Key skills
AWSAzureCloudDistributed SystemsDjangoDockerETLFlaskGoogle Cloud PlatformKubernetesPythonSQLRMLELTData EngineeringFastAPIGCPGoogle CloudGitHub ActionsGitLab CIGitHubGitLabPerformance OptimizationCI/CDRemote Work
About this role
Role Overview
- Design, build, and maintain scalable data pipelines across diverse environments
- Integrate data from multiple internal and external sources into data warehouses or data lakes
- Collaborate closely with Data Scientists, ML Engineers, and Developers to ensure data quality, structure, and availability
- Monitor and improve data integrity, performance, and reliability
- Build and optimize database schemas, data models, and documentation
- Implement data governance, security best practices, and compliance standards
Requirements
- Backend Python Development
- Strong experience building scalable backend systems in Python
- Comfortable with modern language features (type hints, decorators, generators)
- Able to design clean, maintainable APIs using FastAPI, Django REST Framework, or Flask
- Good understanding of performance optimization and Python internals
- A collaborative mindset — you enjoy working closely with cross-functional teams
- Data Engineering
- Hands-on experience designing and operating ETL/ELT pipelines
- Solid SQL skills and ability to model, optimize, and maintain database structures
- Experience integrating data from multiple sources (databases, APIs, streaming)
- Familiarity with large-scale data processing tools or distributed systems
- Nice to have: Experience with cloud platforms (AWS/Azure/GCP)
- Knowledge of R
- Experience with Docker, Kubernetes, and CI/CD tools (GitHub Actions, GitLab CI)
- Understanding of data governance, metadata management, and security
- Experience in life sciences, biotech, genomics, or enterprise data environments
- Prior remote work experience with international teams
- Life science skills: Molecular Biology & Bioinformatics, Clinical Trials
- Data Tools & Flow, CDISC & Clinical Data Standards, Nextflow
Tech Stack
- AWS
- Azure
- Cloud
- Distributed Systems
- Django
- Docker
- ETL
- Flask
- Google Cloud Platform
- Kubernetes
- Python
- SQL
Benefits
- Competitive B2B compensation with clear salary ranges (up to 23.000 PLN net B2B)
- Modern equipment (MacBook / ThinkPad + Linux environment)
- Budget for professional development (certifications, courses, conferences)
- Opportunity to collaborate with industry experts on innovative data products
- A supportive, ambitious, and friendly team that cares about excellence
- Fully remote work