[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-at\u002Fjobs-by-skill\u002Fdata-modeling":3,"seo-content-skill-data-modeling-at":86,"skill-page-filters-\u002Fde-at\u002Fjobs-by-skill\u002Fdata-modeling":116,"featured-jobs-\u002Fde-at\u002Fjobs-by-skill\u002Fdata-modeling":207},{"total":4,"jobs":5},2,[6,56],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":31,"processed_job_expertise_skills":46,"processed_job_expertise_skills_labels":47,"max_cpc":55,"actual_cpc":55},70992,"senior-data-engineer-mwd-allianz-insurance","(Senior) Data Engineer (m\u002Fw\u002Fd)",null,false,{"name":13,"slug":14,"logo_url":15},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[17],"Wien",[19],"AT","hybrid",60000,70000,"EUR","estimated",[26],"FULL_TIME","permanent",{"ai":29,"git":29,"numpy":30,"pandas":30,"python":30,"etl\u002Felt":30,"pyspark":30,"databricks":30,"scikit-learn":30,"azure synapse":30,"data modeling":30,"ci\u002Fcd pipelines":29,"machine learning":29,"microsoft fabric":30},3,4,[32,33,34,35,36,37,38,39,40,41,42,43,44,45],"Python","PySpark","Databricks","Azure Synapse","Microsoft Fabric","Pandas","NumPy","Scikit-Learn","CI\u002FCD Pipelines","Git","Data Modeling","ETL\u002FELT","AI","Machine Learning",{"data quality":29,"data security":29,"data migration":29,"data pipelines":30,"data architecture":30,"process automation":29,"big data processing":30},[48,49,50,51,52,53,54],"Data Architecture","Big Data Processing","Data Pipelines","Data Security","Data Quality","Data Migration","Process Automation",1,{"id":57,"slug":58,"title":59,"raw_title":10,"is_featured":11,"company":60,"raw_hiringOrganization_logo_url":63,"processed_city_gmaps":64,"processed_country_iso_code_gmaps":66,"processed_home_office":20,"processed_salary_min":67,"processed_salary_max":68,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":69,"processed_employment_types":27,"processed_it_skills":70,"processed_it_skills_labels":71,"processed_job_expertise_skills":79,"processed_job_expertise_skills_labels":80,"max_cpc":55,"actual_cpc":85},44553,"cloud-data-engineer-all-genders-in-vollzeit-aktuelle-jobs-btv-vier-laender-bank-ag","Cloud Data Engineer (all genders) in Vollzeit",{"name":61,"slug":62,"logo_url":10},"Bank für Tirol und Vorarlberg Aktiengesellschaft","bank-fuer-tirol-und-vorarlberg-aktiengesellschaft","https:\u002F\u002Fwww.btv-jobs.at\u002Finc\u002Fdisplay_image.php?id=1&type=logo",[65],"Innsbruck",[19],3710.56,5000,[26],{"sql":29,"devops":29,"python":29,"data modeling":29,"cloud security":29,"data governance":29,"microsoft azure":29,"microsoft fabric":29,"microsoft dataverse":29,"infrastructure as code":29},[72,36,73,74,32,42,75,76,77,78],"Microsoft Azure","Microsoft Dataverse","SQL","Cloud Security","Data Governance","DevOps","Infrastructure as Code",{"dataops":29,"compliance":29,"data pipelines":29,"data governance":29,"data engineering":29,"lakehouse architecture":29},[81,82,50,83,76,84],"Data Engineering","Lakehouse Architecture","DataOps","Compliance",0.8,{"image_path":87,"content_de":88,"content_en":101,"composite_key":114,"last_updated":115},"\u002Fimages\u002Fskill\u002Fdata-modeling.webp",{"tab1":89,"tab2":92,"tab3":95,"tab4":98},{"title":90,"content":91},"Bedeutung & Relevanz","Data Modeling ist in Österreich von entscheidender Bedeutung, insbesondere im dynamischen Finanzsektor. Es ermöglicht Banken wie der [Bank für Tirol und Vorarlberg Aktiengesellschaft](\u002Fcompany\u002Fbank-fuer-tirol-und-vorarlberg-aktien-gesellschaft) in [Innsbruck](\u002Fjobs-in-innsbruck), komplexe Datenstrukturen zu organisieren und zu optimieren, was zu besseren Entscheidungsprozessen und effizienteren [Banking](\u002Fjobs-by-industry\u002Fbanking)-Operationen führt. Durch die Schaffung klarer Datenmodelle