, and streaming systems.

✨ Nice to Have

• Cloud platforms like AWS, Azure, or GCP.
• Docker, Kubernetes, and CI/CD tools.
• Experience in life sciences, biotech, or genomics.

🎁 Benefits & Perks

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

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Take-home Assignment· 2-3 days