[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-data-modeling-de":3,"job-search-\u002Fde-de\u002Fjobs-by-expertise\u002Fdata-modeling":33,"expertise-filters-\u002Fde-de\u002Fjobs-by-expertise\u002Fdata-modeling":410,"featured-jobs-\u002Fde-de\u002Fjobs-by-expertise\u002Fdata-modeling":552},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fexpertise\u002Fdata-modeling.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","Data Modeling ist eine entscheidende Fähigkeit in [Deutschland](\u002Fsearch), da es die Grundlage für effiziente Datenverwaltung und -analyse in der Finanzbranche bildet. In einem Land mit einer starken [Banking](\u002Fjobs-by-industry\u002Fbanking)- und [Versicherungsbranche](\u002Fjobs-by-industry\u002Finsurance) ermöglicht Data Modeling die Strukturierung von Daten für bessere Entscheidungsfindung, Risikomanagement und Compliance. Es unterstützt die [digitale Transformation](\u002Fjobs-by-expertise\u002Fdigital-transformation) und hilft Unternehmen, wettbewerbsfähig zu bleiben, indem es Datenintegration und -optimierung fördert. In [Deutschland](\u002Fsearch) ist Data Modeling besonders relevant für die Einhaltung von Vorschriften wie GDPR und für die Steigerung der operativen Effizienz in [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Ffinancial-services).",{"title":10,"content":11},"Top-Branchen & Standorte","In [Deutschland](\u002Fsearch) ist Data Modeling stark nachgefragt in Branchen wie [Banking](\u002Fjobs-by-industry\u002Fbanking), [Mobilität](\u002Fjobs-by-industry\u002Fmobility) und [Versicherung](\u002Fjobs-by-industry\u002Finsurance). Top-Standorte für diese Fähigkeit sind [München](\u002Fjobs-in-muenchen), [Hamburg](\u002Fjobs-in-hamburg) und [Rostock](\u002Fjobs-in-rostock), wo viele Finanzinstitute und Tech-Unternehmen ansässig sind. Diese Städte bieten zahlreiche Möglichkeiten für Data Modeling-Experten, insbesondere in Bereichen wie [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und [Fintech](\u002Fjobs-by-industry\u002Ffintech). Die Nachfrage wird durch die wachsende Bedeutung von Datengetriebenen Entscheidungen in [Deutschland](\u002Fsearch) weiter steigen.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Top-Unternehmen, die Data Modeling in [Deutschland](\u002Fsearch) benötigen, sind [Donner & Reuschel AG](\u002Fcompany\u002Fdonner-und-reuschel-ag), [JobRad Loop](\u002Fcompany\u002Fjobrad-loop), und [Europ Assistance SA, Niederlassung für Deutschland](\u002Fcompany\u002Feurop-assistance-sa-niederlassung-fuer-deutschland). Gefragte verwandte Expertise umfasst [Performance Analysis](\u002Fjobs-by-expertise\u002Fperformance-analysis), [Process Optimization](\u002Fjobs-by-expertise\u002Fprocess-optimization), und [BI Solution Architecture](\u002Fjobs-by-expertise\u002Fbi-solution-architecture). Diese Unternehmen suchen nach Fachleuten, die Data Modeling mit [Data Integration](\u002Fjobs-by-expertise\u002Fdata-integration) und [Data Warehousing](\u002Fjobs-by-expertise\u002Fdata-warehousing) kombinieren können, um Geschäftsprozesse zu verbessern.",{"title":16,"content":17},"Karriere & Entwicklung","Karrierewege in Data Modeling in [Deutschland](\u002Fsearch) reichen vom Data Analysten zum Data Architect. Um die Fähigkeit zu erlernen, sind Kenntnisse in [Python](\u002Fjobs-by-skill\u002Fpython), [SQL](\u002Fjobs-by-skill\u002Fsql), und [ETL\u002FELT Pipelines](\u002Fjobs-by-expertise\u002Fetl-elt-pipelines) essenziell. Verwandte IT-Skills wie [Microsoft Fabric](\u002Fjobs-by-skill\u002Fmicrosoft-fabric), [AWS](\u002Fjobs-by-skill\u002Faws), und [Power BI](\u002Fjobs-by-skill\u002Fmicrosoft-power-bi) sind hochgefragt. Fortbildungen in [Project Management](\u002Fjobs-by-expertise\u002Fproject-management) und [Digital Transformation](\u002Fjobs-by-expertise\u002Fdigital-transformation) können die Karriere vorantreiben. Online-Kurse und Zertifizierungen von Anbietern wie Microsoft oder AWS sind empfehlenswert für den Einstieg.