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Data Practitioner Intern (3 - 6 Month Internship)

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Hybrid

Data Practitioner Intern (3 - 6 Month Internship)

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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