Data Quality Intern DescriptionDesplácese hacia abajo para encontrar los detalles completos de la oferta de trabajo, incluyendo la experiencia requerida y las funciones y tareas asociadas.
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 *
* and continue participating in the program until September **.

About the role
We are looking for a final-year student or recent graduate in Computer Engineering, Data Science, Artificial Intelligence, or a related field to join our Digital Acceleration team on a part?time basis.
The primary focus of this role is end?to?end data quality assurance.
The selected candidate will help ensure that data is accurate, complete, consistent, and reliable across sources, pipelines, transformations, and final outputs.
The role will also provide occasional support for selected digital solutions, including maintaining our workstation environment and developing small scripts or utilities when needed.
ResponsibilitiesPerform end?to?end validation of data solutions, from source data through pipelines and transformations to reports, dashboards, or other final outputs.
Define and execute data quality checks covering accuracy, completeness, consistency, integrity, and expected business rules.
Support data quality investigations under the guidance of experienced team members, helping document findings, perform data validation activities, and contribute to root?cause analysis and resolution follow?up.
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 likeSuccess 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 SkillsWe 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 fieldPython for data validation, automation, and scriptingSQL for querying, comparing, and validating dataDatabricks or similar data and analytics platformsData flows beyond Databricks, including Power Automate, Power BI, and Power QueryData analysis,



profiling, reconciliation, and anomaly detectionETL processes, data pipelines, jobs, and database fundamentalsData quality principles, testing methods, and root?cause analysisModern development environments and structured project practicesVersion control and collaborative development using GitHubEnglish: minimum C1, with the ability to participate in meetings, understand technical documentation, and collaborate in an international environmentSpanish and/or Catalan are valuedAcademic projects, internships, research activities, hackathons, or other practical experience related to data quality, data engineering, software development, or automation are highly appreciatedWe are particularly interested in candidates who:Demonstrate curiosity and a continuous learning mindsetAre enthusiastic about exploring new technologies and ways of workingCan progress independently on assigned tasks while asking for support when neededEnjoy collaborating within multidisciplinary teamsAre comfortable interacting with different stakeholdersShow initiative, organization, and a results?oriented approachExperience our benefitsPaid internship within a integral, 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

📌 Stage Qualità (España)
🏢 HP
📍 España