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","Data modeling is a critical skill in [Deutschland](\u002Fsearch), playing a pivotal role in structuring and organizing data to support informed decision-making across industries. In the financial sector, it enables accurate [performance analysis](\u002Fjobs-by-expertise\u002Fperformance-analysis) and [process optimization](\u002Fjobs-by-expertise\u002Fprocess-optimization), essential for compliance and efficiency. With the rise of digital transformation, data modeling helps integrate disparate data sources through [ETL\u002FELT pipelines](\u002Fjobs-by-expertise\u002Fetl-elt-pipelines) and [data integration](\u002Fjobs-by-expertise\u002Fdata-integration), ensuring data quality and accessibility. This skill is fundamental for building robust [data warehouses](\u002Fjobs-by-expertise\u002Fdata-warehousing) and [data lakes](\u002Fjobs-by-expertise\u002Fdata-lake), which are crucial for [banking](\u002Fjobs-by-industry\u002Fbanking) and [insurance](\u002Fjobs-by-industry\u002Finsurance) companies to manage risk, enhance customer insights, and drive innovation. In [Deutschland](\u002Fsearch), where data privacy regulations like GDPR are stringent, effective data modeling ensures compliance and security, making it indispensable for sustainable business growth.",{"title":23,"content":24},"Top Industries & Locations","In [Deutschland](\u002Fsearch), data modeling is highly sought after in key industries such as [banking](\u002Fjobs-by-industry\u002Fbanking), [mobility](\u002Fjobs-by-industry\u002Fbicycle-manufacturing-and-services) (including automotive and transportation sectors), and [insurance](\u002Fjobs-by-industry\u002Finsurance). Top locations with high demand include [München](\u002Fjobs-in-muenchen), a hub for tech and finance; [Hamburg](\u002Fjobs-in-hamburg), known for its port logistics and digital services; and [Rostock](\u002Fjobs-in-rostock), which is growing in IT and maritime industries. These cities host numerous companies leveraging data modeling for [digital transformation](\u002Fjobs-by-expertise\u002Fdigital-transformation) and [BI solution architecture](\u002Fjobs-by-expertise\u002Fbi-solution-architecture), driving innovation in areas like [streaming solutions](\u002Fjobs-by-expertise\u002Fstreaming-solutions) and [performance tuning](\u002Fjobs-by-expertise\u002Fperformance-tuning). The concentration of [financial services](\u002Fjobs-by-industry\u002Ffinancial-services) firms in urban centers underscores the importance of this skill for competitive advantage.",{"title":26,"content":27},"In-Demand Skills & Employers","Top companies in [Deutschland](\u002Fsearch) that require data modeling expertise include [Donner & Reuschel AG](\u002Fcompany\u002Fdonner-und-reuschel-ag), a prominent [banking](\u002Fjobs-by-industry\u002Fbanking) institution; [JobRad Loop](\u002Fcompany\u002Fjobrad-loop), focusing on [mobility](\u002Fjobs-by-industry\u002Fbicycle-manufacturing-and-services) solutions; and [Europ Assistance SA, Niederlassung für Deutschland](\u002Fcompany\u002Feurop-assistance-sa-niederlassung-fuer-deutschland), a leader in [insurance](\u002Fjobs-by-industry\u002Finsurance) and assistance services. These employers seek professionals with expertise in [performance analysis](\u002Fjobs-by-expertise\u002Fperformance-analysis), [process optimization](\u002Fjobs-by-expertise\u002Fprocess-optimization), [ETL\u002FELT pipelines](\u002Fjobs-by-expertise\u002Fetl-elt-pipelines), [data integration](\u002Fjobs-by-expertise\u002Fdata-integration), [performance tuning](\u002Fjobs-by-expertise\u002Fperformance-tuning), [data warehouse](\u002Fjobs-by-expertise\u002Fdata-warehousing), [data lake](\u002Fjobs-by-expertise\u002Fdata-lake), [streaming solutions](\u002Fjobs-by-expertise\u002Fstreaming-solutions), [BI solution architecture](\u002Fjobs-by-expertise\u002Fbi-solution-architecture), [data warehousing](\u002Fjobs-by-expertise\u002Fdata-warehousing), [project management](\u002Fjobs-by-expertise\u002Fproject-management), and [digital transformation](\u002Fjobs-by-expertise\u002Fdigital-transformation). Mastery of these areas ensures efficient data handling