Data Modeling Experts in Austria
with precise AI matching and vetted, available freelancersHire experts who design reliable data structures, map business concepts to databases, and prepare models for analytics, applications, and cloud migration. FRATCH matches you quickly with precise, vetted freelancers who are available when your project needs them.
Meet FRATCH Experts in Austria, who have recently used Data Modeling
Alexander P.
Last position:
Owner & Lecturer at Artellico / Own company for AI governance and data products
- Consulting and interim management at the intersection of IT operations and regulation
- Impact assessment and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Teaching assignments in Data & Information Management and Human-Machine Interaction at Hochschule Burgenland, since 2023
- Supervision of Master's theses and participation on examination boards
- Industry talks for businesses and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and Zero-Knowledge encryption, cloud-native on EU infrastructure
- Integration with bank account systems using SEPA direct debit mandates and message formats under ISO 20022 (pain.008, camt.053)
- MLOps and AIOps in live operations
- Own applications under my own brand: shared codebase, separate deployment for each target device
- AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Professional publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Professional publications on data sovereignty, cloud economics and industrial image processing
- AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics
Octavian G.
Last position:
Oracle DWH Analyst at Infomotion Gmbh
Oracle PL/SQL, Oracle SQL, ITIL
John A.
Last position:
Software Developer and DevOps Engineer at Bundesrechenzentrum (BRZ)
Refactoring and improving core APIs; implementing client change requests. Setting up metrics, traces, and logs monitoring infrastructure to support operations. Designing GitOps deployment and infrastructure as code. Applications and systems configuration in ArgoCD and Openshift. Confluence documentation of design, approach, and solution. Tech Stack: Java 8 & 21, Spring framework, JSP, JavaScript, Bash scripts, SQL, Grafana Stack, OpenTelemetry, Docker, DB2, Maven, Kubernetes Kompose.
Stefan M.
Last position:
SAP Architect at Manufacturing Industry
SAP Business Data Cloud / Datasphere rollout
Technologies: SAP Datasphere | SAP BTP | SAP Analytics Cloud | ETL / ELT | Security & Governance
Tasks / Responsibilities:
- Designing and implementing data architectures in SAP Business Data Cloud / Datasphere
- Designing spaces, data products, and data flows for integrated data models
- Connecting SAP and non-SAP systems via SDI, ODP, APIs
- Integration with SAP Analytics Cloud for self-service analytics
- Building governance, security, and authorization concepts
- Creating architecture guidelines & performance optimization
Results / Achievements:
- Introduced a central data catalog & authorization concept
- Laid the foundation for self-service analytics
Nikola N.
Last position:
Founder and CEO - Senior Business Analyst at fintechno AI GmbH
- Business analysis
- Requirements engineering
- System design
- Various insurance projects
- Technology stack: msg.Billing (InExkasso)
- Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI
Michael L.
Last position:
IAM Developer & IT Architect at Internationale Bank
Design and implementation of new functionalities in the areas of Lifecycle Management (LCM), Role Management (RLM) and Access Governance
Adjustment of the company-wide Segregation of Duties (SoD) matrix to ensure regulatory and internal compliance requirements
Further development and configuration of recertification processes
Creation and adaptation of custom workflows, rules and tasks in SailPoint IdentityIQ (BeanShell, XML, Java)
Use of static code analysis with SonarQube to ensure code quality and compliance with defined development standards
Regular code reviews within the development team to ensure quality, share knowledge and follow clean code principles
Work in an agile Scrum team with daily communication, sprint planning and reviews
Coordination with testers, test managers and business departments to ensure quality and smooth production rollout
Active involvement in release planning and deployment coordination, including test preparation, cutover activities and rollback strategies
Analysis and sustainable resolution of issues in the IAM production environment (2nd- and 3rd-level support)
Reproduction of complex errors, identification of root causes and implementation of lasting fixes
Creation of technical analyses and recommendations for operations and further development
Elija L.
