{"id":3018469,"url":"https://alion.io/job/hp-data-quality-intern","title":"Data Quality Intern","company":{"id":2088298,"name":"HP","domain":"hewlett-packard.de","url":"https://alion.io/company/hewlett-packard-de","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":60,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":40000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":768},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-21T17:11:23Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T17:38:52Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Data Quality InternDescription -\nBefore 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 September 2027.\nAbout 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.\nThe 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.\nResponsibilities \nPerform end-to-end validation of data solutions, from source data through pipelines and transformations to reports, dashboards, or other final outputs.\nDefine and execute data quality checks covering accuracy, completeness, consistency, integrity, and expected business rules.\nSupport 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.\nDevelop and maintain reusable SQL queries, Python scripts, and automated checks for data validation and monitoring.\nValidate changes to data pipelines and outputs, helping ensure that updates do not introduce regressions or unexpected results.\nMaintain clear documentation of test cases, validation results, known issues, and resolution status.\nContribute 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.\nWhat 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.\nPreferred Background and Skills \nWe 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:\nCurrently enrolled in a Bachelor's or Master's degree in Computer Science, Data Engineering, AI, or a related field\nPython for data validation, automation, and scripting.\nSQL for querying, comparing, and validating data.\nDatabricks or similar data and analytics platforms.\nData flows beyond Databricks, including Power Automate, Power BI, and Power Query.\nData analysis, profiling, reconciliation, and anomaly detection.\nETL processes, data pipelines, jobs, and database fundamentals.\nData quality principles, testing methods, and root cause analysis.\nModern development environments and structured project practices.\nVersion control and collaborative development using GitHub.\nEnglish: minimum C1, with the ability to participate in meetings, understand technical documentation, and collaborate in an international environment.\nSpanish and/or Catalan are valued.\nAcademic projects, internships, research activities, hackathons, or other practical experience related to data quality, data engineering, software development, or automation are highly appreciated.\nWe are particularly interested in candidates who:\nDemonstrate curiosity and a continuous learning mindset.\nAre enthusiastic about exploring new technologies and ways of working.\nCan progress independently on assigned tasks while asking for support when needed. \nEnjoy collaborating within multidisciplinary teams.\nAre comfortable interacting with different stakeholders.\nShow initiative, organization, and a results-oriented approach.\nExperience our benefits:\nPaid internship within a global, technology driven company. \nJoin an international work environment, with opportunities for learning, professional development, and networking across teams. \nFlexible 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. \nAccess to our intern community, including career development workshops, learning sessions, and social activities that help you grow professionally and connect with other interns. \nMentor assigned. \nOpportunity to join the HP Graduate Program following the placement. \nLunch at reduced prices at our canteen. \nAccess to our on-site sports center, including: \nGym facilities \nSquash, tennis, and basketball courts \n25+ organized sports and wellness activities, such as HIIT training, squash, basketball, and yoga \nParticipation in the NextGen Employee Network, offering regular events and opportunities to connect with other early-career professionals. \nOn-site medical services, including access to a doctor, nutrition support, physiotherapy, and general healthcare. \nFree printing access and hands-on workshops using the latest HP technologies - from large-format prints to 3D-printed models. \nEasy commuting: Free parking available or excellent access via nearby train services. \nWomen Network initiatives: Networking events, STEM promotion, business acumen talks, work-life balance sessions, and future-skills development. \nSounds like you? Please apply and let’s talk!\nLegal entity: GBU\nJob -\nAdministrationSchedule -\nPart timeShift -\nNo shift premium (Spain)Travel -\nRelocation -\nEqual Opportunity Employer (EEO)-\nHP, 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).\nPlease 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.\nFor more information, review HP’sEEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal \"","description_format":"text","description_chars":6878,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":true}]},"benefits":["Continuous learning","Flexible schedule","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Laptops","Printers & Scanners"],"lifecycle":[{"event":"open","at":"2026-10-21T17:11:23Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":15,"reasons":["conf:0","stale_co","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-22T06:10:10Z"},"pay":null,"html_url":"https://alion.io/job/hp-data-quality-intern","json_url":"https://alion.io/job/hp-data-quality-intern.json","meta":{"generated_at":"2026-10-22T19:55:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3598,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2088298},"rest":"https://alion.io/mcp/rest/get_company?id=2088298"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhp-data-quality-intern"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fhp-data-quality-intern"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fhp-data-quality-intern"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/hp-data-quality-intern\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhp-data-quality-intern"}]}