Data Engineering Intern: Build Production Pipelines

Jua; Zürich; Vor Ort; CHF 20.000 - 27.000; Vollzeit

Zusammenfassung

Jua in Zürich, Switzerland, is seeking an exceptional Data Engineering Intern eager to learn fast and own impactful work. You will collaborate with data and AI engineers to expand and refine Jua’s data infrastructure, focusing on data acquisition, validation, and integration using Dagster, Python, and cloud technologies.

Internship duration: 3 months (extendable to 6 months). You will onboard new datasets, build production-grade data pipelines, and contribute to documentation while learning from

Qualifikationen

• Pursuing or recently completed a Bachelor’s or Master’s degree in a relevant scientific/engineering field.
• Strong Python programming skills and familiarity with Git.
• Curiosity, high attention to detail, and ability to work in a fast-paced environment.

Aufgaben

• Integrate and onboard new weather, climate, and geospatial datasets into Jua’s data infrastructure.
• Build and maintain robust data pipelines using Dagster, ensuring reliability and scalability.
• Collaborate with engineers and scientists to validate data quality, completeness, and usability.
• Contribute to documentation and automation that improve data ingestion and processing workflows.
• Support hindcast generation and other foundational data operations to increase engineering throughput.
• Learn from mentors while contributing to production-grade systems powering Jua’s AI models.

Kenntnisse

Python programming

Git

Attention to detail

Ausbildung

Bachelor's or Master's in Computational Science/Engineering/Physics/Atmospheric/Earth Science

Tools

Dagster

Airflow

Prefect

Docker

Cloud platforms (GCP/AWS)

SQL

Jobbeschreibung

Jua in Zürich, Switzerland, is seeking an exceptional Data Engineering Intern eager to learn fast and own impactful work. You will collaborate with data and AI engineers to expand and refine Jua’s data infrastructure, focusing on data acquisition, validation, and integration using Dagster, Python, and cloud technologies.

Internship duration: 3 months (extendable to 6 months). You will onboard new datasets, build production-grade data pipelines, and contribute to documentation while learning from