🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines that power analytics and machine learning for global organizations. You'll collaborate with data scientists and ML engineers to ensure high-quality data flows. This fully remote role offers strong ownership across data architecture and engineering best practices.

🎯 What You'll Do

• Design, build, and maintain scalable data pipelines.
• Integrate structured and unstructured data into data warehouses and lakes.
• Develop and optimize ETL/ELT workflows.
• Build and refine database schemas and data models.

📋 Requirements

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

✨ Nice to Have

• Experience with AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, and CI/CD.
• 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 opportunities.
• 💻 Modern work equipment (MacBook or ThinkPad with Linux).
• 📚 Budget for professional development including training and conferences.
• 🧬 High-impact 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