[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-data-engineer-mwd-mit-microsoft-fabric-azure-erfahrung":3,"similar-data-engineer-mwd-mit-microsoft-fabric-azure-erfahrung":38},{"id":4,"slug":5,"title":6,"skills":7,"budget":22,"duration":23,"location":24,"onsitePercent":25,"contractType":26,"foundAt":27,"category":28,"description":32,"rawText":33,"webTitle":34,"webText":35,"language":36,"projectId":22,"sourceUrl":37},5850,"data-engineer-mwd-mit-microsoft-fabric-azure-erfahrung","Data Engineer (m\u002Fw\u002Fd) mit Microsoft Fabric & Azure Erfahrung",[8,9,10,11,12,13,14,15,16,17,18,19,20,21],"Microsoft Fabric","Azure Data Factory","Azure Databricks","PySpark","SQL","Python","CI\u002FCD","Git","DevOps","Data Governance","Azure Storage","Data Lake","Azure SQL","Azure Synapse Analytics",null,"6 Monate","Frankfurt",40,"contracting","2026-05-25T02:07:22+00:00",{"id":29,"slug":30,"label":31},4,"data_analytics","Data & Analytics","Aufbau und Weiterentwicklung einer modernen End-to-End-Datenarchitektur auf Basis von Microsoft Fabric und Microsoft Azure. Design und Implementierung von Data Pipelines, Datenmodellen und ETL-Prozessen. Zusammenarbeit mit Data Architects und Fachbereichen zur technischen Umsetzung.","Data Engineer (m\u002Fw\u002Fd) mit Microsoft Fabric & Azure Erfahrung\n\nTenth Revolution Group\n\nAnsprechpartner: Max Merwarth\nfrankfurt, Deutschland\n60% RemoteFreiberuflichab sofortDauer 6 Monate60% Auslastung\n\n- Projekt drucken\n- Projekt melden\nProjekt teilen\n\nTeilen Sie das Projekt per E-Mail\n\nProjekt melden\n\nNachdem Sie das Projekt gemeldet haben, erhalten Sie eine Bestätigung per E-Mail. Wir prüfen Ihre Angaben und ergreifen bei Bedarf die erforderlichen Maßnahmen.\n\nITData AnalysisMicrosoft AzureContinuous IntegrationData ArchitectureData GovernanceETLDatenmodellData VaultDevOpsSkalierbarkeitPythonMachine LearningAzure SQLLeistungssteigerungRole Based Access ControlMicrosoft Power BISQLSoftwareverteilungAzure Data FactoryGitMicrosoft Fabric (Analytics-Plattform)Data LakePySparkLaptopsAzure Synapse Analytics\nBeschreibung\n\nFür ein laufendes Datenplattform- und Analytics-Programm suchen wir einen erfahrenen Data Engineer, der den Aufbau und die Weiterentwicklung einer modernen End-to-End-Datenarchitektur auf Basis von Microsoft Fabric und Microsoft Azure unterstützt. Ziel ist die Etablierung einer skalierbaren, sicheren und performanten Datenplattform zur Bereitstellung von Self-Service-Analytics, Reporting und Machine-Learning-Use Cases.\n? Aufgaben \u002F Verantwortlichkeiten\nDesign, Implementierung und Optimierung von Data Pipelines in Microsoft Fabric (Data Factory, Dataflows, Pipelines, Notebooks).\nAufbau und Pflege von Datenmodellen und Lakehouse-Strukturen (Delta Lake, OneLake).\nEntwicklung und Orchestrierung von Azure-basierten ETL-\u002FELT-Prozessen (Azure Data Factory, Azure Databricks, Azure Synapse optional).\nZusammenarbeit mit Data Architects, Data Analysts und Fachbereichen zur Anforderungsaufnahme und technischen Umsetzung.\nSicherstellung von Data Governance, Qualität und Security (Purview, RBAC, CI\u002FCD).\nPerformance-Optimierung und Monitoring laufender Pipelines.\nUnterstützung beim Plattform-Rollout und Wissenstransfer.