and supports strategic initiatives in [Deutschland](\u002Fsearch)'s competitive market.",{"title":29,"content":30},"Career & Development","A career in data modeling in [Deutschland](\u002Fsearch) offers diverse paths, from data architect to BI developer, with opportunities in [banking](\u002Fjobs-by-industry\u002Fbanking), [mobility](\u002Fjobs-by-industry\u002Fbicycle-manufacturing-and-services), and [insurance](\u002Fjobs-by-industry\u002Finsurance). To excel, focus on learning key IT skills like [Python](\u002Fjobs-by-skill\u002Fpython), [SQL](\u002Fjobs-by-skill\u002Fsql), [Microsoft Fabric](\u002Fjobs-by-skill\u002Fmicrosoft-fabric), [ETL](\u002Fjobs-by-skill\u002Fetl), [ELT](\u002Fjobs-by-skill\u002Felt), [MS Azure Data Factory](\u002Fjobs-by-skill\u002Fms-azure-data-factory), [lakehouse development](\u002Fjobs-by-skill\u002Flakehouse-development), [PostgreSQL](\u002Fjobs-by-skill\u002Fpostgresql), [Snowflake](\u002Fjobs-by-skill\u002Fsnowflake), [BigQuery](\u002Fjobs-by-skill\u002Fbigquery), [dbt](\u002Fjobs-by-skill\u002Fdbt), [Airflow](\u002Fjobs-by-skill\u002Fairflow), [Talend](\u002Fjobs-by-skill\u002Ftalend), [AWS](\u002Fjobs-by-skill\u002Faws), [Terraform](\u002Fjobs-by-skill\u002Fterraform), [CI\u002FCD](\u002Fjobs-by-skill\u002Fcicd), [Microsoft Power BI](\u002Fjobs-by-skill\u002Fmicrosoft-power-bi), [Power BI Desktop & Service](\u002Fjobs-by-skill\u002Fpower-bi-desktop-service), [Power BI Premium](\u002Fjobs-by-skill\u002Fpower-bi-premium), [Power Automate](\u002Fjobs-by-skill\u002Fpower-automate), [DAX](\u002Fjobs-by-skill\u002Fdax), [M-query](\u002Fjobs-by-skill\u002Fm-query), [Azure techstack (Databricks, PySpark)](\u002Fjobs-by-skill\u002Fazure-techstack-databricks-pyspark), and [Oracle PL\u002FSQL](\u002Fjobs-by-skill\u002Foracle-pl-sql). Complement this with expertise in [performance analysis](\u002Fjobs-by-expertise\u002Fperformance-analysis) and [digital transformation](\u002Fjobs-by-expertise\u002Fdigital-transformation) for advancement. Pursue certifications and hands-on projects to build a robust portfolio in [Deutschland](\u002Fsearch)'s dynamic job market.","expertise:data-modeling:de","2026-08-17T09:07:57.159421+02:00",{"total":34,"jobs":35},12,[36,87,120,142,172,199,250,273,300,326,351,371],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":45,"processed_city_gmaps":46,"processed_country_iso_code_gmaps":49,"processed_home_office":51,"processed_salary_min":52,"processed_salary_max":53,"processed_salary_currency":54,"processed_salary_source":55,"processed_working_hours":56,"processed_employment_types":58,"processed_it_skills":59,"processed_it_skills_labels":62,"processed_job_expertise_skills":70,"processed_job_expertise_skills_labels":71,"max_cpc":86,"actual_cpc":86},65017,"staff-engineer-mfd-solactive-ag-2","Staff Engineer (m\u002Ff\u002Fd)",null,false,{"name":43,"slug":44,"logo_url":40},"Solactive AG","solactive-ag","https:\u002F\u002Fassets.cdn.personio.de\u002Flogos\u002F2585\u002Fsocial\u002F1512344f754608e10e32c9c4a884a86d.jpg",[47,48],"Frankfurt am Main","Berlin",[50],"DE","hybrid",90000,130000,"EUR","estimated",[57],"FULL_TIME","permanent",{"java":60,"ci\u002Fcd":60,"react":61,"python":60,"kubernetes":60,"typescript":60,"observability":60},4,3,[63,64,65,66,67,68,69],"Java","Python","TypeScript","Kubernetes","React","CI\u002FCD","Observability",{"api design":60,"code review":60,"reliability":60,"scalability":60,"data modeling":60,"design review":60,"system design":60,"testing strategy":60,"incident response":60,"integration patterns":60,"production ownership":60,"operational readiness":60,"service decomposition":60,"cloud-native architecture":60},[72,73,74,75,76,77,78,79,80,81,82,83,84,85],"System Design","API Design","Data Modeling","Cloud-Native Architecture","Service Decomposition","Integration Patterns","Scalability","Reliability","Operational Readiness","Incident Response","Production Ownership","Testing Strategy","Code Review","Design