[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-datenbankentwickler-nosql-date-engineer-mwd":3,"similar-datenbankentwickler-nosql-date-engineer-mwd":37},{"id":4,"slug":5,"title":6,"skills":7,"budget":21,"duration":21,"location":22,"onsitePercent":23,"contractType":24,"foundAt":25,"category":26,"description":30,"rawText":31,"webTitle":32,"webText":33,"language":34,"projectId":35,"sourceUrl":36},11455,"datenbankentwickler-nosql-date-engineer-mwd","Datenbankentwickler NoSQL \u002F Date Engineer (m\u002Fw\u002Fd)",[8,9,10,11,12,13,14,15,16,17,18,19,20],"NoSQL","SQL","Python","Microsoft SQL Server","Apache Kafka","Hadoop","Big Data","Data Lakes","Datenanalyse","CI\u002FCD","Testautomatisierung","Visual Studio","Datenmodellierung",null,"Kassel",50,"contracting","2026-06-08T08:25:58+00:00",{"id":27,"slug":28,"label":29},4,"data_analytics","Data & Analytics","Entwicklung skalierbarer, performanter Softwarelösungen und nachhaltiger Softwarearchitekturen in interdisziplinären Teams. Fokus auf datengetriebene Komponenten für Energiemanagement-Portal mit Microsoft SQL Server und Big Data. Aufbau von Prozessen zur Sicherung der Datenqualität und -anreicherung.","Datenbankentwickler NoSQL  \u002FDate Engineer (m\u002Fw\u002Fd)\nProjektnummer: FE86-07222-KS\nStandort: Kassel, Hessen\nArbeitsweise: Hybrid\nLaufzeit: Keine Angabe\nStartdatum: Keine Angabe\n\nDas ist zukünftig dein Job:\n- Entwicklung skalierbarer, performanter Softwarelösungen von der Idee bis zum Go-live in interdisziplinären Teams\n\n- Konzeption nachhaltiger Softwarearchitekturen inkl. Schnittstellen- und Moduldesign für komplexe Systeme\n\n- Entwicklung datengetriebener Komponenten für das Energiemanagement-Portal (Microsoft SQL Server, Big Data)\n\n- Auswahl und Integration moderner Technologien zur Sicherstellung von Wartbarkeit und Zukunftsfähigkeit\n\n- Aufbau von Prozessen zur Sicherung der Datenqualität und -anreicherung als Basis für statistische Modelle\n\nWomit du uns überzeugst:\n- Abgeschlossenes Studium der (Wirtschafts-)Informatik, Ingenieurswissenschaften oder Mathematik\n\n- Fundierte Erfahrung mit Data Lakes sowie Hadoop-Ökosystem bzw. Apache-Technologien (z. B. Kafka, Hive, NiFi, Druid)\n\n- Sehr gute Kenntnisse in SQL und Python sowie idealerweise Erfahrung mit Microsoft SQL Server und Visual Studio\n\n- Sicher im Umgang mit serviceorientierten Architekturen sowie CI\u002FCD und Testautomatisierung\n\n- Erfahrung in Datenanalyse, Datenmodellen und adressatengerechter Datenaufbereitung von Vorteil\n\nSkills: Apache, Big Data, CI\u002FCD, Datenanalyse, Energiemanagement, Entwicklung, Go, Hadoop, Informatik, Integration, Mathematik, Microsoft SQL, Microsoft SQL Server, NoSQL, Python, SQL, Server, Testautomatisierung, Visual, Visual Studio\n\nAnsprechpartner:\nElena Hayati\nTalent Acquisition Lead\nFERCHAU GmbH, Niederlassung Kassel\nMax-Planck-Str. 1-3\n34253 Lohfelden\n+49 561 310273-20\nkassel@ferchau.com","Datenbankentwickler NoSQL \u002F Data Engineer (m\u002Fw\u002Fd)","Wir suchen einen erfahrenen Datenbankentwickler und Data Engineer zur Verstärkung unseres Teams am Standort Kassel. In dieser Rolle entwickeln Sie skalierbare und performante Softwarelösungen von der Konzeption bis zur Implementierung in interdisziplinären Teams.\n\nIhre Aufgaben umfassen die Konzeption nachhaltiger Softwarearchitekturen mit modernem Schnittstellen- und Moduldesign für komplexe Systeme. Sie entwickeln datengetriebene Komponenten für ein Energiemanagement-Portal und wählen moderne Technologien aus, um Wartbarkeit und Zukunftsfähigkeit zu sichern. Ein weiterer Schwerpunkt liegt auf dem Aufbau von Prozessen zur Sicherung der Datenqualität und -anreicherung als Basis für statistische Modelle.\n\nFür diese Position bringen Sie ein abgeschlossenes Studium der Informatik, Wirtschaftsinformatik, Ingenieurswissenschaften oder Mathematik mit. Sie verfügen über fundierte Erfahrung mit Data Lakes sowie dem Hadoop-Ökosystem und Apache-Technologien wie Kafka, Hive, NiFi oder Druid. Sehr gute Kenntnisse in SQL und Python sind erforderlich, idealerweise mit Erfahrung in Microsoft SQL Server und Visual Studio.