🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines that power analytics and machine learning, supporting global organizations in turning complex datasets into actionable insights. You'll collaborate with data scientists and ML engineers in a fully remote environment. This role offers strong ownership across data architecture and engineering best practices.

🎯 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.
• Build and refine database schemas and data models.

📋 Requirements

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

✨ Nice to Have

• Experience with cloud platforms like AWS, Azure, or GCP.
• Knowledge of Docker, Kubernetes, and CI/CD tools.
• Experience in life sciences or biotech 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).
• 📚 Budget for professional development including training and conferences.
• 🔬 High-impact projects in biotech, pharma, and enterprise analytics.

📨 Hiring Process

Estimated timeline: 1-2 weeks · AI estimate

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