Review",1,{"id":88,"slug":89,"title":90,"raw_title":40,"is_featured":41,"company":91,"raw_hiringOrganization_logo_url":94,"processed_city_gmaps":95,"processed_country_iso_code_gmaps":97,"processed_home_office":51,"processed_salary_min":98,"processed_salary_max":99,"processed_salary_currency":54,"processed_salary_source":55,"processed_working_hours":100,"processed_employment_types":58,"processed_it_skills":101,"processed_it_skills_labels":102,"processed_job_expertise_skills":113,"processed_job_expertise_skills_labels":114,"max_cpc":86,"actual_cpc":86},58257,"microsoft-power-plattform-entwickler-mwd-devk-zentrale-koeln","Microsoft Power Plattform Entwickler (m\u002Fw\u002Fd)",{"name":92,"slug":93,"logo_url":40},"DEVK Zentrale Köln","devk-zentrale-koeln","https:\u002F\u002Fbewerbungsportal.devk.de\u002Fjob_portal2\u002Fdevk-logo-print.svg",[96],"Köln",[50],60000,80000,[57],{"c#":61,"sql":61,"azure":61,"power bi":60,"rest apis":61,"javascript":61,"power apps":60,"power automate":60,"power virtual agents":61,"microsoft power platform":60},[103,104,105,106,107,108,109,110,111,112],"Microsoft Power Platform","Power Apps","Power Automate","Power BI","Power Virtual Agents","Azure","SQL","C#","JavaScript","REST APIs",{"automation":60,"data modeling":61,"ai integration":61,"business analysis":60,"solution architecture":60,"application development":60},[115,116,117,118,74,119],"Business Analysis","Solution Architecture","Application Development","Automation","AI Integration",{"id":121,"slug":122,"title":123,"raw_title":40,"is_featured":41,"company":124,"raw_hiringOrganization_logo_url":127,"processed_city_gmaps":128,"processed_country_iso_code_gmaps":129,"processed_home_office":51,"processed_salary_min":130,"processed_salary_max":52,"processed_salary_currency":54,"processed_salary_source":55,"processed_working_hours":131,"processed_employment_types":58,"processed_it_skills":133,"processed_it_skills_labels":134,"processed_job_expertise_skills":135,"processed_job_expertise_skills_labels":136,"max_cpc":86,"actual_cpc":86},48521,"data-steward-mwd-fuer-personendaten-kreissparkasse-koeln","Data Steward (m\u002Fw\u002Fd) für “Personendaten”",{"name":125,"slug":126,"logo_url":40},"Kreissparkasse Köln","kreissparkasse-koeln","https:\u002F\u002Finstitute-logos.sparkasse.de\u002F37050299.svg",[96],[50],75000,[57,132],"PART_TIME",{},[],{"data modeling":61,"data governance":60,"data management":60,"data structures":61,"process management":60,"regulatory compliance":60},[137,138,139,140,74,141],"Data Management","Process Management","Regulatory Compliance","Data Governance","Data Structures",{"id":143,"slug":144,"title":145,"raw_title":40,"is_featured":41,"company":146,"raw_hiringOrganization_logo_url":149,"processed_city_gmaps":150,"processed_country_iso_code_gmaps":152,"processed_home_office":51,"processed_salary_min":153,"processed_salary_max":154,"processed_salary_currency":54,"processed_salary_source":55,"processed_working_hours":155,"processed_employment_types":58,"processed_it_skills":156,"processed_it_skills_labels":157,"processed_job_expertise_skills":162,"processed_job_expertise_skills_labels":163,"max_cpc":86,"actual_cpc":86},47625,"product-owner-data-reporting-mwd-deutsche-pfandbriefbank-ag","Product Owner Data & Reporting (m\u002Fw\u002Fd)",{"name":147,"slug":148,"logo_url":40},"Deutsche Pfandbriefbank AG","deutsche-pfandbriefbank-ag","https:\u002F\u002Fjobs-pfandbriefbank.com\u002Finc\u002Fdisplay_image.php?id=1&type=logo",[151],"Garching bei München",[50],70000,95000,[57],{"sap":61,"power bi":61,"snowflake":61,"databricks":61,"azure data factory":61},[158,159,160,161,106],"SAP","Snowflake","Databricks","Azure Data Factory",{"bcbs-239":61,"data modeling":61,"ai integration":61,"kpi definition":61,"data management":60,"roadmap planning":60,"product management":60,"business intelligence":60,"regulatory compliance":61,"backlog prioritization":60,"stakeholder management":60,"data quality management":60},[137,74,164,165,166,139,167,168,169,170,171,119],"Data Quality Management","Product Management","Business Intelligence","BCBS-239","KPI Definition","Stakeholder Management","Roadmap Planning","Backlog