Last position:
Fujitsu Deutschland
- Supporting and helping shape the development and further development of a company-wide HUB system in the Fujitsu environment for integrating a wide range of data sources and applications in an international context
- Design and implementation of data modeling, ETL processes, reporting, and data quality management
Stefania D.
Last position:
Data Engineer at Storebox
Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI
Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine
- Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
- Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
- Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
- Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
- Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
- Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
- Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).
Immo M.
Last position:
Interim Manager/Management Consultant at Austrian regional energy supplier
Further development of the data analytics system landscape based on MS Power BI
- Concept and development of ETL processes, primary data source SAP IS/U incl. extraction via Theobald extractors to Azure Synapse, support with SAP S/4 conversion
- Support in the concept and development of data models in Azure Synapse Analytics
- Gathering and implementation of requirements in the data analytics area from internal business units
- Identification, documentation and analysis of existing as well as cross-functional processes
- Data definition, data modeling & preparation as well as source selection for merging data from differently structured data sources
- Design of reports and dashboards based on MS Power BI
- Transfer of reporting processes from existing structures to MS Power BI Premium (PPU)
- Hands-on development and implementation of analyses, reports and dashboards based on Microsoft Power BI
- Power Apps for write-back processes from Power BI Premium to Azure SQL DB
- Power BI support as part of the SAP S/4 conversion
- Cooperation with internal business units and external development partners
- Coaching/training, documentation, development processes
Shahram F.
Last position:
Senior Product Owner at Elderly Neighbour Watch
Delivery of a digital, non-profit neighborhood platform connecting older people with volunteers for practical support and social companionship. Responsibility for business analysis, requirements definition, platform evaluation and delivery of a locally scalable service solution, with a focus on AI-supported development, data-driven optimization and clear market positioning. Evaluation of several low-code/business platforms, including Odoo and Glide Apps, as well as assessment of monday.com as a CRM-related option, before selecting Glide Apps for implementation. Implementation of a non-native mobile and desktop application with Glide Apps and the website with WordPress. Responsibilities
- Gathering, analyzing and structuring business requirements for the product and service model
- Conducting market, target group and competitor analyses to position the offering
- Evaluating and selecting suitable low-code/business platforms for implementation
- Defining key user journeys, business processes and operational workflows for older people, volunteers and Administration
- Translating business requirements into requirements for profiles, task management, coordination, communication and notifications
- Supporting the implementation of the non-native mobile and desktop application in Glide Apps and the website in WordPress
- Preparing future AI-supported functions such as intelligent matching and data-driven optimization
- Ensuring compliance with GDPR requirements Results
- Successfully delivered digital support platform connecting older people with volunteers
- Solid foundation for market positioning through market, target group and competitor analyses
- Implemented functional non-native mobile and desktop application with Glide Apps and accompanying website with WordPress
- Created foundation for scaling and AI-based further development
Laura H.
Last position:
Sr. BI Consultant & Project Manager at Multivariata
- Project Lead, Sr. BI Expert, Data Scientist, Automation Engineer for Marketing Analytics | Customer Insights (retail, e-commerce)
- Product Manager: Asset Metadata Ingest & Provide
- Product Owner Business Intelligence – responsible for 2 teams: cloud data engineering, data warehouse (logistics)
- Product Owner for setting up a reporting platform on Azure & Power BI (finance)
Jörg P.
Last position:
Process Manager (70%) / Business Analyst (30%) at T-Mobile Austria GmbH (Magenta)
- BSS system implementation for B2B / transformation of the central B2B system landscape
- End-to-end business responsibility for defining, structuring and prioritizing key B2B business processes as part of a complex BSS transformation.
- Work in an agile, SAFe-like setup with multiple teams involved, along with regular coordination with business, IT, solution design and architecture.
- Translation of business requirements into implementable epics, features, user stories, process models and acceptance criteria as the basis for technical implementation.
- Close collaboration with solution design and architecture to assess technical dependencies, interfaces, data flows and system impacts.
- Management of target process design as the basis for implementation in Infonova BSS.
- Interface management between business departments, IT, architecture, development and operational units, including facilitation of cross-functional workshops.
