Data Quality Systems Intern
HP is hiring a Data Quality Systems Intern in Barcelona, Spain. Level rates it ; you can apply on HP.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- The posting mentions Python, SQL and data science among its tools and skills.
- Level classes it as an internship.
- HP has 840 other open roles on Level.
- Posted in the last few days.
AI in this role
Develop data tools, automated controls using Python, SQL, and AI to verify product data accuracy and audit readiness.
Description -
Before applying please note that, to be eligible for this position, you must be currently enrolled at a university in Spain, remain enrolled until the end of the internship, and be eligible to sign an internship agreement with your university. You must also be available to start the internship in February 2027 and continue participating in the program until June–July 2027.
Data Quality Systems Intern
HP’s Take Back organization supports the responsible collection, recovery, and recycling of products at the end of their useful life. Reliable product data is essential to this mission, enabling accurate regulatory reporting, effective operational decisions, and strong collaboration with internal teams and external partners.
We are looking for a motivated student to join our team and help improve the quality, completeness, and consistency of product information across our databases. The intern will contribute to validating master data, identifying gaps or discrepancies, supporting corrective actions with stakeholders, and exploring automated solutions that make data checks more efficient and scalable.
This internship offers the opportunity to combine analytical thinking, technology, and sustainability in an international environment. The successful candidate will gain practical experience with data collection processes, databases, and automation while helping the Take Back organization strengthen data reliability and audit readiness. If you are curious, structured, and eager to solve real business challenges, we invite you to join us.
Key responsibilities:
- Develop data science and IT tools to extract information from product data documents and connect it with our databases.
- Use data analysis techniques to validate master data, monitor quality, identify gaps, and request updates from stakeholders.
- Build automated controls using Python, SQL, and AI to verify document accuracy, completeness, and audit readiness.
Requirements:
- Currently enrolled in a Bachelor’s or Master’s degree in Data Science, Computer Engineering, or a related field.
- Basic knowledge of Agentic AI, SQL, and Python.
- Analytical, curious, structured, organized, and team-oriented.
- Fluent in written and spoken English
Experience our benefits:
- Paid internship within a global, technology driven company.
- Join an international work environment, with opportunities for learning, professional development, and networking across teams.
- Flexible working schedule, with options for part-time agreements (4 hours/day) or full-time (8 hours/day). The length of the internship ranges from 4 to 12 months.
- Access to our intern community, including career development workshops, learning sessions, and social activities that help you grow professionally and connect with other interns.
- Mentor assigned.
- Opportunity to join the HP Graduate Program following the placement.
- Lunch at reduced prices at our canteen.
- Access to our on‑site sports center, including:
- Gym facilities
- Squash, tennis, and basketball courts
- 25+ organized sports and wellness activities, such as HIIT training, squash, basketball, and yoga
- Participation in the NextGen Employee Network, offering regular events and opportunities to connect with other early‑career professionals.
- On‑site medical services, including access to a doctor, nutrition support, physiotherapy, and general healthcare.
- Free printing access and hands‑on workshops using the latest HP technologies — from large‑format prints to 3D‑printed models.
- Easy commuting: Free parking available or excellent access via nearby train services.
- Women Network initiatives: Networking events, STEM promotion, business acumen talks, work–life balance sessions, and future‑skills development.
Sounds like you? Please apply and let’s talk!
Legal entity: Sales & Services
Job -
AdministrationSchedule -
Part timeShift -
No shift premium (Spain)Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"
How we rate this
Data Quality Systems Intern at HP rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where data quality was part of your work. What did you do?
- Tell me about a project where agentic ai was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Science, Data Quality, Agentic AI, Automation, and Data Analysis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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