[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-azure-data-factory-de":3,"job-search-\u002Fde-de\u002Fjobs-by-skill\u002Fazure-data-factory":33,"skill-page-filters-\u002Fde-de\u002Fjobs-by-skill\u002Fazure-data-factory":82,"featured-jobs-\u002Fde-de\u002Fjobs-by-skill\u002Fazure-data-factory":135},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fskill\u002Fazure-data-factory.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","Azure Data Factory ist ein zentraler Bestandteil der modernen Datenverarbeitung in [Deutschland](\u002Fsearch) und gewinnt insbesondere im [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Banking And Financial Services](\u002Fjobs-by-industry\u002Fbanking-and-financial-services) zunehmend an Bedeutung. Als cloudbasierter ETL\u002FELT-Dienst ermöglicht Azure Data Factory die Erstellung datengesteuerter Workflows für die Orchestrierung und Automatisierung von Datenverschiebungen und -transformationen. In der deutschen Finanzbranche unterstützt die Technologie kritische Prozesse wie [Data Management](\u002Fjobs-by-expertise\u002Fdata-management), [Data Quality Management](\u002Fjobs-by-expertise\u002Fdata-quality-management) und die Integration in [Data Warehousing](\u002Fjobs-by-expertise\u002Fdata-warehousing)-Lösungen. Unternehmen wie die **Donner & Reuschel AG** nutzen Azure Data Factory, um ihre Datenpipelines zu optimieren und so die Effizienz in Bereichen wie [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management) und [Regulatory Compliance](\u002Fjobs-by-expertise\u002Fregulatory-compliance) zu steigern. Die Relevanz von Azure Data Factory wird durch den wachsenden Bedarf an [Data Analytics](\u002Fjobs-by-expertise\u002Fdata-analytics) und der Implementierung von [DevOps](\u002Fjobs-by-expertise\u002Fdevops)-Praktiken in deutschen Finanzinstituten weiter verstärkt.",{"title":10,"content":11},"Top-Branchen & Standorte","In [Deutschland](\u002Fsearch) ist Azure Data Factory vor allem in der [Banking And Financial Services](\u002Fjobs-by-industry\u002Fbanking-and-financial-services)-Branche gefragt, gefolgt von allgemeinen [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services). Top-Standorte für entsprechende Stellenangebote sind **Hamburg** und **Essen**, wobei auch in [Heilbronn](\u002Fjobs-in-heilbronn) und [Bergisch Gladbach](\u002Fjobs-in-bergisch-gladbach) relevante Positionen zu finden sind. In Hamburg profitieren Unternehmen von der Nähe zu FinTech-Initiativen und setzen Azure Data Factory für [Data Management](\u002Fjobs-by-expertise\u002Fdata-management) und [Data Quality Management](\u002Fjobs-by-expertise\u002Fdata-quality-management) ein. In Essen hingegen konzentrieren sich Anwendungen auf die Integration mit Tools wie [SQL Server](\u002Fjobs-by-skill\u002Fsql-server) und [Databricks](\u002Fjobs-by-skill\u002Fdatabricks) zur Unterstützung von [Data Warehousing](\u002Fjobs-by-expertise\u002Fdata-warehousing)-Projekten. Die Branche [Banking](\u002Fjobs-by-industry\u002Fbanking) nutzt die Plattform zudem für [Error Handling](\u002Fjobs-by-expertise\u002Ferror-handling) und [File Transfer](\u002Fjobs-by-expertise\u002Ffile-transfer) in komplexen Datenökosystemen. Diese geografische Verteilung unterstreicht die Bedeutung von Azure Data Factory für datenintensive Finanzdienstleistungen in urbanen Zentren [Deutschlands](\u002Fsearch).",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Führende Arbeitgeber für Azure Data Factory-Experten in [Deutschland](\u002Fsearch) sind die **Donner & Reuschel AG** und die **Lowell Service Center GmbH**. Gefragte IT-Skills umfassen [Microsoft Azure](\u002Fjobs-by-skill\u002Fmicrosoft-azure), [SQL](\u002Fjobs-by-skill\u002Fsql), [Databricks](\u002Fjobs-by-skill\u002Fdatabricks), [Fabric](\u002Fjobs-by-skill\u002Ffabric), [Power