A
AILY LABS
Data Practitioner Intern (3 - 6 Month Internship)
Skills
Data EngineeringPythonMachine LearningAI
19 days ago
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Important information
Contract type:
Internship
Location:
Madrid, Spain
Work mode:
Hybrid
Published on:
7 October 2026
What they need
- As a Data Practitioner Intern, you will support the team in building and maintaining the data infrastructure that powers Aily’s AI platform
- Support the development and maintenance of data pipelines and ETL processes
- Assist in implementing data transformations and quality checks
- Work with Python to process, validate, and manipulate datasets
- Collaborate with Data Engineers, Data Scientists, and ML Engineers to ensure data availability and reliability
- Contribute to monitoring and improving data workflows under the guidance of senior team members
- Learn and work with modern data stack tools (data warehouse, orchestration, streaming, etc.)
- Minimum duration: 3 months, with the possibility to extend up to 6 months
Benefits
- Hybrid working model
- Fast growth path
- Global company and culture- We are looking for students or recent graduates who want to gain hands-on experience as a Data Practitioner within a fast-growing AI company
- This internship is designed for individuals who are passionate about data, enjoy solving technical problems, and want to learn how scalable data systems are built in real production environments
- Currently studying or recently graduated (Bachelor’s or Master’s) in Computer Science, Information Systems, Software Engineering, or a related field
- Proactive, hands-on attitude and strong problem-solving skills
- Strong interest in Data Engineering, data infrastructure, and AI systems
- Solid foundational knowledge of Python
- Analytical mindset and willingness to learn in a fast-paced environment
- Advanced level of English (spoken and written)
- Curious and motivated students who want real-world experience building scalable data systems that power AI at enterprise scale. If you are excited about learning, contributing, and growing within a high-impact AI environment, we would love to hear from you- Start date: flexible – you can join at any time
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