Junior Data Engineer
Core
Developing and maintaining data pipelines, platforms, and analysis solutions for modern data infrastructure supporting analytics, statistics, and machine learning.
Role type
Junior Data Engineer
Builds
Data pipelines, data lakes, and containerized applications
Domain
Public sector / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python development, Git version control, data pipeline development, data lake architecture, containerization (Docker, Kubernetes), open-source components
Preferred skills
Public sector experience, Onyxia platform, Agile/Scrum/Kanban/DevOps, automation focus
Technologies
Python, Git, Docker, Kubernetes, data lakes, open-source components
Responsibilities
Develop and maintain data flows for collection, storage, and processing; Contribute to data platform development based on data lakes; Work with containerized applications; Collaborate in cross-functional teams; Ensure quality assurance and documentation of data solutions
Seniority
Junior, hands-on IC