BI](\u002Fjobs-by-skill\u002Fpower-bi) sowie [ETL\u002FELT Tools](\u002Fjobs-by-skill\u002Fetl-elt-tools) und [Oracle Data Integrator (ODI)](\u002Fjobs-by-skill\u002Foracle-data-integrator-odi). Ergänzend sind Kenntnisse in [Control-M](\u002Fjobs-by-skill\u002Fcontrol-m) oder [BMC Control M](\u002Fjobs-by-skill\u002Fbmc-control-m) für [Job Control](\u002Fjobs-by-expertise\u002Fjob-control) und [Release Management](\u002Fjobs-by-expertise\u002Frelease-management) von Vorteil. Expertise in [Data Analytics](\u002Fjobs-by-expertise\u002Fdata-analytics) und [Data Management](\u002Fjobs-by-expertise\u002Fdata-management) ist ebenso essenziell wie Grundlagen in [DevOps](\u002Fjobs-by-expertise\u002Fdevops) und [Documentation](\u002Fjobs-by-expertise\u002Fdocumentation). Diese Skills werden insbesondere in [Hamburg](\u002Fjobs-in-hamburg) und [Essen](\u002Fjobs-in-essen) nachgefragt, wo Unternehmen auf cloudbasierte Datenintegration setzen. Die Kombination aus technischen Fähigkeiten und Branchenknow-how in [Banking And Financial Services](\u002Fjobs-by-industry\u002Fbanking-and-financial-services) macht Azure Data Factory-Spezialisten zu gefragten Fachkräften auf dem deutschen Arbeitsmarkt.",{"title":16,"content":17},"Karriere & Entwicklung","Die Karriereperspektiven für Azure Data Factory-Experten in [Deutschland](\u002Fsearch) sind vielversprechend, mit Einstiegsmöglichkeiten als Data Engineer oder Cloud Data Specialist. Mit Erfahrung können Fachkräfte in Rollen wie Senior Data Engineer oder Cloud Architect aufsteigen, insbesondere in Branchen wie [Banking And Financial Services](\u002Fjobs-by-industry\u002Fbanking-and-financial-services). Zentrale Entwicklungsbereiche umfassen die Vertiefung von [Data Management](\u002Fjobs-by-expertise\u002Fdata-management), [Data Quality Management](\u002Fjobs-by-expertise\u002Fdata-quality-management) und [Data Analytics](\u002Fjobs-by-expertise\u002Fdata-analytics), ergänzt durch [Project Management](\u002Fjobs-by-expertise\u002Fproject-management)-Fähigkeiten. Standorte wie **Hamburg** und **Essen** bieten durch ihre Finanzcluster ausgezeichnete Netzwerkmöglichkeiten. Zertifizierungen in [Microsoft Azure](\u002Fjobs-by-skill\u002Fmicrosoft-azure) oder [SQL](\u002Fjobs-by-skill\u002Fsql) steigern die Employability, während Kenntnisse in [DevOps](\u002Fjobs-by-expertise\u002Fdevops) und [Release Management](\u002Fjobs-by-expertise\u002Frelease-management) die Übernahme verantwortungsvollerer Positionen fördern. Langfristig führt der Weg in die strategische Datenarchitektur oder Führungsrollen in [Data Warehousing](\u002Fjobs-by-expertise\u002Fdata-warehousing)-Projekten, wobei kontinuierliche Weiterbildung in Tools wie [Databricks](\u002Fjobs-by-skill\u002Fdatabricks) und [Power BI](\u002Fjobs-by-skill\u002Fpower-bi) entscheidend ist.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","Azure Data Factory is a critical cloud-based data integration service that enables organizations to create, schedule, and orchestrate data workflows efficiently. In [Deutschland](\u002Fsearch), where digital transformation is accelerating across the financial sector, ADF plays a pivotal role in modernizing data infrastructure. Financial institutions leverage ADF for seamless [data management](\u002Fjobs-by-expertise\u002Fdata-management), ensuring reliable [data quality management](\u002Fjobs-by-expertise\u002Fdata-quality-management) and robust [error handling](\u002Fjobs-by-expertise\u002Ferror-handling) processes. The service supports complex ETL\u002FELT operations, making it indispensable for [banking and financial services](\u002Fjobs-by-industry\u002Fbanking-and-financial-services) companies aiming to enhance operational efficiency