Prioritization",{"id":173,"slug":174,"title":175,"raw_title":40,"is_featured":41,"company":176,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":180,"processed_country_iso_code_gmaps":182,"processed_home_office":51,"processed_salary_min":52,"processed_salary_max":183,"processed_salary_currency":54,"processed_salary_source":55,"processed_working_hours":184,"processed_employment_types":58,"processed_it_skills":185,"processed_it_skills_labels":186,"processed_job_expertise_skills":190,"processed_job_expertise_skills_labels":191,"max_cpc":86,"actual_cpc":86},45460,"senior-finance-sap-solutions-expert-mfd-at-allianz-se-allianz-insurance","Senior Finance & SAP Solutions Expert (m\u002Ff\u002Fd) at Allianz SE",{"name":177,"slug":178,"logo_url":179},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[181],"Unterföhring",[50],120000,[57],{"sap r\u002F3":60,"sap s\u002F4hana":60,"generative ai":61},[187,188,189],"SAP R\u002F3","SAP S\u002F4HANA","Generative AI",{"finance":60,"accounting":60,"data modeling":61,"closing processes":60,"insurance knowledge":60,"process optimization":60,"technical accounting":60,"audit findings review":61},[192,193,194,195,196,197,74,198],"Finance","Accounting","Insurance Knowledge","Closing Processes","Audit Findings Review","Process Optimization","Technical Accounting",{"id":200,"slug":201,"title":202,"raw_title":40,"is_featured":41,"company":203,"raw_hiringOrganization_logo_url":207,"processed_city_gmaps":208,"processed_country_iso_code_gmaps":210,"processed_home_office":51,"processed_salary_min":153,"processed_salary_max":154,"processed_salary_currency":54,"processed_salary_source":55,"processed_working_hours":211,"processed_employment_types":58,"processed_it_skills":212,"processed_it_skills_labels":214,"processed_job_expertise_skills":231,"processed_job_expertise_skills_labels":232,"max_cpc":86,"actual_cpc":86},47649,"senior-full-stack-engineer-ai-driven-development-mwd-anwr-media-gmbh","Senior Full-Stack Engineer – AI-Driven Development (m\u002Fw\u002Fd)",{"name":204,"slug":205,"logo_url":206},"ANWR Media GmbH","anwr-media-gmbh","https:\u002F\u002Fjobs.anwr-group.com\u002Finc\u002Fdisplay_image.php?id=2&type=logo","",[209],"Mainhausen",[50],[57],{"aws":60,"ci\u002Fcd":61,"codex":61,"react":60,"bullmq":213,"docker":61,"nestjs":61,"caching":213,"node.js":60,"opencode":61,"rest apis":60,"typescript":60,"claude code":61,"observability":213,"secure coding":213,"github copilot":61,"data protection":213,"application security":213,"relational databases":60,"infrastructure as code":213,"performance optimization":213},2,[65,215,216,67,217,218,68,112,219,220,221,222,223,224,225,69,226,227,228,229,230],"Node.js","NestJS","AWS","Docker","Relational Databases","GitHub Copilot","Codex","OpenCode","Claude Code","BullMQ","Infrastructure as Code","Caching","Performance Optimization","Application Security","Secure Coding","Data Protection",{"logging":61,"alerting":61,"monitoring":61,"code review":60,"integration":61,"coding agents":60,"data modeling":61,"static analysis":61,"pair programming":61,"automated testing":61,"workflow creation":61,"architecture design":60,"root cause analysis":60,"e-commerce platforms":61,"software development":60,"ai-driven development":60,"marketplace solutions":61,"security requirements":61,"technical specification":60},[233,234,235,236,84,237,238,239,240,74,241,242,243,244,245,246,247,248,249],"Software Development","E-Commerce Platforms","Marketplace Solutions","Technical Specification","Pair Programming","Root Cause Analysis","Architecture Design","Security Requirements","Integration","Automated Testing","Monitoring","Logging","Alerting","AI-Driven Development","Coding Agents","Workflow Creation","Static Analysis",{"id":251,"slug":252,"title":253,"raw_title":40,"is_featured":41,"company":254,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":257,"processed_country_iso_code_gmaps":259,"processed_home_office":51,"processed_salary_min":260,"processed_salary_max":261,"processed_salary_currency":54,"processed_salary_source":55,"processed_working_hours":262,"processed_employment_types":263,"processed_it_skills":264,"processed_it_skills_labels":265,"processed_job_expertise_skills":269,"processed_job_expertise_skills_labels":270,"max_cpc":86,"actual_cpc":86},44749,"werkstudent-smart-data-services-mwd-deutsche-apotheker-und-aerztebank-eg","Werkstudent