Data Practitioner Intern: Build AI Data Pipelines (Hybrid)

AILY LABS; Barcelona; Híbrido; EUR 7000 - 11.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Hybrid work (2 days in office)

Flexible internship duration

Mentorship by senior engineers

Descripción de la vacante

Aily Labs in Barcelona/Madrid is seeking a Data Practitioner Intern to join our AI-powered data platform. You will help build and maintain data pipelines, implement ETL processes, and work with Python to process datasets.

This is a hands-on role in a fast-growing B2B SaaS company, with a hybrid work model and flexible start date. Ideal candidates are students or recent graduates in CS/IS/SE, with solid Python skills, strong English, and a curiosity for data engineering and AI systems.

Formación

• Currently studying or recently graduated in CS/IS/SE or related field.
• Solid foundation in Python.
• Strong interest in Data Engineering and AI systems.
• Analytical mindset and eagerness to learn in fast-paced environment.
• Advanced level of English (spoken and written).
• Proactive and hands-on attitude.

Responsabilidades

• Support development and maintenance of data pipelines and ETL processes.
• Assist in data transformations and quality checks.
• Work with Python to process, validate, and manipulate datasets.
• Collaborate with Data Engineers, Data Scientists, and ML Engineers.
• Contribute to monitoring data workflows under guidance of senior team members.
• Learn and work with modern data stack tools.

Conocimientos

Python

Analytical mindset

English (Advanced)

Educación

Bachelor's or Master's in Computer Science, Information Systems, Software Engineering, or related field

Descripción del empleo

Aily Labs in Barcelona/Madrid is seeking a Data Practitioner Intern to join our AI-powered data platform. You will help build and maintain data pipelines, implement ETL processes, and work with Python to process datasets.

This is a hands-on role in a fast-growing B2B SaaS company, with a hybrid work model and flexible start date. Ideal candidates are students or recent graduates in CS/IS/SE, with solid Python skills, strong English, and a curiosity for data engineering and AI systems.