Junior Data Engineer
Core
Developing and maintaining data pipelines, platforms, and analysis solutions for modern data infrastructure.
Role type
Junior Data Engineer
Builds
Data pipelines, data lakes, and analysis solutions
Domain
Public sector / Data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Git version control, data analysis and processing, cross-functional collaboration, data lake architecture, data pipeline development, containerization (Docker, Kubernetes), open-source components
Preferred skills
Public sector experience, Onyxia platform, Agile methodologies (Scrum, Kanban, DevOps), automation and reusability focus, large-scale development organization experience
Technologies
Python, Git, Docker, Kubernetes, data lakes, open-source components
Responsibilities
Develop and maintain data flows for data collection, storage, and processing; Work on Python-based development for data management and analysis; Contribute to data platform development based on data lakes; Manage code versioning in Git-based environments; Develop and use containerized applications; Collaborate with Data Engineers, developers, and business representatives; Ensure quality, documentation, and continuous improvement of data-related solutions
Seniority
Junior, hands-on IC