[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-senior-data-engineer-2":3,"similar-senior-data-engineer-2":33},{"id":4,"slug":5,"title":6,"skills":7,"budget":18,"duration":19,"location":20,"onsitePercent":21,"contractType":22,"foundAt":23,"category":24,"description":28,"rawText":29,"language":30,"projectId":31,"sourceUrl":32},2452,"senior-data-engineer-2","Senior Data Engineer",[8,9,10,11,12,13,14,15,16,17],"Azure Databricks","Data Factory","Functions","DevOps","Python","SSIS","SSAS","SSRS","Data Engineering","Daten Pipelines",null,"12 Monate","Berlin",0,"contracting","2026-05-13T13:05:53+00:00",{"id":25,"slug":26,"label":27},4,"data_analytics","Data & Analytics","Senior Data Engineer im Team Digital & Data eines internationalen Energieversorgungsunternehmens. Implementierung von Daten Pipelines mittels Azure Databricks, Data Factory und Python. Anforderungsanalyse, Architekturaufgaben und Teilprojektleitung.","Senior Data Engineer\n\nBeginn: a.s.a.p. \u002F Dauer: 12 Monate \u002F Ort: Remote \u002F Berlin \u002F Projekt-ID: 5377\n\nUnser Kunde ist ein Technologieführer auf dem internationalen Energieversorgungsmarkt mit einem Umsatz von 2 Milliarden Euro, einem EBIT von 750 Millionen Euro und einem starken Engagement für erneuerbare Energien. Als Senior Data Engineer im Team „Digital & Data“ tragen Sie dazu bei, wertvolle Informationen als hochwertige Datenprodukte konzernweit verfügbar zu machen. Sie sind Enabler für Fachbereiche und haben Freude am Know-how Transfer auf Teammitglieder.\n\nIhre Aufgaben:\n\n- Anforderungsanalyse und Anforderungsmanagement gemeinsam mit Fachbereichen\n- Implementierung von Daten Pipelines mittels Azure Databricks, Data Factory, Functions sowie DevOps\n- Übernahme von Architekturaufgaben und Teilprojektleitung\n- Neuentwicklung und Weiterentwicklung von Datenpipelines mit Python\n- Erstellung integrierter, robuster und wiederverwendbarer Lösungen\n- Dokumentation, Qualitätssicherung und Test\nIhr Profil:\n\n- Abgeschlossenes Studium der Informatik, Wirtschaftsinformatik oder vergleichbare Qualifikation\n- Mehr als 3 bis 5 Jahre Erfahrung als Data Engineer in komplexen IT-Projekten\n- Erfahrung in der Implementierung von Daten Pipelines mittels Azure Databricks, Data Factory, Functions etc.\n- Erfahrung in der Implementierung von Daten Pipelines mit den On-Prem BI Tools SSIS, SSAS und SSRS\n- Erfahrung in der Implementierung von Daten Pipelines mit Python in einer Databricks Umgebung\n- Ausgeprägte Kundenorientierung und Hands-On Mentalität\n- Branchenerfahrung Energieversorgung von Vorteil\n- Sehr gute 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","5377","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=5377&cHash=d2c6f486be7500d08c8ce6ab3e710bcc&type=482675",{"items":34},[35,50,69,85,98],{"id":36,"slug":37,"title":38,"skills":39,"budget":44,"duration":45,"location":46,"onsitePercent":47,"contractType":22,"foundAt":48,"category":49},4900,"product-manager-data-analytics","Product Manager Data & Analytics",[27,40,41,42,43],"Product Management","AI","Danish","English","Negotiable","6 Monate mit Verlängerungsmöglichkeit","Copenhagen",60,"2026-05-20T15:45:28+00:00",{"id":25,"slug":26,"label":27},{"id":51,"slug":52,"title":53,"skills":54,"budget":18,"duration":65,"location":66,"onsitePercent":18,"contractType":22,"foundAt":67,"category":68},4835,"data-solution-architect-delivery-lead-mfd","Data \u002F Solution Architect (Delivery Lead) (m\u002Ff\u002Fd)",[55,56,57,58,14,59,60,61,62,63,64],"Data Architecture","Solution Architecture","Treasury","MS SQL Server","Databricks","Microsoft Azure","Data Modeling","Kimball","Lakehouse","Stakeholder Management","Start: 06\u002F26","Vienna","2026-05-20T13:21:14+00:00",{"id":25,"slug":26,"label":27},{"id":70,"slug":71,"title":72,"skills":73,"budget":18,"duration":18,"location":66,"onsitePercent":18,"contractType":22,"foundAt":83,"category":84},4834,"data-governance-data-quality-engineer-mfd","Data Governance & Data Quality Engineer (m\u002Ff\u002Fd)",[74,75,76,77,78,79,80,81,82],"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":25,"slug":26,"label":27},{"id":86,"slug":87,"title":88,"skills":89,"budget":18,"duration":18,"location":18,"onsitePercent":21,"contractType":22,"foundAt":96,"category":97},4832,"data-engineer-nearshore-german-speaking-mfd","Data Engineer (Nearshore - German speaking) (m\u002Ff\u002Fd)",[80,90,12,91,92,93,94,95],"DBT","Data Warehousing","ETL","Snowflake","Apache Airflow","Data Pipeline Orchestration","2026-05-20T13:20:53+00:00",{"id":25,"slug":26,"label":27},{"id":99,"slug":100,"title":101,"skills":102,"budget":110,"duration":111,"location":20,"onsitePercent":21,"contractType":22,"foundAt":112,"category":113},4826,"100-remote-data-engineer-ms-azure-python-mwd","100% remote: Data Engineer – MS Azure \u002F Python (m\u002Fw\u002Fd)",[12,103,104,105,16,106,107,108,109],"Azure Synapse","Microsoft Fabric","FastAPI","API-Entwicklung","Power BI","Scrum","Kanban","Verhandelbar","2026 (140 Personentage)","2026-05-20T13:05:35+00:00",{"id":25,"slug":26,"label":27}]