🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines that power analytics and machine learning. Collaborate with data scientists and engineers in a fully remote, international environment. Your work will directly impact biotech, pharma, and enterprise analytics.

🎯 What You'll Do

• Design and maintain scalable data pipelines across multiple environments.
• Integrate structured and unstructured data into data warehouses and lakes.
• Develop and optimize ETL/ELT workflows for performance.
• Build database schemas, data models, and documentation.

📋 Requirements

• Python with clean and scalable architecture practices.
• SQL and database modeling with query optimization.
• Experience building ETL/ELT pipelines.
• Experience integrating data from APIs, databases, and streaming systems.

✨ Nice to Have

• Cloud platforms like AWS, Azure, or GCP.
• Docker, Kubernetes, and CI/CD tools.
• Life sciences, biotech, genomics, or clinical data background.

🎁 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)
• 📚 Development budget for training and conferences
• 🔬 High-impact projects in biotech and pharma

📨 Hiring Process

Estimated timeline: 1-2 weeks · AI estimate

1. 1Initial recruiter call· 30 min
2. 2Technical assessment· 60 min
3. 3Team fit interview· 45 min