\nAnforderungen \u002F Skills\nMust-have:\nMehrjährige Erfahrung als Data Engineer.\nFundierte Kenntnisse in Microsoft Fabric (insb. Data Factory, Lakehouse, Notebooks, OneLake).\nSehr gute Erfahrung mit Azure Data Services, z. B.\nAzure Data Factory\nAzure Databricks bzw. Fabric Notebooks (PySpark)\nAzure Storage \u002F Data Lake\nAzure SQL \u002F Synapse\nSehr gute SQL- und Python-Kenntnisse.\nErfahrung in CI\u002FCD (Git, DevOps) und automatisierten Deployments.\nVerständnis von Data Governance, Security und Best Practices.\nNice-to-have:\nKenntnisse in Power BI (Direct Lake, Semantic Models).\nErfahrung mit Data Vault 2.0.\nErfahrung im Umgang mit großen Unternehmensdatenlandschaften.\nRahmenbedingungen\nStart: asap \u002F nach Absprache\nAuslastung: 50 - 60%\nLaufzeit: 6 Monate\nRemote-Anteil: hybrid ( Fankfurt oder München)\nBitte einen aktuellen Lebenslauf in Word Datei an l.wieczorek@tenthrevolution.com .\nBewerben","Data Engineer mit Microsoft Fabric & Azure Erfahrung","Für ein laufendes Datenplattform- und Analytics-Programm wird ein erfahrener Data Engineer gesucht, der den Aufbau und die Weiterentwicklung einer modernen End-to-End-Datenarchitektur auf Basis von Microsoft Fabric und Microsoft Azure unterstützt. Ziel ist die Etablierung einer skalierbaren, sicheren und performanten Datenplattform zur Bereitstellung von Self-Service-Analytics, Reporting und Machine-Learning-Use Cases.\n\nZu den Hauptaufgaben gehören das Design, die Implementierung und Optimierung von Data Pipelines in Microsoft Fabric sowie der Aufbau und die Pflege von Datenmodellen und Lakehouse-Strukturen. Die Entwicklung und Orchestrierung von Azure-basierten ETL-\u002FELT-Prozessen steht ebenso im Fokus wie die Zusammenarbeit mit Data Architects, Data Analysts und Fachbereichen zur Anforderungsaufnahme und technischen Umsetzung. Weitere Verantwortlichkeiten umfassen die Sicherstellung von Data Governance, Qualität und Security sowie Performance-Optimierung und Monitoring laufender Pipelines.\n\nVorausgesetzt werden mehrjährige Erfahrung als Data Engineer und fundierte Kenntnisse in Microsoft Fabric, insbesondere Data Factory, Lakehouse, Notebooks und OneLake. Sehr gute Erfahrung mit Azure Data Services wie Azure Data Factory, Azure Databricks, Azure Storage\u002FData Lake und Azure SQL\u002FSynapse sind erforderlich. Exzellente SQL- und Python-Kenntnisse sowie Erfahrung in CI\u002FCD und automatisierten Deployments werden erwartet. Ein Verständnis von Data Governance, Security und Best Practices rundet das Profil ab.\n\nVorteilhaft sind Kenntnisse in Power BI, Erfahrung mit Data Vault 2.0 und der Umgang mit großen Unternehmensdatenlandschaften. Die Position bietet eine 50-60%ige Auslastung über 6 Monate mit hybrider Arbeitsweise.","de","https:\u002F\u002Fwww.freelancermap.de\u002Fprojekt\u002Fdata-engineer-m-w-d-mit-microsoft-fabric-und-azure-erfahrung",{"items":39},[40,58,75,83,106,122,140,153,161,176,195,201,216,231,243],{"id":41,"slug":42,"title":43,"skills":44,"budget":53,"duration":54,"location":22,"onsitePercent":55,"contractType":26,"foundAt":56,"category":57},5851,"power-bi-platform-specialist","Power BI Platform Specialist",[45,46,47,48,49,50,51,52],"Microsoft Power