and compliance. With Germany's strong emphasis on data security and regulatory adherence, ADF's integration with [Microsoft Azure](\u002Fjobs-by-skill\u002Fmicrosoft-azure) provides a secure, scalable solution for handling sensitive financial data, driving innovation in [data analytics](\u002Fjobs-by-expertise\u002Fdata-analytics) and business intelligence.",{"title":23,"content":24},"Top Industries & Locations","In [Deutschland](\u002Fsearch), Azure Data Factory is predominantly utilized in the [banking and financial services](\u002Fjobs-by-industry\u002Fbanking-and-financial-services) and broader [financial services](\u002Fjobs-by-industry\u002Ffinancial-services) sectors. Key hubs include **Hamburg**, a major financial center home to institutions like Donner & Reuschel AG, and **Essen**, known for its growing fintech and service providers such as Lowell Service Center GmbH. These locations offer abundant opportunities for professionals skilled in ADF, particularly in roles involving [data warehousing](\u002Fjobs-by-expertise\u002Fdata-warehousing) and [DevOps](\u002Fjobs-by-expertise\u002Fdevops). The demand is driven by the need for efficient [file transfer](\u002Fjobs-by-expertise\u002Ffile-transfer) systems and advanced [data analytics](\u002Fjobs-by-expertise\u002Fdata-analytics) capabilities. Companies in these cities are investing heavily in cloud technologies to streamline operations, making ADF expertise highly sought after for projects related to [documentation](\u002Fjobs-by-expertise\u002Fdocumentation) and [release management](\u002Fjobs-by-expertise\u002Frelease-management).",{"title":26,"content":27},"In-Demand Skills & Employers","Proficiency in Azure Data Factory is often complemented by skills in [SQL](\u002Fjobs-by-skill\u002Fsql), [Databricks](\u002Fjobs-by-skill\u002Fdatabricks), and ETL\u002FELT tools, which are essential for effective [data management](\u002Fjobs-by-expertise\u002Fdata-management). Employers like **Donner & Reuschel AG** and **Lowell Service Center GmbH** value expertise in [Microsoft Azure](\u002Fjobs-by-skill\u002Fmicrosoft-azure), [SQL Server](\u002Fjobs-by-skill\u002Fsql-server), and [Power BI](\u002Fjobs-by-skill\u002Fpower-bi) for roles focused on [job control](\u002Fjobs-by-expertise\u002Fjob-control) and [data quality management](\u002Fjobs-by-expertise\u002Fdata-quality-management). Knowledge of orchestration tools such as [Control-M](\u002Fjobs-by-skill\u002Fcontrol-m) or BMC Control-M is also advantageous. In Germany's competitive job market, familiarity with [Fabric](\u002Fjobs-by-skill\u002Ffabric) and Oracle Data Integrator (ODI) can differentiate candidates. These skills are crucial for implementing scalable data solutions, supporting [DevOps](\u002Fjobs-by-expertise\u002Fdevops) practices, and ensuring compliance with [documentation](\u002Fjobs-by-expertise\u002Fdocumentation) standards in financial environments.",{"title":29,"content":30},"Career & Development","A career specializing in Azure Data Factory in [Deutschland](\u002Fsearch) offers significant growth potential, especially within the [banking and financial services](\u002Fjobs-by-industry\u002Fbanking-and-financial-services) sector. Professionals can advance from data engineer roles to positions in [project management](\u002Fjobs-by-expertise\u002Fproject-management) or [data analytics](\u002Fjobs-by-expertise\u002Fdata-analytics) leadership. Continuous learning in emerging technologies like [Databricks](\u002Fjobs-by-skill\u002Fdatabricks) and [Microsoft Azure](\u002Fjobs-by-skill\u002Fmicrosoft-azure) is key to staying relevant. Certifications in Azure data services enhance employability with top employers such as Donner & Reuschel AG and Lowell Service Center GmbH. The focus