{"id":2377017,"url":"https://alion.io/job/cheil-germany-gmbh-data-engineer-working-student","title":"Data Engineer Working Student","company":{"id":1816631,"name":"Cheil Germany GmbH","domain":"cheil.de","url":"https://alion.io/company/cheil-de","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"intern","employment_type":"part_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["DE"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Bitbucket","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-09-11T12:19:53Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-14T12:11:50Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"Deine Aufgaben\nSupport the development and maintenance of data pipelines.\nAssist in data cleaning, preparation, and validation across stage, model, and mart layers.\nHelp optimize SQL queries and troubleshoot data issues.\nContribute to maintaining data quality and ensuring smooth report automation.\nCollaborate with data analysts and data scientists to deliver usable data.\nAssist in documentation for internal knowledge sharing.\nDein Profil\nStudying Computer Science, Data, Information Systems, or related field.\nHands-on experience in Python, SQL, Excel and Tableau.\nUnderstanding of ETL/ELT concepts; exposure to tools like Airflow or Docker is a plus.\nFamiliarity with data source coming from Excel, CSV, Json.\nBasic understanding of Git/Bitbucket and cloud platforms (AWS is a plus).\nGood analytical skills, attention to detail, and willingness to learn\nWas wir anbieten\nLeisure & FlexibilityHybrid Work: You can flexibly combine office and remote work.\nFlexible hours model: Work at your own pace - between 7:30 a.m. and 7:30 p.m.\nTraining & Financial Benefits\nLinkedIn Learning access: Choose from thousands of courses and continuously develop yourself.\nCorporate benefits f rom day one - secure exclusive employee discounts.\nCompany pension plan: We support you with an attractive direct insurance.\nEmployee referral program: Recommend us and receive an attractive bonus\nHealth & Well-being\nFITSEVENELEVEN benefits* - stay fit with discounts at selected fitness clubs.\nMental health focus: Our EAP is available to you and your family members.\nHealthy at work: Occupational health care including eye tests, flu vaccinations, and glasses allowance.\nSabbatical: After 2 years of service, you can take a well-deserved break. \nPeople & Work Environment\nDelicious food, subsidized: In the SAMSUNG canteen or at the Foodji* machine. \nLet’s celebrate! 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