[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-data-engineer-fmd":3,"similar-data-engineer-fmd":35},{"id":4,"slug":5,"title":6,"skills":7,"budget":22,"duration":22,"location":22,"onsitePercent":22,"contractType":23,"foundAt":24,"category":25,"description":29,"rawText":30,"webTitle":31,"webText":32,"language":33,"projectId":22,"sourceUrl":34},11702,"data-engineer-fmd","Data Engineer (f\u002Fm\u002Fd)",[8,9,10,11,12,13,14,15,16,17,18,19,20,21],"Datenmodellierung","Datenintegration","Azure","Databricks","PySpark","Delta Lake","Python","Data Warehouse","Azure Data Factory","Unity Catalog","Spark SQL","Datenvalidierung","BI","Englisch",null,"contracting","2026-06-09T07:25:09+00:00",{"id":26,"slug":27,"label":28},4,"data_analytics","Data & Analytics","Freiberufliche Projekttätigkeit als Data Engineer für Analytics-Projektteam. Entwicklung und Betrieb von skalierbaren Datenpipelines, Design von Datenmodellen und Implementierung von Delta Lake Architekturen mit Databricks und Azure Data Factory.","Für eine freiberufliche Projekttätigkeit suchen wir eine\u002Feinen\n\nData Engineer (f\u002Fm\u002Fd)\n\nWir suchen für das Analytics-Projektteam unseres Kunden einen Data Engineer W\u002FM\u002FD\n\nSpannende Aufgaben warten auf Dich\n\nHintergrund\n\nUm Geschäftsmodelle künftig stärker datengetrieben weiterzuentwickeln, sollen verschiedene Datenprodukte aufgebaut werden, zum Beispiel:\n\n- Datentabellen\n- Datenpipelines\n- Dashboards\n- Reports\nDies sowohl auf Team- als auch auf Value-Stream-Ebene.\n\n- Entwicklung und Betrieb von skalierbaren Datenpipelines (inkl. Databricks & PySpark)\n- Design von Datenmodellen \u002F Data Warehouse Strukturen für analytische Use Cases\n- Implementierung von Delta Lake Architekturen (inkl. Tabellen, Versionierung, Performance)\n- Aufbau und Sicherstellung von Datenqualität (Validation & Cleansing)\n- Nutzung und Verwaltung von Databricks-Komponenten (Unity Catalog, Volumes, Spark SQL)\n- Integration von Azure Data Factory mit Databricks bzw. Weiterentwicklung in Richtung Databricks-Orchestrierung\n- Enge Zusammenarbeit mit Analysten & Stakeholdern zur Anforderungsaufnahme und Bereitstellung von Datenprodukten\n\nDiese Qualifikationen zeichnen Dich aus\n\n- Datenmodellierung, Datenintegration und BI mit spezifischer Erfahrung in Azure\u002FODP, Databricks (optional: Tableau & Power BI), mit Fokus auf Implementierung und Visualisierung moderner Datenprodukte.\n- Konzeption, Entwicklung und Wartung von Datenpipelines, Datenbanken und Data Warehouses\n- Implementierung von Datenvalidierungs- und Bereinigungsprozessen zur Sicherstellung von Datenqualität und -zuverlässigkeit\n- Starke Python-Engineering-Skills\n- Fundierte Kenntnisse in PySpark und Delta\n- Erfahrung mit der Databricks-Plattform: Unity Catalog, Volumes, Spark SQL\n- Kenntnisse zu ADF–Databricks-Interaktionen (ggf. Interesse, ADF durch Databricks-Orchestrierung zu ersetzen)\n- Gutes Verständnis analytischer Anforderungen (z. B. beim Design von Tabellenschemata für Analysten)\n- verhandlungssichere Englischkenntnisse","Data Engineer (m\u002Fw\u002Fd) – Databricks & Analytics","Für ein Analytics-Projektteam suchen wir einen erfahrenen Data Engineer (m\u002Fw\u002Fd) auf freiberuflicher Basis. Du wirst an der Entwicklung und dem Betrieb von skalierbaren Datenprodukten mitwirken und das Unternehmen bei der datengetriebenen Geschäftsentwicklung unterstützen.