🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines that power analytics, machine learning, and real-world decisions in a fully remote, international environment. Working with a highly skilled team, you'll collaborate with data scientists and engineers to ensure high-quality data flows for 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
• Collaborate with cross-functional teams to ensure data quality and accessibility

📋 Requirements

• Strong experience in backend development using Python
• Proficiency with frameworks such as FastAPI, Django REST, or Flask
• Solid understanding of SQL and database modeling
• Hands-on experience building and maintaining ETL/ELT pipelines

✨ Nice to Have

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

🎁 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 including training and conferences
• 🔬 Impactful projects in biotech, pharma, and enterprise analytics

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Offer· 15 min