\n\nSicherheit im Umgang mit serviceorientierten Architekturen, CI\u002FCD-Prozessen und Testautomatisierung runden Ihr Profil ab. Erfahrung in Datenanalyse, Datenmodellen und adressatengerechter Datenaufbereitung ist von Vorteil.\n\nWir bieten eine hybride Arbeitsweise und die Möglichkeit, an zukunftsweisenden Projekten im Energiemanagement mitzuwirken. Wenn Sie diese Anforderungen erfüllen und Interesse an dieser Herausforderung haben, freuen wir uns auf Ihre Bewerbung.","de","FE86-07222-KS","https:\u002F\u002Ftouch.ferchau.com\u002Fde\u002Fde\u002Fprojekt\u002F507685",{"items":38},[39,66,82,102,119,137,150,166,180,191,205,218,227,239,247],{"id":40,"slug":41,"title":42,"skills":43,"budget":21,"duration":61,"location":62,"onsitePercent":63,"contractType":24,"foundAt":64,"category":65},11486,"data-governance-experte","Data Governance Experte",[44,45,46,47,48,49,50,51,52,53,20,54,55,56,10,57,9,58,59,60],"Data Governance","Data Catalog","Data Glossary","Data Lineage","Snowflake","Atlan","dbt","Azure Data Factory","Datenbankarchitektur","Datenintegration","QlikSense","Tableau","Power BI","R","Projektmanagement","DSGVO","Datensicherheit","6 Monate, Start 01.07.2026","Düsseldorf",100,"2026-06-08T09:30:17+00:00",{"id":27,"slug":28,"label":29},{"id":67,"slug":68,"title":69,"skills":70,"budget":21,"duration":61,"location":78,"onsitePercent":79,"contractType":24,"foundAt":80,"category":81},11406,"data-engineer-mit-awskubernetes-erfahrung-mwd-100-remote-start-01072026","Data Engineer mit AWS\u002FKubernetes-Erfahrung (m\u002Fw\u002Fd) - 100% Remote - Start: 01.07.2026",[71,72,73,74,75,10,76,77],"Data Engineer","AWS","Kubernetes","Docker","Kafka","AWS EKS","Data Architecture","Frankfurt am Main",0,"2026-06-08T05:25:27+00:00",{"id":27,"slug":28,"label":29},{"id":83,"slug":84,"title":85,"skills":86,"budget":21,"duration":21,"location":99,"onsitePercent":23,"contractType":24,"foundAt":100,"category":101},11396,"senior-data-engineer-powerapps-power-bi-mwd","Senior Data Engineer PowerApps \u002F Power BI (m\u002Fw\u002Fd)",[87,56,88,89,90,53,91,92,93,94,95,96,97,98],"PowerApps","T-SQL","ETL","Data Warehouse","SAP","Salesforce","CRM","ERP","Datenmodelle","BI-Systeme","Monitoring","Administration","Gummersbach","2026-06-08T02:27:30+00:00",{"id":27,"slug":28,"label":29},{"id":103,"slug":104,"title":105,"skills":106,"budget":21,"duration":116,"location":21,"onsitePercent":79,"contractType":24,"foundAt":117,"category":118},11375,"freelance-data-transformation-lead","Freelance Data Transformation Lead",[107,108,44,109,110,111,112,113,114,115],"Data Leadership","CDO\u002FHead of Data","Data Modelling","Databricks","Unity Catalog","GDPR Compliance","C-level Communication","AI\u002FML","Federated Models","6 Months, Start July 2026","2026-06-07T13:36:21+00:00",{"id":27,"slug":28,"label":29},{"id":120,"slug":121,"title":122,"skills":123,"budget":132,"duration":133,"location":134,"onsitePercent":23,"contractType":24,"foundAt":135,"category":136},11323,"senior-datenbank-spezialist-ms-sql-etl-contract","Senior Datenbank Spezialist MS SQL ETL (contract)",[124,89,20,125,126,127,128,129,130,131],"MS SQL","Data Engineering","PostgreSQL","S3 Object Storage","KI-Vektordatenbanken","Qdrant","Performance-Analyse","Datenbank-Backup-Management","CHF 115\u002Fh","12 Monate mit Option, Start Oktober 2026","Basel","2026-06-06T12:11:21+00:00",{"id":27,"slug":28,"label":29},{"id":138,"slug":139,"title":140,"skills":141,"budget":21,"duration":146,"location":147,"onsitePercent":79,"contractType":24,"foundAt":148,"category":149},11295,"entwicklung-von-bi-loesungen-mit-alteryx-und-tableau","Entwicklung von BI-Lösungen mit Alteryx und Tableau",[142,55,9,48,143,144,145],"Alteryx","Datenbanken","Dashboards","Datenverarbeitung","ab