{"id":1462357,"url":"https://alion.io/job/group24-ag-data-engineer-cloud-data-platform-engineer-mwd","title":"Data Engineer / Cloud Data Platform Engineer (m/w/d)","company":{"id":674069,"name":"group24","domain":"group24.de","url":"https://alion.io/company/group24","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Join","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gescher, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":133000,"period":"year","method":"role_country_seniority_unknown","sample_n":59},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-09T07:20:15Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-15T21:54:09Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"Du hast Spaß daran, skalierbare Datenarchitekturen aufzubauen, moderne Datenpipelines zu entwickeln und heterogene Datenquellen in saubere, hochperformante Datenmodelle zu überführen? Du möchtest an anspruchsvollen Projekten arbeiten und Unternehmen dabei unterstützen, ein zukunftsfähiges Fundament für Analytics, BI und datengetriebene Entscheidungen zu schaffen? Dann komm zu uns ins Team als Data Engineer / Cloud Data Platform Engineer (m/w/d).\nDeine Aufgaben\nDu konzipierst, implementierst und betreibst moderne Data-Platform- und Warehouse-Lösungen in Cloud-Umgebungen.\nDu entwickelst robuste, automatisierte Batch- und Streaming-Pipelines zur Extraktion, Transformation und Bereitstellung von Daten (z. B. via Python, SQL, dbt).\nDu modellierst performante Datenstrukturen (z. B. Medallion Architecture / Bronze-Silver-Gold, Data Vault, Star-Schema) und stellst Schnittstellen für BI- und Reporting-Teams bereit.\nDu übersetzt funktionale und analytische Geschäftsanforderungen in skalierbare technische Spezifikationen und Datenmodelle.\nDu begleitest und steuerst Projekte eigenverantwortlich - von der Quellanbindung über die Transformation bis hin zur produktiven Cloud-Orchestrierung.\nDu verantwortest Datenqualität, Monitoring, Performance-Optimierung und automatisiertes Testing entlang der gesamten Pipeline.\nDu dokumentierst Architekturen, Datenflüsse sowie Datenkataloge und stellst eine transparente Kommunikation mit Stakeholdern und Projektteams sicher.\nDein Profil\nDu hast ein abgeschlossenes Studium im Bereich Informatik, Wirtschaftsinformatik oder eine vergleichbare Ausbildung bzw. praktische Berufserfahrung.\nDu bringst fundierte Erfahrung im Data Engineering, in der Datenmodellierung und im Aufbau moderner Data-Warehouse-/Lakehouse-Architekturen mit.\nDu besitzt praxisprobte Kenntnisse in mindestens einem relevanten Cloud-Ökosystem: Google Cloud Platform (BigQuery, Cloud Run, Cloud Composer/Workflows), Microsoft Fabric / Azure (Synapse, Data Factory, Databricks, Fabric Lakehouse)\nDu schreibst sauberen, performanten Code in SQL und Python.\nErfahrung mit modernen Data-Ops- und Transformations-Tools wie dbt, Orchestratoren (z. 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