Jobgether
Website:
jobgether.com
Job details:
Accountabilities
In this role, you will be responsible for designing, developing, and maintaining scalable data systems that support large and diverse datasets.
- Design, build, and maintain scalable data pipelines across multiple environments and data sources.
- Integrate structured and unstructured data into data warehouses and data lakes.
- Collaborate with cross-functional teams to ensure data quality, consistency, and accessibility.
- Develop and optimize ETL/ELT workflows for performance, reliability, and maintainability.
- Build and refine database schemas, data models, and technical documentation.
- Implement data governance, security standards, and compliance best practices.
- Monitor data systems and continuously improve integrity, scalability, and efficiency.
Requirements
We are looking for a strong backend-oriented Data Engineer with solid experience in Python and modern data engineering practices.
- Strong experience in backend development using Python, with clean and scalable architecture practices.
- Proficiency with frameworks such as FastAPI, Django REST Framework, or Flask.
- 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.
- Familiarity with distributed systems or large-scale data processing tools.
- Understanding of data governance, security, and data quality principles.
- Exposure to cloud platforms such as AWS, Azure, or GCP is a plus.
- Knowledge of Docker, Kubernetes, and CI/CD tools is advantageous.
- Experience in life sciences, biotech, genomics, or clinical data environments is a strong plus.
- Strong collaboration skills and ability to work effectively in distributed, international teams.
Benefits
- 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 environment).
- Budget for professional development, including training, certifications, and conferences.
- Opportunity to work on high-impact projects in biotech, pharma, and enterprise analytics.
- Exposure to cutting-edge data engineering and scientific data challenges.
- Collaborative, supportive, and high-performing engineering culture.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Click on Apply to know more.