[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-cloud-data-engineer":3,"similar-cloud-data-engineer":31},{"id":4,"slug":5,"title":6,"skills":7,"budget":17,"duration":18,"location":17,"onsitePercent":19,"contractType":20,"foundAt":21,"category":22,"description":26,"rawText":27,"language":28,"projectId":29,"sourceUrl":30},2457,"cloud-data-engineer","Cloud Data Engineer",[8,9,10,11,12,13,14,15,16],"Looker","LookML","Google Cloud Platform","BigQuery","Hub-and-Spoke-Architektur","Git","BI-Workflows","API-Anbindungen","automatisiertes Testing",null,"September 2026",0,"contracting","2026-05-13T13:06:20+00:00",{"id":23,"slug":24,"label":25},4,"data_analytics","Data & Analytics","Hands-on-Rolle als Cloud Data Engineer mit Schwerpunkt auf Looker für einen europaweit bedeutenden Omnichannel-Retailer. Aufbau einer zentralen Hub-and-Spoke-Architektur in Looker mittels LookML und Anbindung von BigQuery-Datenstrukturen. Implementierung moderner BI-Standards wie Git und automatisiertes Testing.","Cloud Data Engineer\n\nBeginn: a.s.a.p. \u002F Dauer: September 2026 \u002F Ort: Remote \u002F Projekt-ID: 5372\n\nUnser Kunde ist ein europaweit bedeutender Omnichannel-Retailer und versorgt täglich Millionen von Kunden. In dieser operativen Hands-on-Rolle unterstützen Sie das bestehende IT-Team als Cloud Data Engineer. Ihr absoluter Schwerpunkt liegt dabei zwingend auf Looker: Sie schreiben sauberen LookML-Code für eine zentrale Hub-and-Spoke-Architektur, binden BigQuery-Datenstrukturen an und setzen moderne BI-Standards wie Git und automatisiertes Testing im Tagesgeschäft um.\n\nIhre Aufgaben:\n\n- Konzeption, Aufbau und Pflege einer zentralen Hub-and-Spoke-Architektur in Looker mittels LookML zur Etablierung einer \"Single Source of Truth\"\n- Ganzheitliche Systemverwaltung inklusive Berechtigungskonzepten, Content-Management und der Anbindung über die Looker API\n- Schnittstellenübergreifende Beratung bei der Modellierung von Datenstrukturen in Google BigQuery, damit diese perfekt auf den Looker Hub abgestimmt sind\n- Definition und Implementierung von BI-Coding-Standards für LookML (Modularisierung) und Versionierung via Git\n- Aufbau von automatisierten Testverfahren\nIhr Profil:\n\n- Erfahrener Cloud Data Engineer oder BI Architekt mit nachweisbarer, extrem tiefer Expertise in Looker und LookML\n- Praxis in der Umsetzung von Hub-and-Spoke-Konzepten in Looker, insbesondere Project Imports, Refinements, Base Views\n- Fundiertes technisches Verständnis für die Google Cloud Platform (GCP), insbesondere BigQuery\n- Sicherer Umgang mit modernen BI-Workflows, Versionskontrolle (Git), automatisiertem Testing und API-Anbindungen\n- Sehr gute Deutschkenntnisse oder verhandlungssichere Englischkenntnisse\nWir freuen uns auf Ihre Bewerbung oder ggf. Ihre Empfehlung eines geeigneten Kollegen. Bitte senden Sie Ihr aktuelles Profil in Deutsch oder Englisch an\n\nPetra Haack\nTeamleitung Recruitment & Talent Akquisition\n25 Jahre Best in Class IT Recruitment\n\nE-Mail: petra.haack@varius-it.com petra.haack@varius-it.com\nwww.varius-it.com\n\n| VARIUS IT GmbH & Co. KG | An der Alster 62 | D-20099 Hamburg | HRA 100607 AG Hamburg | Geschäftsführer: Matthias Feddersen |","de","5372","https:\u002F\u002Fwww.varius-it.com\u002Fprojektangebote?tx_variusitprojects_projectlist%5Baction%5D=show&tx_variusitprojects_projectlist%5Bcontroller%5D=Project&tx_variusitprojects_projectlist%5BpluginUid%5D=20&tx_variusitprojects_projectlist%5BprojectID%5D=5372&cHash=e18ebb22e8b128da1cc4af56d4735731&type=482675",{"items":32},[33,48,68,84,98],{"id":34,"slug":35,"title":36,"skills":37,"budget":42,"duration":43,"location":44,"onsitePercent":45,"contractType":20,"foundAt":46,"category":47},4900,"product-manager-data-analytics","Product Manager Data & Analytics",[25,38,39,40,41],"Product Management","AI","Danish","English","Negotiable","6 Monate mit Verlängerungsmöglichkeit","Copenhagen",60,"2026-05-20T15:45:28+00:00",{"id":23,"slug":24,"label":25},{"id":49,"slug":50,"title":51,"skills":52,"budget":17,"duration":64,"location":65,"onsitePercent":17,"contractType":20,"foundAt":66,"category":67},4835,"data-solution-architect-delivery-lead-mfd","Data \u002F Solution Architect (Delivery Lead) (m\u002Ff\u002Fd)",[53,54,55,56,57,58,59,60,61,62,63],"Data Architecture","Solution Architecture","Treasury","MS SQL Server","SSAS","Databricks","Microsoft Azure","Data Modeling","Kimball","Lakehouse","Stakeholder Management","Start: 06\u002F26","Vienna","2026-05-20T13:21:14+00:00",{"id":23,"slug":24,"label":25},{"id":69,"slug":70,"title":71,"skills":72,"budget":17,"duration":17,"location":65,"onsitePercent":17,"contractType":20,"foundAt":82,"category":83},4834,"data-governance-data-quality-engineer-mfd","Data Governance & Data Quality Engineer (m\u002Ff\u002Fd)",[73,74,75,76,77,78,79,80,81],"Data governance frameworks","DAMA","GDPR","Databricks Unity Catalog","Data lineage tools","Data validation frameworks","SQL","Testing tools","Azure","2026-05-20T13:21:07+00:00",{"id":23,"slug":24,"label":25},{"id":85,"slug":86,"title":87,"skills":88,"budget":17,"duration":17,"location":17,"onsitePercent":19,"contractType":20,"foundAt":96,"category":97},4832,"data-engineer-nearshore-german-speaking-mfd","Data Engineer (Nearshore - German speaking) (m\u002Ff\u002Fd)",[79,89,90,91,92,93,94,95],"DBT","Python","Data Warehousing","ETL","Snowflake","Apache Airflow","Data Pipeline Orchestration","2026-05-20T13:20:53+00:00",{"id":23,"slug":24,"label":25},{"id":99,"slug":100,"title":101,"skills":102,"budget":111,"duration":112,"location":113,"onsitePercent":19,"contractType":20,"foundAt":114,"category":115},4826,"100-remote-data-engineer-ms-azure-python-mwd","100% remote: Data Engineer – MS Azure \u002F Python (m\u002Fw\u002Fd)",[90,103,104,105,106,107,108,109,110],"Azure Synapse","Microsoft Fabric","FastAPI","Data Engineering","API-Entwicklung","Power BI","Scrum","Kanban","Verhandelbar","2026 (140 Personentage)","Berlin","2026-05-20T13:05:35+00:00",{"id":23,"slug":24,"label":25}]