Develop and maintain reusable SQL queries, Python scripts, and automated checks for data validation and monitoring.
Validate changes to data pipelines and outputs, helping ensure that updates do not introduce regressions or unexpected results.
Maintain clear documentation of test cases, validation results, known issues, and resolution status.
Contribute on an occasional basis to other Digital Acceleration activities, such as maintaining the team workstation environment and developing small scripts or utilities for internal tools.
What success looks like: Success in this role means building confidence in the data used by our teams: detecting issues early, making validation repeatable, and helping ensure that data solutions remain reliable over time. The ideal candidate is not expected to master every technology from day one. We value analytical thinking, attention to detail, learning agility, ownership, and a proactive approach to problem solving.
Preferred Background and Skills
We are looking for a solid technical foundation, an analytical mindset, attention to detail, and a willingness to learn. Experience in all areas is not required, but exposure to some of the following would be highly valued:
Currently enrolled in a Bachelor's or Master's degree in Computer Science, Data Engineering, AI, or a related field
Python for data validation, automation, and scripting.
SQL for querying, comparing, and validating data.
Databricks or similar data and analytics platforms.
Data flows beyond Databricks, including Power Automate, Power BI, and Power Query.
Data analysis, profiling, reconciliation, and anomaly detection.
ETL processes, data pipelines, jobs, and database fundamentals.
Data quality principles, testing methods, and root cause analysis.
Modern development environments and structured project practices.
Version control and collaborative development using GitHub.
English: minimum C1, with the ability to participate in meetings, understand technical documentation, and collaborate in an international environment.
Spanish and/or Catalan are valued.
Academic projects, internships, research activities, hackathons, or other practical experience related to data quality, data engineering, software development, or automation are highly appreciated.
We are particularly interested in candidates who
Demonstrate curiosity and a continuous learning mindset.
Are enthusiastic about exploring new technologies and ways of working.
Can progress independently on assigned tasks while asking for support when needed.
Enjoy collaborating within multidisciplinary teams.
Are comfortable interacting with different stakeholders.
Show initiative, organization, and a results-oriented approach.
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: GBU
- Shift -
- 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"