Smart Data Services (m\u002Fw\u002Fd)",{"name":255,"slug":256,"logo_url":40},"Deutsche Apotheker- und Ärztebank eG","deutsche-apotheker-und-aerztebank-eg",[258],"Düsseldorf",[50],20000,30000,[132],"student",{"sql":61,"excel":61,"ms office":61,"powerpoint":61},[109,266,267,268],"MS Office","Excel","PowerPoint",{"data modeling":61,"data governance":61,"report development":61,"metadata management":61},[74,271,140,272],"Metadata Management","Report Development",{"id":274,"slug":275,"title":276,"raw_title":40,"is_featured":41,"company":277,"raw_hiringOrganization_logo_url":280,"processed_city_gmaps":281,"processed_country_iso_code_gmaps":283,"processed_home_office":284,"processed_salary_min":285,"processed_salary_max":130,"processed_salary_currency":54,"processed_salary_source":55,"processed_working_hours":286,"processed_employment_types":58,"processed_it_skills":287,"processed_it_skills_labels":288,"processed_job_expertise_skills":294,"processed_job_expertise_skills_labels":295,"max_cpc":86,"actual_cpc":86},44529,"data-engineer-bi-specialist-mwd-data-warehouse-volkswohl-bund-lebensversicherung-a-g","Data Engineer \u002F BI Specialist (m\u002Fw\u002Fd) - Data Warehouse",{"name":278,"slug":279,"logo_url":40},"VOLKSWOHL BUND Lebensversicherung a. G.","volkswohl-bund-lebensversicherung-a-g","https:\u002F\u002Fapp.softgarden.io\u002Fassets\u002Fpublic\u002Fmedia\u002Fget\u002F8b1bafe6-bc78-4695-adb7-dbb058c83324\u002F1648626097634\u002FVOLKSWOHL-BUND.gif",[282],"Dortmund",[50],"onsite",55000,[57],{"etl":60,"sql":60,"cloud":61,"bi tools":61,"on-premises":61,"data warehousing":60},[109,289,290,291,292,293],"ETL","Data Warehousing","BI Tools","Cloud","On-Premises",{"compliance":61,"data quality":61,"data modeling":60,"documentation":61,"data governance":61,"requirements engineering":61},[74,140,296,297,298,299],"Data Quality","Compliance","Requirements Engineering","Documentation",{"id":301,"slug":302,"title":303,"raw_title":40,"is_featured":41,"company":304,"raw_hiringOrganization_logo_url":307,"processed_city_gmaps":308,"processed_country_iso_code_gmaps":309,"processed_home_office":284,"processed_salary_min":285,"processed_salary_max":130,"processed_salary_currency":54,"processed_salary_source":55,"processed_working_hours":310,"processed_employment_types":58,"processed_it_skills":311,"processed_it_skills_labels":312,"processed_job_expertise_skills":317,"processed_job_expertise_skills_labels":318,"max_cpc":86,"actual_cpc":86},42744,"power-platform-038-bi-specialistbusiness-automation-mwd-finovesta-gmbh","Power Platform & BI Specialist\u002FBusiness Automation (m\u002Fw\u002Fd)",{"name":305,"slug":306,"logo_url":40},"Finovesta GmbH","finovesta-gmbh","https:\u002F\u002Ffinovesta.de\u002Fwp-content\u002Fuploads\u002F2022\u002F04\u002FFinovesta_Logo_White_New.png",[258],[50],[57],{"sql":213,"excel":60,"python":61,"power bi":60,"dataverse":213,"power apps":61,"sharepoint":213,"power query":60,"microsoft 365":213,"power automate":61},[106,313,267,105,104,64,109,314,315,316],"Power Query","SharePoint","Microsoft 365","Dataverse",{"reporting":60,"prototyping":61,"data modeling":213,"data preparation":60,"process automation":60,"data security awareness":61,"business process analysis":60},[319,320,321,322,323,324,325],"Business process analysis","Process automation","Data preparation","Reporting","Data modeling","Prototyping","Data security awareness",{"id":327,"slug":328,"title":329,"raw_title":40,"is_featured":41,"company":330,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":333,"processed_country_iso_code_gmaps":334,"processed_home_office":51,"processed_salary_min":98,"processed_salary_max":52,"processed_salary_currency":54,"processed_salary_source":55,"processed_working_hours":335,"processed_employment_types":58,"processed_it_skills":336,"processed_it_skills_labels":337,"processed_job_expertise_skills":338,"processed_job_expertise_skills_labels":339,"max_cpc":86,"actual_cpc":86},37846,"spezialist-derivatives-und-meldewesen-mwd-bankhaus-metzler","Spezialist