\n\nDeine Aufgaben:\n- Entwicklung und Betrieb von skalierbaren Datenpipelines mit Databricks und PySpark\n- Design von Datenmodellen und Data-Warehouse-Strukturen für analytische Use Cases\n- Implementierung von Delta-Lake-Architekturen mit Fokus auf Performance und Versionierung\n- Aufbau und Sicherstellung von Datenqualität durch Validierung und Bereinigung\n- Verwaltung von Databricks-Komponenten wie Unity Catalog, Volumes und Spark SQL\n- Integration und Weiterentwicklung von Orchestrierungslösungen\n- Enge Zusammenarbeit mit Analysten und Stakeholdern bei der Anforderungsaufnahme\n\nDein Profil:\n- Fundierte Erfahrung in Datenmodellierung, Datenintegration und BI-Tools\n- Nachgewiesene Expertise mit Databricks-Plattform und PySpark\n- Starke Python-Engineering-Skills\n- Erfahrung in der Konzeption und Wartung von Datenpipelines und Data Warehouses\n- Gutes Verständnis für analytische Anforderungen und Datenschema-Design\n- Kenntnisse in modernen Cloud-Datenplattformen\n- Verhandlungssichere Englischkenntnisse\n\nWir bieten ein spannendes Projekt mit modernen Technologien und der Möglichkeit, innovative Datenprodukte zu gestalten.","de","https:\u002F\u002Fwww.etengo.de\u002Fit-projektsuche\u002F102029\u002F",{"items":36},[37,58,74,82,106,119,147,161,175,184,207,219,225,235,246],{"id":38,"slug":39,"title":40,"skills":41,"budget":22,"duration":52,"location":53,"onsitePercent":54,"contractType":55,"foundAt":56,"category":57},12000,"senior-data-analyst-ms-fabric-power-bi-python-mwd-95-remote","Senior Data Analyst (MS Fabric, Power BI, Python) (m\u002Fw\u002Fd) 95% remote",[42,43,14,44,45,46,47,48,49,50,51],"Microsoft Fabric","Power BI","SQL","Lakehouse","Dataflows Gen2","Pipelines","Notebooks","Projektmanagement","Data Science","AI\u002FML-Funktionalitäten","22.06.2026 – 31.12.2026","Frankfurt am Main",5,"permanent","2026-06-10T07:35:58+00:00",{"id":26,"slug":27,"label":28},{"id":59,"slug":60,"title":61,"skills":62,"budget":22,"duration":69,"location":70,"onsitePercent":71,"contractType":23,"foundAt":72,"category":73},11975,"analytics-workspace-frontend-experte-mwd-guv-remote-und-gr-muenchen-9-monate-asap","Analytics Workspace Frontend Experte (m\u002Fw\u002Fd) - GuV - remote und GR München – 9 Monate - ASAP",[63,64,65,66,67,68],"Planning Analytics Workspace","MDX","Multidimensionale Datenstrukturen","Excel","PAfE","Cubeviews","9 Monate, Start 15.01.2026","München",25,"2026-06-10T02:06:12+00:00",{"id":26,"slug":27,"label":28},{"id":75,"slug":76,"title":77,"skills":78,"budget":22,"duration":22,"location":22,"onsitePercent":22,"contractType":23,"foundAt":80,"category":81},11943,"power-bi-data-analytics-experte-wmd","Power BI \u002F Data & Analytics Experte (w\u002Fm\u002Fd)",[43,79],"Data Analytics","2026-06-09T15:35:10+00:00",{"id":26,"slug":27,"label":28},{"id":83,"slug":84,"title":85,"skills":86,"budget":22,"duration":101,"location":102,"onsitePercent":103,"contractType":23,"foundAt":104,"category":105},11925,"senior-data-engineer-pythondatabricks-mfd","Senior Data Engineer (Python\u002FDatabricks) (m\u002Ff\u002Fd)",[14,11,87,88,89,90,91,92,93,94,95,96,97,98,99,100],"Spark","Data Lake","Git","Version Control","CI\u002FCD","Apache Spark","Airflow","Kafka","Azure Data Engineering","C#",".NET","Blazor","Clean Architecture","Data Meshing","6 months","Berlin",0,"2026-06-09T15:10:28+00:00",{"id":26,"slug":27,"label":28},{"id":107,"slug":108,"title":109,"skills":110,"budget":22,"duration":116,"location":22,"onsitePercent":103,"contractType":23,"foundAt":117,"category":118},11881,"logistics-systems-expert-data-analytics-reporting","Logistics Systems Expert - Data Analytics & Reporting",[66,43,111,44,79,112,113,114,115,21],"Power Platform","Reporting","KPI-Frameworks","Dashboard-Entwicklung","Deutsch","asap bis 31.12.2026","2026-06-09T13:30:15+00:00",{"id":26,"slug":27,"label":28},{"id":120,"slug":121,"title":122,"skills":123,"budget":142,"duration":143,"location":144,"onsitePercent":103,"contractType":23,"foundAt":145,"category":146},11866,"informatica-pim-technical-specialist","Informatica PIM Technical Specialist",[124,125,126,127,128,129,130,131,132,133,44,134,135,136,137,138,139,140,141],"Informatica PIM","Data extraction","Data migration","Data transformation","Integration technologies","APIs","Data pipelines","Data modelling","Data quality","Data governance","ETL processes","System implementation","Data mapping","SIT testing","UAT testing","Retail