🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines that power analytics and machine learning for global organizations. Your work supports impactful domains like biotech and pharma, with strong ownership across data architecture. You'll collaborate in a fully remote, international environment.

🎯 What You'll Do

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

📋 Requirements

• Strong experience in Python with clean, scalable architecture practices.
• Solid understanding of SQL, database modeling, and query optimization.
• Hands-on experience building and maintaining ETL/ELT pipelines.
• Experience integrating data from multiple sources such as APIs, databases, and streaming systems.

✨ 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, genomics, or clinical data environments.

🎁 Benefits & Perks

• 💰 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
• 🔬 High-impact projects in biotech and pharma

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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