Derivatives und Meldewesen (m\u002Fw\u002Fd)*",{"name":331,"slug":332,"logo_url":40},"B. Metzler seel. Sohn & Co. Aktiengesellschaft","b-metzler-seel-sohn-co-aktiengesellschaft",[47],[50],[57],{},[],{"emir":60,"mmsr":60,"sftr":60,"mifir":60,"iso 20022":60,"data modeling":61,"change management":61,"release management":61,"regulatory reporting":60,"derivative settlement":60,"transaction reporting":60,"reporting process design":60},[340,341,342,343,344,345,346,347,323,348,349,350],"Derivative settlement","Transaction reporting","EMIR","MiFIR","MMSR","SFTR","ISO 20022","Regulatory reporting","Reporting process design","Change management","Release management",{"id":352,"slug":353,"title":354,"raw_title":40,"is_featured":41,"company":355,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":356,"processed_country_iso_code_gmaps":357,"processed_home_office":51,"processed_salary_min":358,"processed_salary_max":154,"processed_salary_currency":54,"processed_salary_source":55,"processed_working_hours":359,"processed_employment_types":58,"processed_it_skills":360,"processed_it_skills_labels":361,"processed_job_expertise_skills":364,"processed_job_expertise_skills_labels":365,"max_cpc":86,"actual_cpc":86},37840,"business-analyst-asset-management-bi-data-science-mwd-bankhaus-metzler","Business Analyst – Asset Management: BI & Data Science (m\u002Fw\u002Fd)*",{"name":331,"slug":332,"logo_url":40},[47],[50],65000,[57],{"sql":61,"python":61,"sap bo":213,"bpmn 2.0":213,"power bi":61},[64,109,106,362,363],"SAP BO","BPMN 2.0",{"risk metrics":213,"data modeling":61,"process modeling":61,"business analysis":60,"agile methodologies":61,"reporting solutions":60,"performance attribution":213},[115,74,366,367,368,369,370],"Process Modeling","Agile Methodologies","Performance Attribution","Risk Metrics","Reporting Solutions",{"id":372,"slug":373,"title":374,"raw_title":40,"is_featured":41,"company":375,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":376,"processed_country_iso_code_gmaps":377,"processed_home_office":51,"processed_salary_min":378,"processed_salary_max":379,"processed_salary_currency":54,"processed_salary_source":55,"processed_working_hours":380,"processed_employment_types":263,"processed_it_skills":381,"processed_it_skills_labels":382,"processed_job_expertise_skills":386,"processed_job_expertise_skills_labels":387,"max_cpc":86,"actual_cpc":409},9353,"praktikant-fuer-das-pricing-aktuariat-mwd-allianz-insurance","Praktikant für das Pricing Aktuariat (m\u002Fw\u002Fd)",{"name":177,"slug":178,"logo_url":179},[181],[50],36000,45000,[57],{"ms office":61,"data mining tools":61,"data analysis tools":61,"machine learning tools":61},[266,383,384,385],"Data Analysis Tools","Machine Learning Tools","Data Mining Tools",{"reporting":61,"statistics":60,"backtesting":61,"data mining":60,"risk models":60,"lapse models":60,"project work":61,"underwriting":61,"data analysis":60,"data modeling":60,"pricing tools":61,"data collection":61,"impact analysis":61,"data preparation":61,"machine learning":60,"technical pricing":60,"actuarial analysis":60,"product development":61,"process optimization":61,"actuarial methodology":60,"financial mathematics":61,"insurance mathematics":61,"strategic initiatives":61,"stochastic forecasting models":60},[388,389,390,391,392,74,393,394,395,396,397,197,398,399,400,401,402,403,404,322,405,406,407,408],"Stochastic Forecasting Models","Risk Models","Lapse Models","Technical Pricing","Data Analysis","Machine Learning","Statistics","Data Mining","Actuarial Methodology","Data Collection","Project Work","Strategic Initiatives","Product Development","Impact Analysis","Pricing Tools","Underwriting","Actuarial Analysis","Data Preparation","Backtesting","Financial Mathematics","Insurance