sofort","Leipzig","2026-06-05T15:25:31+00:00",{"id":27,"slug":28,"label":29},{"id":151,"slug":152,"title":153,"skills":154,"budget":21,"duration":21,"location":162,"onsitePercent":23,"contractType":163,"foundAt":164,"category":165},11292,"senior-data-engineer-media-org-hybrid-nyc-or-la","Senior Data Engineer - Media Org (Hybrid NYC or LA)",[125,155,9,110,156,157,158,159,72,15,160,161],"PySpark","Spark","Batch Pipelines","Streaming Pipelines","Airflow","Lakehouse Architecture","Medallion Architecture","NYC or LA","permanent","2026-06-05T15:16:13+00:00",{"id":27,"slug":28,"label":29},{"id":167,"slug":168,"title":169,"skills":170,"budget":21,"duration":176,"location":177,"onsitePercent":21,"contractType":24,"foundAt":178,"category":179},11276,"azure-data-engineer-mwd","Azure Data Engineer (m\u002Fw\u002Fd)",[171,125,172,173,174,9,175],"Azure","Datenpipelines","Data Transformation","Performance-Optimierung","Englisch","sofort","Baden-Württemberg","2026-06-05T13:50:56+00:00",{"id":27,"slug":28,"label":29},{"id":181,"slug":182,"title":183,"skills":184,"budget":21,"duration":176,"location":177,"onsitePercent":21,"contractType":24,"foundAt":189,"category":190},11262,"python-data-processor-mwd","Python Data Processor (m\u002Fw\u002Fd)",[10,145,185,186,187,188,174,175],"Daten-Transformationen","Geo-\u002FAdressdaten","Data Preparation","Analytics","2026-06-05T13:05:46+00:00",{"id":27,"slug":28,"label":29},{"id":192,"slug":193,"title":194,"skills":195,"budget":21,"duration":21,"location":202,"onsitePercent":21,"contractType":24,"foundAt":203,"category":204},11257,"power-bi-migration-specialist-mwd","Power BI Migration Specialist (m\u002Fw\u002Fd)",[56,196,20,174,9,197,88,198,199,200,201,175],"DAX","PL-SQL","Azure Synapse","Azure Databricks","Data-Warehouse-Modellierung","Deutsch","Hannover","2026-06-05T12:35:59+00:00",{"id":27,"slug":28,"label":29},{"id":206,"slug":207,"title":208,"skills":209,"budget":21,"duration":21,"location":215,"onsitePercent":63,"contractType":24,"foundAt":216,"category":217},11230,"data-engineer-mwd-4","Data Engineer (m\u002Fw\u002Fd)",[210,171,72,51,110,56,50,9,211,212,213,214],"ETL\u002FELT","API","Data Contracts","Medallion-Architektur","Business Intelligence","Bielefeld","2026-06-05T12:25:40+00:00",{"id":27,"slug":28,"label":29},{"id":219,"slug":220,"title":221,"skills":222,"budget":223,"duration":224,"location":21,"onsitePercent":21,"contractType":24,"foundAt":225,"category":226},11218,"azure-data-engineer-2","Azure Data Engineer",[171,125,172,173,174,9,175],"VB","4 Monate, Start Juli 2026","2026-06-05T11:30:37+00:00",{"id":27,"slug":28,"label":29},{"id":228,"slug":229,"title":230,"skills":231,"budget":21,"duration":224,"location":21,"onsitePercent":21,"contractType":24,"foundAt":237,"category":238},11217,"power-bi-embedded-bi-engineer-data-analyst","Power BI \u002F Embedded BI Engineer \u002F Data Analyst",[56,232,233,20,234,235,236,174,175],"Embedded BI","Data Analyst","Row-Level Security (RLS)","Dashboard-Entwicklung","Report-Entwicklung","2026-06-05T11:30:29+00:00",{"id":27,"slug":28,"label":29},{"id":240,"slug":241,"title":242,"skills":243,"budget":21,"duration":224,"location":21,"onsitePercent":21,"contractType":24,"foundAt":245,"category":246},11215,"python-data-processor","Python Data Processor",[10,145,244,89,174,175],"Datentransformation","2026-06-05T11:30:14+00:00",{"id":27,"slug":28,"label":29},{"id":248,"slug":249,"title":250,"skills":251,"budget":132,"duration":133,"location":134,"onsitePercent":23,"contractType":24,"foundAt":260,"category":261},11214,"senior-data-science-engineer-databricks-azure-contract","Senior Data Science Engineer Databricks \u002F Azure (contract)",[10,252,155,9,253,199,111,50,254,75,255,126,256,257,129,258,198,259,74,73,17],"Pandas","MLOps","Apache Spark","MS SQL Server","Oracle","MongoDB","Azure DevOps","Terraform","2026-06-05T11:28:20+00:00",{"id":27,"slug":28,"label":29}]