experience","English","French","Negotiable","3 months rolling contract with scope for extension","France","2026-06-09T13:05:39+00:00",{"id":26,"slug":27,"label":28},{"id":148,"slug":149,"title":150,"skills":151,"budget":22,"duration":158,"location":144,"onsitePercent":103,"contractType":23,"foundAt":159,"category":160},11852,"consultant-technique-informatica","Consultant technique Informatica",[152,125,126,127,44,134,130,153,154,155,131,132,133,129,156,157,140,141],"Informatica PIM 360","XML","XSLT","Java","SAP","Akeneo","3 months","2026-06-09T13:00:52+00:00",{"id":26,"slug":27,"label":28},{"id":162,"slug":163,"title":164,"skills":165,"budget":22,"duration":22,"location":22,"onsitePercent":103,"contractType":23,"foundAt":173,"category":174},11835,"data-product-engineer-microsoft-fabric-onelake-security-mwd","Data Product Engineer – Microsoft Fabric & OneLake Security (m\u002Fw\u002Fd)",[42,166,14,44,167,168,169,170,171,172,115,21],"OneLake Security","Data Engineering","ETL\u002FELT","Lakehouse-Konzepte","Azure Synapse","Software Testing","Datenarchitektur","2026-06-09T12:06:38+00:00",{"id":26,"slug":27,"label":28},{"id":176,"slug":177,"title":178,"skills":179,"budget":22,"duration":181,"location":22,"onsitePercent":103,"contractType":23,"foundAt":182,"category":183},11816,"data-product-engineer-onelake-security","Data Product Engineer - OneLake Security",[42,14,166,44,167,171,180],"Software Projects","1,5 Monate, 20 Std\u002FWoche, Start 13.07.2026","2026-06-09T11:30:17+00:00",{"id":26,"slug":27,"label":28},{"id":185,"slug":186,"title":187,"skills":188,"budget":22,"duration":22,"location":203,"onsitePercent":204,"contractType":23,"foundAt":205,"category":206},11785,"senior-data-engineer-amsterdam","Senior Data Engineer – Amsterdam",[189,42,190,16,191,192,14,44,168,87,193,194,195,196,197,43,198,199,91,200,201,202],"Azure Data Services","Azure Synapse Analytics","Azure Databricks","Azure Stream Analytics","Hadoop","Data Warehousing","DevOps","Azure Purview","Azure OpenAI","Infrastructure as Code","Azure DevOps","Cloud Security","GDPR","HIPAA","Amsterdam",50,"2026-06-09T09:52:21+00:00",{"id":26,"slug":27,"label":28},{"id":208,"slug":209,"title":210,"skills":211,"budget":22,"duration":22,"location":203,"onsitePercent":204,"contractType":55,"foundAt":217,"category":218},11653,"lead-data-analytics-4","Lead Data & Analytics",[79,15,212,213,214,215,216,21],"Data Governance","BI-Technologien","Cloud-Technologien","Stakeholder Management","Niederländisch","2026-06-08T19:05:28+00:00",{"id":26,"slug":27,"label":28},{"id":220,"slug":221,"title":210,"skills":222,"budget":22,"duration":22,"location":203,"onsitePercent":204,"contractType":55,"foundAt":223,"category":224},11652,"lead-data-analytics-3",[79,15,212,213,214,215,8,216,21],"2026-06-08T18:55:27+00:00",{"id":26,"slug":27,"label":28},{"id":226,"slug":227,"title":228,"skills":229,"budget":142,"duration":22,"location":232,"onsitePercent":204,"contractType":55,"foundAt":233,"category":234},11625,"business-analyst-data-analytics","Business Analyst Data & Analytics",[43,230,44,215,231,11],"DAX","Business Analysis","Rotterdam","2026-06-08T15:50:31+00:00",{"id":26,"slug":27,"label":28},{"id":236,"slug":237,"title":210,"skills":238,"budget":142,"duration":22,"location":203,"onsitePercent":204,"contractType":55,"foundAt":244,"category":245},11547,"lead-data-analytics-2",[239,240,194,241,212,242,243,215,140],"Data Platform Management","Business Requirements Analysis","Analytics & Dashboards","BI Technologies","Cloud Technologies","2026-06-08T13:00:34+00:00",{"id":26,"slug":27,"label":28},{"id":247,"slug":248,"title":210,"skills":249,"budget":142,"duration":22,"location":203,"onsitePercent":204,"contractType":55,"foundAt":253,"category":254},11546,"lead-data-analytics",[239,240,194,250,251,243,212,252,215,140],"Analytics","BI Tools","Data Quality Management","2026-06-08T12:55:29+00:00",{"id":26,"slug":27,"label":28}]