Mathematics",0.8,{"industry":411,"employment_type":431,"expertise_skills":437,"it_skills":488,"salary_currency":546,"processed_working_hours":548},[412,416,419,422,425,428],{"key":413,"label":414,"count":415},"banking","Banking",5,{"key":417,"label":418,"count":60},"insurance","Insurance",{"key":420,"label":421,"count":61},"financial services","Financial Services",{"key":423,"label":424,"count":86},"asset management","Asset Management",{"key":426,"label":427,"count":86},"e-commerce","E-Commerce",{"key":429,"label":430,"count":86},"digital services","Digital Services",[432,435],{"key":58,"label":433,"count":434},"PERMANENT",10,{"key":263,"label":436,"count":213},"STUDENT",[438,440,442,444,446,448,450,452,455,457,459,461,463,465,467,469,472,474,476,478,480,482,484,486],{"key":439,"label":74,"slug":439,"count":34},"data-modeling",{"key":441,"label":140,"slug":441,"count":61},"data-governance",{"key":443,"label":322,"slug":443,"count":213},"reporting",{"key":445,"label":137,"slug":445,"count":213},"data-management",{"key":447,"label":139,"slug":447,"count":213},"regulatory-compliance",{"key":449,"label":84,"slug":449,"count":213},"code-review",{"key":451,"label":197,"slug":451,"count":213},"process-optimization",{"key":453,"label":454,"slug":453,"count":213},"ai-integration","Ai Integration",{"key":456,"label":405,"slug":456,"count":213},"data-preparation",{"key":458,"label":115,"slug":458,"count":213},"business-analysis",{"key":460,"label":245,"slug":460,"count":86},"alerting",{"key":462,"label":118,"slug":462,"count":86},"automation",{"key":464,"label":171,"slug":464,"count":86},"backlog-prioritization",{"key":466,"label":406,"slug":466,"count":86},"backtesting",{"key":468,"label":242,"slug":468,"count":86},"automated-testing",{"key":470,"label":471,"slug":470,"count":86},"ai-driven-development","Ai-Driven Development",{"key":473,"label":396,"slug":473,"count":86},"actuarial-methodology",{"key":475,"label":196,"slug":475,"count":86},"audit-findings-review",{"key":477,"label":195,"slug":477,"count":86},"closing-processes",{"key":479,"label":234,"slug":479,"count":86},"e-commerce-platforms",{"key":481,"label":75,"slug":481,"count":86},"cloud-native-architecture",{"key":483,"label":194,"slug":483,"count":86},"insurance-knowledge",{"key":485,"label":247,"slug":485,"count":86},"coding-agents",{"key":487,"label":297,"slug":487,"count":86},"compliance",[489,491,494,496,498,500,502,504,507,509,512,515,518,520,522,524,526,528,530,532,535,538,541,544],{"key":490,"label":109,"slug":490,"count":415},"sql",{"key":492,"label":493,"slug":492,"count":60},"ms-powerbi","MS PowerBI",{"key":495,"label":64,"slug":495,"count":61},"python",{"key":497,"label":104,"slug":497,"count":213},"power-apps",{"key":499,"label":105,"slug":499,"count":213},"power-automate",{"key":501,"label":69,"slug":501,"count":213},"observability",{"key":503,"label":266,"slug":503,"count":213},"ms-office",{"key":505,"label":506,"slug":505,"count":213},"ms-excel","MS Excel",{"key":508,"label":67,"slug":508,"count":213},"react",{"key":510,"label":511,"slug":510,"count":213},"typescript","Typescript",{"key":513,"label":514,"slug":513,"count":213},"cicd","Ci\u002FCd",{"key":516,"label":517,"slug":516,"count":213},"rest-apis","Rest Apis",{"key":519,"label":383,"slug":519,"count":86},"data-analysis-tools",{"key":521,"label":385,"slug":521,"count":86},"data-mining-tools",{"key":523,"label":230,"slug":523,"count":86},"data-protection",{"key":525,"label":290,"slug":525,"count":86},"data-warehousing",{"key":527,"label":160,"slug":527,"count":86},"databricks",{"key":529,"label":316,"slug":529,"count":86},"dataverse",{"key":531,"label":218,"slug":531,"count":86},"docker",{"key":533,"label":534,"slug":533,"count":86},"etl","Etl",{"key":536,"label":537,"slug":536,"count":86},"generative-ai","Generative Ai",{"key":539,"label":540,"slug":539,"count":86},"github-copilot","Github Copilot",{"key":542,"label":543,"slug":542,"count":86},"infrastructure-as-code","Infrastructure As Code",{"key":545,"label":63,"slug":545,"count":86},"java",[547],{"key":54,"label":54,"count":34},[549,551],{"key":57,"label":57,"count":550},11,{"key":132,"label":132,"count":213},{"total":553,"jobs":554},0,[]]