on [data quality management](\u002Fjobs-by-expertise\u002Fdata-quality-management) and [error handling](\u002Fjobs-by-expertise\u002Ferror-handling) opens doors to roles in [regulatory compliance](\u002Fjobs-by-expertise\u002Fregulatory-compliance) and [risk management](\u002Fjobs-by-expertise\u002Frisk-management). With Germany's push toward digitalization, expertise in ADF and related [DevOps](\u002Fjobs-by-expertise\u002Fdevops) tools ensures long-term career stability and opportunities for innovation in data-driven financial solutions.","skill:azure-data-factory:de","2026-08-17T09:05:12.585658+02:00",{"total":34,"jobs":35},1,[36],{"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":48,"processed_home_office":50,"processed_salary_min":51,"processed_salary_max":52,"processed_salary_currency":53,"processed_salary_source":54,"processed_working_hours":55,"processed_employment_types":57,"processed_it_skills":58,"processed_it_skills_labels":60,"processed_job_expertise_skills":66,"processed_job_expertise_skills_labels":68,"max_cpc":34,"actual_cpc":81},47625,"product-owner-data-reporting-mwd-deutsche-pfandbriefbank-ag","Product Owner Data & Reporting (m\u002Fw\u002Fd)",null,false,{"name":43,"slug":44,"logo_url":40},"Deutsche Pfandbriefbank AG","deutsche-pfandbriefbank-ag","https:\u002F\u002Fjobs-pfandbriefbank.com\u002Finc\u002Fdisplay_image.php?id=1&type=logo",[47],"Garching bei München",[49],"DE","hybrid",70000,95000,"EUR","estimated",[56],"FULL_TIME","permanent",{"sap":59,"power bi":59,"snowflake":59,"databricks":59,"azure data factory":59},3,[61,62,63,64,65],"SAP","Snowflake","Databricks","Azure Data Factory","Power BI",{"bcbs-239":59,"data modeling":59,"ai integration":59,"kpi definition":59,"data management":67,"roadmap planning":67,"product management":67,"business intelligence":67,"regulatory compliance":59,"backlog prioritization":67,"stakeholder management":67,"data quality management":67},4,[69,70,71,72,73,74,75,76,77,78,79,80],"Data Management","Data Modeling","Data Quality Management","Product Management","Business Intelligence","Regulatory Compliance","BCBS-239","KPI Definition","Stakeholder Management","Roadmap Planning","Backlog Prioritization","AI Integration",0.8,{"industry":83,"employment_type":87,"expertise_skills":90,"it_skills":118,"salary_currency":131,"processed_working_hours":133},[84],{"key":85,"label":86,"count":34},"banking","Banking",[88],{"key":57,"label":89,"count":34},"PERMANENT",[91,94,97,99,101,103,105,107,109,111,113,115],{"key":92,"label":93,"slug":92,"count":34},"kpi-definition","Kpi Definition",{"key":95,"label":96,"slug":95,"count":34},"bcbs-239","Bcbs-239",{"key":98,"label":71,"slug":98,"count":34},"data-quality-management",{"key":100,"label":72,"slug":100,"count":34},"product-management",{"key":102,"label":69,"slug":102,"count":34},"data-management",{"key":104,"label":70,"slug":104,"count":34},"data-modeling",{"key":106,"label":79,"slug":106,"count":34},"backlog-prioritization",{"key":108,"label":74,"slug":108,"count":34},"regulatory-compliance",{"key":110,"label":77,"slug":110,"count":34},"stakeholder-management",{"key":112,"label":78,"slug":112,"count":34},"roadmap-planning",{"key":114,"label":73,"slug":114,"count":34},"business-intelligence",{"key":116,"label":117,"slug":116,"count":34},"ai-integration","Ai Integration",[119,122,125,127,129],{"key":120,"label":121,"slug":120,"count":34},"ms-powerbi","MS PowerBI",{"key":123,"label":124,"slug":123,"count":34},"sap","Sap",{"key":126,"label":64,"slug":126,"count":34},"azure-data-factory",{"key":128,"label":62,"slug":128,"count":34},"snowflake",{"key":130,"label":63,"slug":130,"count":34},"databricks",[132],{"key":53,"label":53,"count":34},[134],{"key":56,"label":56,"count":34},{"total":136,"jobs":137},0,[]]