können Unternehmen regulatorische Anforderungen besser erfüllen und datengesteuerte Wertschöpfungsketten aufbauen, die Wettbewerbsvorteile in der österreichischen Wirtschaft sichern. In einer Zeit, in der Datenintegration und -harmonisierung immer wichtiger werden, stellt Data Modeling die Grundlage für robuste [Data Architecture](\u002Fjobs-by-expertise\u002Fdata-architecture) dar und unterstützt die Einhaltung von Compliance-Standards, was es zu einem unverzichtbaren Skill in Österreichs Finanzlandschaft macht.",{"title":93,"content":94},"Top-Branchen & Standorte","In Österreich ist Data Modeling besonders in der [Banking](\u002Fjobs-by-industry\u002Fbanking)-Branche gefragt, wo Institutionen wie die [Bank für Tirol und Vorarlberg Aktiengesellschaft](\u002Fcompany\u002Fbank-fuer-tirol-und-vorarlberg-aktien-gesellschaft) auf präzise Datenmodelle angewiesen sind, um Geschäftsprozesse zu optimieren. Top-Standorte für diese Fähigkeit umfassen [Innsbruck](\u002Fjobs-in-innsbruck), ein wichtiges Finanzzentrum in Tirol, sowie andere österreichische Städte wie [Wien](\u002Fjobs-in-wien) und [Salzburg](\u002Fjobs-in-salzburg), die eine lebhafte [Banking](\u002Fjobs-by-industry\u002Fbanking)- und [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services)-Szene hosten. Darüber hinaus ist Data Modeling auch in verwandten Bereichen wie [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und [Fintech](\u002Fjobs-by-industry\u002Ffintech) von großer Bedeutung, wo Datenintegration und -harmonisierung Schlüssel zur Wertschöpfung sind. Diese Standorte und Branchen bieten zahlreiche Möglichkeiten für Fachkräfte, die sich auf Data Modeling spezialisieren möchten.",{"title":96,"content":97},"Gefragte Skills & Arbeitgeber","Führende Arbeitgeber in Österreich, die Data Modeling schätzen, include die [Bank für Tirol und Vorarlberg Aktiengesellschaft](\u002Fcompany\u002Fbank-fuer-tirol-und-vorarlberg-aktien-gesellschaft), die auf Expertise in [Data Architecture](\u002Fjobs-by-expertise\u002Fdata-architecture) und datengesteuerten Wertschöpfungsketten setzt. Gefragte verwandte Expertisen umfassen [Data Integration and Harmonization](\u002Fjobs-by-expertise\u002Fdata-integration-and-harmonization) sowie ein tiefes Verständnis für regulatorische Anforderungen, die in der [Banking](\u002Fjobs-by-industry\u002Fbanking)-Branche unerlässlich sind. Weitere wichtige Skills sind Kenntnisse in modernen Datenplattformen und [ETL\u002FELT Processes](\u002Fjobs-by-skill\u002Fetl-elt-processes), die zur effektiven Umsetzung von Data-Modelling-Lösungen beitragen. Unternehmen suchen nach Profilen, die diese Expertisen kombinieren, um innovative Datenstrategien in Österreich voranzutreiben und wettbewerbsfähig zu bleiben.",{"title":99,"content":100},"Karriere & Entwicklung","Karrierewege in Data Modeling in Österreich beginnen oft mit einer Spezialisierung in verwandten IT-Skills wie [SQL](\u002Fjobs-by-skill\u002Fsql) und [ETL\u002FELT Processes](\u002Fjobs-by-skill\u002Fetl-elt-processes), gefolgt von praktischer Erfahrung in modernen Datenplattformen. Um sich weiterzuentwickeln, sollten Fachkräfte Kurse in [Data Architecture](\u002Fjobs-by-expertise\u002Fdata-architecture) und datengesteuerten Wertschöpfungsketten belegen, um ein umfassendes Verständnis für Datenintegration und -harmonisierung zu erlangen. Zertifizierungen in relevanten Technologien und die Teilnahme an Branchenevents in Städten wie [Innsbruck](\u002Fjobs-in-innsbruck) können die Karrierechancen verbessern. Langfristig führen diese Wege zu Rollen wie Data Architect oder Business Intelligence Analyst, wobei kontinuierliches Lernen und die Anpassung an neue regulatorische Anforderungen entscheidend für den Erfolg in Österreichs