BI","Incident-Management","Datenmodell","Performance-Tuning","Benutzerunterstützung","Ursachenanalyse","Kapazitätsmanagement","Prozessoptimierung","40 EUR\u002Fh","12+ Monate",0,"2026-05-25T02:07:36+00:00",{"id":29,"slug":30,"label":31},{"id":59,"slug":60,"title":61,"skills":62,"budget":22,"duration":71,"location":24,"onsitePercent":72,"contractType":26,"foundAt":73,"category":74},5844,"datenmigration-specialist-gis","Datenmigration Specialist (GIS)",[13,12,63,64,65,66,67,68,69,70],"ArcGIS","Datenbankstrukturen","Datenqualität","Data Migration","Geoinformationssystem","Automatisierung","Digitalisierung","Qualitätsmanagement","12 Monate",20,"2026-05-25T02:06:04+00:00",{"id":29,"slug":30,"label":31},{"id":76,"slug":77,"title":78,"skills":79,"budget":22,"duration":71,"location":24,"onsitePercent":72,"contractType":26,"foundAt":81,"category":82},5841,"datenmigration-specialist-gis-12-monate-vollzeit-start-jan-2026","Datenmigration Specialist (GIS) - 12+ Monate - Vollzeit - Start Jan 2026",[13,12,63,80,64,65,66,68,70,69],"GIS","2026-05-25T02:05:21+00:00",{"id":29,"slug":30,"label":31},{"id":84,"slug":85,"title":86,"skills":87,"budget":102,"duration":22,"location":22,"onsitePercent":55,"contractType":103,"foundAt":104,"category":105},5769,"data-science-consultant","Data Science Consultant",[13,88,12,89,90,91,92,93,94,95,96,97,98,99,100,101],"R","Machine Learning","Statistical Modeling","Data Preprocessing","Hadoop","Spark","AWS","Azure","Google Cloud","Tableau","Power BI","Data Visualization","A\u002FB Testing","Data Mining","100000\u002FJahr","permanent","2026-05-22T18:10:16+00:00",{"id":29,"slug":30,"label":31},{"id":107,"slug":108,"title":109,"skills":110,"budget":22,"duration":118,"location":22,"onsitePercent":55,"contractType":119,"foundAt":120,"category":121},5699,"bi-consultant-mwd","BI-Consultant (m\u002Fw\u002Fd)",[111,112,113,114,115,116,12,117],"Oracle BIEE","Oracle Business Intelligence\u002FAnalytics Server","Oracle-Datenbanken","ETL","ODI","BI-Modellierung","APEX","18 Monate","temp_work","2026-05-22T17:36:59+00:00",{"id":29,"slug":30,"label":31},{"id":123,"slug":124,"title":125,"skills":126,"budget":22,"duration":135,"location":136,"onsitePercent":137,"contractType":26,"foundAt":138,"category":139},5695,"professional-business-analyst-mwd","Professional Business Analyst (m\u002Fw\u002Fd)",[127,128,129,130,131,132,133,134],"Business Analyst","Requirements Engineering","Datenanalyse","KPI-Definition","Dashboarding","Reporting","Agile Methoden","IT-Risikomanagement","01.06.2026 - 30.09.2026","Zürich",50,"2026-05-22T17:26:01+00:00",{"id":29,"slug":30,"label":31},{"id":141,"slug":142,"title":143,"skills":144,"budget":22,"duration":22,"location":22,"onsitePercent":22,"contractType":103,"foundAt":151,"category":152},5691,"senior-consultant-data-engineer-mwd","Senior Consultant Data Engineer (m\u002Fw\u002Fd)",[13,12,145,88,146,147,89,148,149,150],"Scala","Data Engineering","Big Data","ETL-Prozesse","ML-Pipelines","Scrum","2026-05-22T17:17:52+00:00",{"id":29,"slug":30,"label":31},{"id":154,"slug":155,"title":156,"skills":157,"budget":22,"duration":22,"location":22,"onsitePercent":22,"contractType":103,"foundAt":159,"category":160},5646,"consultant-data-engineer-mwd","Consultant Data Engineer (m\u002Fw\u002Fd)",[13,12,145,88,89,114,150,146,158],"Analytics","2026-05-22T17:13:07+00:00",{"id":29,"slug":30,"label":31},{"id":162,"slug":163,"title":164,"skills":165,"budget":22,"duration":172,"location":173,"onsitePercent":55,"contractType":26,"foundAt":174,"category":175},5522,"postgresql-datenbankadministrationsberater-fokus-analyse-optimierung-mwd","PostgreSQL Datenbankadministrationsberater - Fokus Analyse & Optimierung (m\u002Fw\u002Fd)",[166,167,168,169,170,171,48],"PostgreSQL","Stored Procedures","DBA\u002FDBE","Datenbankanalyse","Performance-Optimierung","Index-Management","08\u002F26","Nordrhein-Westfalen","2026-05-22T15:01:40+00:00",{"id":29,"slug":30,"label":31},{"id":177,"slug":178,"title":179,"skills":180,"budget":22,"duration":190,"location":191,"onsitePercent":192,"contractType":26,"foundAt":193,"category":194},5452,"data-engineer-kubernetes-aws-python-mwd-90-remote-2","Data Engineer (Kubernetes, AWS, Python) (m\u002Fw\u002Fd) 90% remote",[181,94,13,12,182,183,184,185,186,187,188,189],"Kubernetes","REST-API","Docker","Grafana","Prometheus","Kafka","Kinesis","OpenTelemetry","Polars","01.07.2026 – 31.12.2026 + Option","Berlin",10,"2026-05-22T12:51:25+00:00",{"id":29,"slug":30,"label":31},{"id":196,"slug":197,"title":179,"skills":198,"budget":22,"duration":190,"location":191,"onsitePercent":192,"contractType":26,"foundAt":199,"category":200},5451,"data-engineer-kubernetes-aws-python-mwd-90-remote",[181,94,13,182,12,183,184,186,187,189,185,188],"2026-05-22T12:51:11+00:00",{"id":29,"slug":30,"label":31},{"id":202,"slug":203,"title":204,"skills":205,"budget":22,"duration":22,"location":212,"onsitePercent":213,"contractType":26,"foundAt":214,"category":215},5403,"oracle-datenbankentwicklung-sql-plsql","Oracle-Datenbankentwicklung SQL \u002F PL\u002FSQL",[12,206,207,208,209,170,210,211],"PL\u002FSQL","Oracle","Datenbanken","Datenbankentwicklung","Legacy-Systeme","Public Sector","Wiesbaden",100,"2026-05-22T10:27:43+00:00",{"id":29,"slug":30,"label":31},{"id":217,"slug":218,"title":219,"skills":220,"budget":226,"duration":227,"location":228,"onsitePercent":137,"contractType":26,"foundAt":229,"category":230},5383,"bi-specialist","BI Specialist",[12,221,222,223,224,225],"Data Management","Data Warehousing","Business Intelligence","Data Modeling","Metadata Management","Negotiable","1+ year contract + likely extensions","Stockholm","2026-05-22T09:25:39+00:00",{"id":29,"slug":30,"label":31},{"id":232,"slug":233,"title":234,"skills":235,"budget":22,"duration":240,"location":22,"onsitePercent":55,"contractType":26,"foundAt":241,"category":242},5363,"ibm-cognos-planning-analytics-tm1-entwickler-mwd","IBM Cognos Planning Analytics (TM1) Entwickler (m\u002Fw\u002Fd)",[236,237,238,239],"IBM Cognos Planning Analytics","TM1","Konfiguration","Programmierung","bis 31.07.26 + Option","2026-05-22T07:40:27+00:00",{"id":29,"slug":30,"label":31},{"id":244,"slug":245,"title":246,"skills":247,"budget":253,"duration":22,"location":191,"onsitePercent":55,"contractType":103,"foundAt":254,"category":255},5275,"data-engineer-wdm","Data Engineer (w\u002Fd\u002Fm)",[12,13,248,166,249,250,222,114,251,252,146],"Java","dbt","Airflow","GCP","Datenmodellierung","80.000 - 100.000 EUR p.a.","2026-05-21T16:37:12+00:00",{"id":29,"slug":30,"label":31}]