AI & Data Engineering Intern

Description

The company is hiring an intern for its Data and AI team to help build modern data and AI solutions. The role combines data engineering with artificial intelligence and involves hands-on work on Databricks using real business problems.

You will learn how enterprise data becomes trusted data products that feed analytics, AI and intelligent applications, working with engineers, architects, analysts and business teams.

To be eligible you must be currently enrolled at a university in Spain, stay enrolled until the internship ends, and be able to sign an internship agreement with your university. You must be available to start in February 2027 and stay in the program until June or July 2027.

Responsibilities

• Build and maintain data pipelines and transformations in Databricks.
• Use Python and SQL to transform and prepare enterprise data.
• Help create reliable, reusable datasets that are ready for business use.
• Add data quality checks and help with data governance and documentation.
• Investigate how data can support AI-powered solutions and intelligent applications.
• Work with data engineers, data architects and business teams to turn business needs into technical solutions.
• Test new technologies and look for chances to innovate and automate.
• Learn and apply modern Data and AI engineering practices in a global enterprise.
• The work follows the team's current Databricks model, where Data Engineering covers pipelines, data quality, governed datasets and implementation in Unity Catalog.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Computer Engineering, Data Engineering or Artificial Intelligence.
• Solid skills in Databricks, Python and SQL.
• You do not need to know everything. The team wants solid fundamentals and a strong motivation to learn by doing.
• Proactive: you take initiative and look for ways to move work forward.
• Innovative: you like exploring new ideas, technologies and better methods.
• Curious: you ask questions, challenge assumptions and want to keep learning.

Conditions

Part-time (4 hours per day) or full-time (8 hours per day) schedule, with internships lasting 4 to 12 months.

Based on-site with access to a dedicated mentor throughout the internship.

Equal opportunity statement omitted.

Benefits

• Paid internship at a global, technology-driven company.
• International work environment with chances to learn, develop professionally and network across teams.
• Access to the intern community, including career development workshops, learning sessions and social activities.
• Opportunity to join the HP Graduate Program after the placement.
• Reduced-price lunch at the on-site canteen.
• On-site sports center with a gym, squash, tennis and basketball courts, and more than 25 organized sports and wellness activities such as HIIT, squash, basketball and yoga.
• Participation in the NextGen Employee Network with regular events for early-career professionals.
• On-site medical services including a doctor, nutrition support, physiotherapy and general healthcare.
• Free printing and hands-on workshops with the latest technologies, from large-format prints to 3D-printed models.
• Free parking and easy access by nearby train services.
• Access to Women Network initiatives, including networking events, STEM promotion, business acumen talks, work-life balance sessions and future-skills development.