Finanzsektor sind.",{"tab1":102,"tab2":105,"tab3":108,"tab4":111},{"title":103,"content":104},"Strategic Importance","Data modeling is a critical skill in **Österreich**'s financial sector, enabling organizations to structure and manage data effectively for informed decision-making and regulatory compliance. In a country with stringent financial regulations, robust data models ensure data integrity, accuracy, and accessibility, supporting everything from risk assessment to customer analytics. For institutions like [Bank für Tirol und Vorarlberg Aktiengesellschaft](\u002Fcompany\u002Fbank-fuer-tirol-und-vorarlberg-aktien-gesellschaft), effective data modeling underpins operational efficiency and strategic initiatives, such as developing data-driven value chains. It helps in harmonizing disparate data sources, which is essential for meeting [regulatory requirements understanding](\u002Fjobs-by-expertise\u002Fregulatory-requirements-understanding) in the [banking](\u002Fjobs-by-industry\u002Fbanking) industry. As **Österreich** continues to embrace digital transformation, the ability to create scalable and compliant data models is becoming increasingly vital for maintaining competitiveness and driving innovation in financial services.",{"title":106,"content":107},"Top Industries & Locations","In **Österreich**, data modeling is in high demand across key industries, with [banking](\u002Fjobs-by-industry\u002Fbanking) leading the way due to its reliance on accurate data for compliance and customer insights. Other sectors like [asset management](\u002Fjobs-by-industry\u002Fasset-management) and [financial services](\u002Fjobs-by-industry\u002Ffinancial-services) also value this skill for portfolio analysis and risk management. Top locations for data modeling roles include [Innsbruck](\u002Fjobs-in-innsbruck), a hub for financial institutions and tech innovation, as well as other Austrian cities with growing financial sectors. These areas offer opportunities in firms focused on [data integration and harmonization](\u002Fjobs-by-expertise\u002Fdata-integration-and-harmonization), ensuring that data models support business goals. The demand is particularly strong in regions with a concentration of banks and fintech companies, where data-driven strategies are essential for growth and regulatory adherence.",{"title":109,"content":110},"In-Demand Skills & Employers","Top employers in **Österreich** seeking data modeling expertise include [Bank für Tirol und Vorarlberg Aktiengesellschaft](\u002Fcompany\u002Fbank-fuer-tirol-und-vorarlberg-aktien-gesellschaft), which relies on robust data architectures for its operations. Key related expertises in demand are [data architecture](\u002Fjobs-by-expertise\u002Fdata-architecture), [data-driven value chains](\u002Fjobs-by-expertise\u002Fdata-driven-value-chains), and [data integration and harmonization](\u002Fjobs-by-expertise\u002Fdata-integration-and-harmonization), all crucial for building effective models. Additionally, a strong understanding of [regulatory requirements understanding](\u002Fjobs-by-expertise\u002Fregulatory-requirements-understanding) is essential to ensure compliance in the [banking](\u002Fjobs-by-industry\u002Fbanking) sector. Companies value professionals who can translate business needs into data structures, making skills in [SQL](\u002Fjobs-by-skill\u002Fsql) and [ETL\u002FELT processes](\u002Fjobs-by-skill\u002Fetl-elt-processes) highly sought after. This combination of technical and regulatory knowledge makes data modelers indispensable in **Österreich**'s financial landscape.",{"title":112,"content":113},"Career & Development","A career in data modeling in **Österreich** often starts with roles in data analysis or [data architecture](\u002Fjobs-by-expertise\u002Fdata-architecture), progressing to senior positions such as data modeler or data architect. To develop this skill, focus on learning [SQL](\u002Fjobs-by-skill\u002Fsql) for querying databases and mastering [ETL\u002FELT processes](\u002Fjobs-by-skill\u002Fetl-elt-processes) for data integration. Familiarity with [modern data platforms](\u002Fjobs-by-skill\u002Fmodern-data-platforms) is also key, as they support scalable modeling. Gaining expertise in [data-driven value chains](\u002Fjobs-by-expertise\u002Fdata-driven-value-chains) and [regulatory requirements understanding](\u002Fjobs-by-expertise\u002Fregulatory-requirements-understanding) can enhance your profile, especially in the [banking](\u002Fjobs-by-industry\u002Fbanking) industry. Consider certifications or courses in data management and attend industry events in **Österreich** to stay updated on trends. With experience, you can advance to leadership roles, driving data strategy and innovation in organizations across the country.","skill:data-modeling:at","2026-08-17T09:01:47.679836+02:00",{"industry":117,"employment_type":124,"expertise_skills":127,"it_skills":153,"salary_currency":203,"processed_working_hours":205},[118,121],{"key":119,"label":120,"count":55},"banking","Banking",{"key":122,"label":123,"count":55},"insurance","Insurance",[125],{"key":27,"label":126,"count":4},"PERMANENT",[128,130,132,134,136,138,140,142,145,147,149,151],{"key":129,"label":50,"slug":129,"count":4},"data-pipelines",{"key":131,"label":76,"slug":131,"count":55},"data-governance",{"key":133,"label":84,"slug":133,"count":55},"compliance",{"key":135,"label":82,"slug":135,"count":55},"lakehouse-architecture",{"key":137,"label":81,"slug":137,"count":55},"data-engineering",{"key":139,"label":49,"slug":139,"count":55},"big-data-processing",{"key":141,"label":48,"slug":141,"count":55},"data-architecture",{"key":143,"label":144,"slug":143,"count":55},"dataops","Dataops",{"key":146,"label":54,"slug":146,"count":55},"process-automation",{"key":148,"label":53,"slug":148,"count":55},"data-migration",{"key":150,"label":52,"slug":150,"count":55},"data-quality",{"key":152,"label":51,"slug":152,"count":55},"data-security",[154,156,158,160,163,166,169,171,174,176,177,179,181,183,186,188,190,193,196,198,201],{"key":155,"label":36,"slug":155,"count":4},"microsoft-fabric",{"key":157,"label":42,"slug":157,"count":4},"data-modeling",{"key":159,"label":32,"slug":159,"count":4},"python",{"key":161,"label":162,"slug":161,"count":55},"cicd-pipelines","Ci\u002FCd Pipelines",{"key":164,"label":165,"slug":164,"count":55},"pyspark","Pyspark",{"key":167,"label":168,"slug":167,"count":55},"ai","Ai",{"key":170,"label":41,"slug":170,"count":55},"git",{"key":172,"label":173,"slug":172,"count":55},"numpy","Numpy",{"key":175,"label":35,"slug":175,"count":55},"azure-synapse",{"key":131,"label":76,"slug":131,"count":55},{"key":178,"label":37,"slug":178,"count":55},"pandas",{"key":180,"label":39,"slug":180,"count":55},"scikit-learn",{"key":182,"label":73,"slug":182,"count":55},"microsoft-dataverse",{"key":184,"label":185,"slug":184,"count":55},"ms-azure","MS Azure",{"key":187,"label":34,"slug":187,"count":55},"databricks",{"key":189,"label":74,"slug":189,"count":55},"sql",{"key":191,"label":192,"slug":191,"count":55},"devops","Devops",{"key":194,"label":195,"slug":194,"count":55},"etlelt","Etl\u002FElt",{"key":197,"label":45,"slug":197,"count":55},"machine-learning",{"key":199,"label":200,"slug":199,"count":55},"infrastructure-as-code","Infrastructure As Code",{"key":202,"label":75,"slug":202,"count":55},"cloud-security",[204],{"key":23,"label":23,"count":4},[206],{"key":26,"label":26,"count":4},{"total":208,"jobs":209},0,[]]