- Ensuring process consistency, governance, decision-making capability and business acceptance as part of the system implementation.
Kalysbek A.
Last position:
ABAP and Fiori Developer at Hugo Boss AG
- Analysis of business needs, technical specifications and development of solutions within SAP S/4HANA
- Application development and maintenance with ABAP OO, SAP Gateway Builder, CDS Views, AMDP, Fiori, BRF+, SAP Fiori, RAP
- Refactoring, design and implementation of development objects from existing SAP-AFS infrastructure to new S4/HANA Fashion system
- Test driven development using ABAP Unit Test framework and peer reviews
- Extension of Fiori apps, standard programs, exits, BAdIs and enhancements
- Adaptation and performance optimization of ABAP custom code to make it HANA optimized
- Comprehensive technical documentation of concepts and solutions
David L.
Last position:
Senior Full Stack Engineer at Fractual
- Built and maintained a full-featured React Native mobile app and companion web portal supporting multi-role access and real-time collaboration for service teams.
- Developed a robust NestJS backend using TypeScript, adhering to scalable microservices patterns to support a dynamic task management system.
- Designed and optimized PostgreSQL schemas, using advanced indexing and normalized data models to support patient tracking, tasks, and outcome reporting.
- Integrated Socket.IO to support real-time team communication, task status updates, and instant notifications across mobile and web platforms.
- Developed secure authentication workflows using AWS Cognito, including multi-role login, token refresh, and session timeout handling.
- Leveraged AWS S3 for secure document uploads (patient records, resource materials) with signed URLs and access control policies.
- Connected AWS SNS and SES to automate notifications for escalations, missed follow-ups, and appointment reminders.
- Engineered an admin analytics dashboard using React + Zustand for tracking user activity, case completion rates, and compliance metrics.
- Designed and implemented AI-driven features for task prioritization and patient risk classification using external API integrations.
- Established a robust CI/CD pipeline using GitHub Actions and Docker, achieving automated testing, linting, and environment-based deployments.
- Followed Agile ceremonies (daily standups, sprint planning, retros) while collaborating with QA, BAs, and PMs to deliver high-velocity features.
- Led data protection efforts ensuring full GDPR compliance, including encrypted storage, session control, and user-consent management.
- Delivered a fully responsive UI using DaisyUI-style components for mobile and tablet-first designs, achieving high Lighthouse scores.
- Reduced support tickets by 40% by implementing detailed audit logging and a self-service helpdesk system in the admin interface.
Christian P.
Last position:
Migration Lead for Accounting & Year-End Closing Tests at Raiffeisenverband Salzburg
- Project and test management for the accounting migration
- Coordination of resources
- Planning, creation and alignment of scenarios with functional experts and IT product owners
- Responsibility for accounting KPIs of the migration cockpit
- System environment: Jira, XRay, Confluence
Discover over 15,000 top freelancers
Statistics of experts using Data Modeling
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
2.7 years
Positions per freelancer
13
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
89%
Master's degree or higher
67%
Doctorate
7%
Certifications per freelancer
5
Most common languages
German, English, French
Speak two or more languages
97%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Austria are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Austria using Data Modeling
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Data Modeling experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (82%)
- Banking and Finance (61%)
- Professional Services (52%)
- Retail (52%)
- Government and Administration (42%)
- Transportation (39%)
- Telecommunication (39%)
- Manufacturing (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Modeling Covers
Data modeling defines how information is structured, related, stored, and governed. It turns business concepts such as customers, orders, products, and events into clear conceptual, logical, and physical models. The work supports consistent data across applications, reports, integrations, and analytical systems.
Models for Every Layer
A strong model connects business meaning with technical implementation. Experts may create entity-relationship diagrams, dimensional models, normalized relational schemas, or models for document, graph, and event-based databases. They also document ownership, identifiers, relationships, constraints, and data quality rules.
Ecosystem and Tooling
Data Modeling work spans database, analytics, and software delivery environments. Common tools and technologies include SQL, PostgreSQL, Oracle Database, SQL Server, MySQL, Snowflake, BigQuery, dbt, ERwin, SAP PowerDesigner, and cloud data services. Specialists often use version control, schema migration tools, metadata catalogs, and data lineage systems alongside these technologies.
- Conceptual, logical, and physical data models
- Dimensional models for reporting and analytics
- Schema design and migration planning
- Data dictionaries, lineage, and governance documentation
When Companies Need Specialists
Companies bring in freelance expertise when a new product needs a durable schema, reporting data is inconsistent, or a legacy database is blocking change. Specialists are also valuable during mergers, cloud migrations, platform consolidation, and the introduction of a data warehouse or lakehouse. In Austria, they may support distributed teams across manufacturing, finance, retail, healthcare, and public services.
Signs of Strong Practice
Quality work starts with questions about business processes, data ownership, access needs, and future change. Strong professionals validate models with stakeholders, test assumptions against real records, and explain trade-offs without hiding complexity.
- Clear naming and consistent definitions
- Appropriate normalization or denormalization
- Traceable links from requirements to schema decisions
- Attention to privacy, security, performance, and maintainability
Working with Freelance Experts
A focused engagement should define the systems in scope, the decisions required, and the deliverables expected. Typical outputs include model diagrams, schema specifications, transformation rules, migration guidance, and documentation for technical and business teams. Remote collaboration works well when repositories, modeling standards, and review routines are accessible; on-site workshops can help when processes are complex or stakeholders need close alignment.
Frequently asked questions
Need clarity? These are the questions we hear most often about Data Modeling.
Data Modeling is used to describe the structure and meaning of information before it is implemented in databases, warehouses, applications, or integration flows. It helps teams reduce duplication, clarify relationships, improve reporting, and make data easier to govern.
Data Modeling covers more than drawing tables or choosing column types. It links business concepts to logical relationships, rules, ownership, and technical storage decisions, while table design is usually only the implementation layer.
Data Modeling is often combined with SQL, database performance, data warehousing, ETL or ELT design, data governance, and metadata management. Experience with cloud platforms, dbt, analytics tools, or application architecture can also be valuable depending on the project.
Data Modeling work does not depend on a fixed amount of experience; it depends on system complexity, business scope, and the consequences of poor decisions. A small schema may need focused design support, while a migration or enterprise model requires experience with multiple domains, legacy constraints, and stakeholder alignment.
Data Modeling is well suited to remote collaboration when experts can access requirements, schema repositories, sample data, and review sessions. Austrian companies may still prefer on-site workshops for domain discovery, and German-language communication can matter when business stakeholders are not working primarily in English.
Data Modeling quality can be judged through clear definitions, consistent naming, justified relationships, and a visible link between requirements and design choices. Ask the specialist to explain normalization, performance, change management, data quality, security, and how the model will be tested.
Data Modeling choices should follow the workload rather than a fixed preference. A normalized relational model often suits transactional integrity, while a dimensional model can make analytical queries and business reporting easier to understand and maintain.
Data Modeling deliverables may include conceptual, logical, and physical diagrams, schema definitions, data dictionaries, transformation rules, lineage notes, and migration recommendations. The right scope depends on whether the engagement supports a new application, a warehouse, a cloud move, or governance work.
The average hourly rate of freelancers in Austria who have used Data Modeling in their recent projects is 108 €, which corresponds to a daily rate of about 865 € based on an 8-hour working day.
Of the freelancers in Austria who have used Data Modeling in their recent projects, 89% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers in Austria who have used Data Modeling in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Austria who have used Data Modeling in their recent projects are German (100%), English (97%), and French (27%).
The most common industries among freelancers in Austria who have used Data Modeling in their recent projects are Information Technology (82%), Banking and Finance (61%), and Professional Services (52%).
The most common business areas among freelancers in Austria who have used Data Modeling in their recent projects are Information Technology (97%), Business Intelligence (76%), and Project Management (73%).
Main locations of FRATCH Experts, who have recently used Data Modeling
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Vienna Graz 
Vienna Countries:
- Germany
- Austria
- Switzerland
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FRATCH CEO
