Data Modeling Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used Data Modeling
Alexander P.
Last position:
Owner & Lecturer at Own company for AI governance and data products, Vienna
- Consulting and interim management at the interface between IT operations and regulation
- Impact analysis 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
- Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
- Supervision of master’s theses and participation in the examination board
- Presentations for business 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
- MLOps and AIOps in live operations
- Own applications under own brand: shared codebase, separate delivery for each target device
- AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- 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
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
Michael O.
Last position:
Gas station attendant at Shell
- Accurate handling of customer transactions under time pressure, including cash and register processing with high care
- Reliable, consistent performance in a fast-paced, customer-focused environment; strengthened organization and multitasking skills
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
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
Elija L.
Last position:
Fujitsu Germany
- Supporting and helping shape the setup 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
- Designing and implementing data modeling, ETL processes, reporting, and data quality management
Christoph Q.
Last position:
Managing Director at Stage-IT
optimizing business processes
IT consulting
- ERP
- intralogistics process
- production planning process
- Sales (wholesale, online, B2B B2C)
- product information management
- business intelligence
implementation
- interfaces (SAP, EDI, Databases, ERP, ...)
- ETL processes
- BI Reports
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.
Shahram F.
Last position:
Senior Product Owner at Elderly Neighbour Watch
Delivered a digital, non-profit neighborhood platform to connect older adults with volunteers for practical support and social companionship. Responsible for business analysis, requirement definition, platform evaluation and delivery of a locally scalable service solution focusing on AI-driven enhancements, data-based optimization and clear market positioning. Evaluated several low-code/business platforms including Odoo and Glide Apps and assessed monday.com as a CRM-like option before selecting Glide Apps for implementation. Implemented a non-native mobile and desktop application with Glide Apps and the web presence with WordPress. Tasks
- 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 core user journeys, business processes and operational workflows for older adults, volunteers and administration
- Translating business requirements into functional requirements for profiles, task management, coordination, communication and notifications
- Guiding the implementation of the non-native mobile and desktop application in Glide Apps as well as the web presence in WordPress
- Preparing the business side for future AI-powered features such as intelligent matching and data-based optimization
- Ensuring compliance with GDPR requirements Results
- Successfully delivered digital support platform connecting older adults with volunteers
- Solid foundation for market positioning through market, target group and competitor analyses
- Delivered a functional non-native mobile and desktop application with Glide Apps and a supporting web presence with WordPress
- Established foundation for scaling and AI-based further development
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
Hossein A.
Last position:
Datawarehouse Consultant at LENZING AG
- Consulting on the enterprise data-warehouse and reporting practice at one of Austria's largest industrial groups.
- Designing and standardizing Power BI dashboards and data-visualization governance for company-wide enterprise reporting.
- Developing a WCAG-compliant, colorblind-safe visualization standard (Okabe-Ito palette) to harmonize dashboards across the organization.
Michael G.
Last position:
Scrummaster at Xenovo
Planning and monitoring sprints and holding the scheduled meetings
Analyzing and resolving issues in the development process
Error analysis, bug management and correction in individual process steps
Stakeholder management
Documentation and improvement of the development process
Tools: JIRA, Confluence
Anja F.
Last position:
IT Support DocuWare at Hanse Merkur
- Comprehensive requirements management, system analysis, data modeling, and architecture development
- Implementation of requirements in DocuWare
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
2.6 years
Positions per freelancer
13
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
88%
Master's degree or higher
69%
Doctorate
8%
Certifications per freelancer
5
Most common languages
German, English, French
Speak two or more languages
97%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Austria are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge 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 19 Sep 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 (81%)
- Banking and Finance (59%)
- Retail (50%)
- Professional Services (47%)
- Transportation (38%)
- Manufacturing (38%)
- Government and Administration (38%)
- Telecommunication (38%)
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, connected and governed across an application or data platform. It turns business concepts such as customers, products, contracts and transactions into clear entities, attributes, relationships and rules. Models can guide operational databases, reporting layers, data warehouses and lakehouse environments.
Model Types and Scope
Experts work across conceptual, logical and physical models. They translate business requirements into schemas, choose suitable keys and relationships, and document decisions for teams that build or operate the system. Depending on the workload, the model may support normalized transactions, dimensional analytics or flexible document-based storage.
Ecosystem and Tooling
Data modeling connects closely with SQL, database design and data architecture. Common work includes relational systems such as PostgreSQL, MySQL, SQL Server and Oracle, as well as cloud warehouses and modeling tools used with modern ELT pipelines.
- Entity-relationship diagrams and logical schemas
- Star and snowflake schemas for analytics
- Data catalogs, lineage and model documentation
- Schema changes, migrations and quality rules
Where Companies Use It
Organizations bring in Data Modeling specialists when information is spread across systems or reporting cannot be trusted. The work supports finance, manufacturing, retail, healthcare, logistics and public services, including Austrian teams running regulated or multilingual operations.
- Consolidating data after system changes or acquisitions
- Preparing warehouse and lakehouse structures
- Improving master and reference data
- Aligning application and reporting requirements
When Freelance Expertise Helps
Freelance professionals are useful when a project needs a clear model before implementation, or when internal teams lack capacity for analysis and documentation. They can review an existing schema, define migration steps, resolve conflicting definitions and establish conventions that make future changes safer. Remote collaboration works well when workshops, diagrams and decisions are documented clearly.
Signs of Strong Professionals
Strong specialists connect technical structure with business meaning. They ask about data ownership, access patterns, retention, quality and expected change before choosing a design. Look for precise documentation, practical trade-off analysis and experience tracing a model through ingestion, transformation, storage and consumption.
- Explains model choices in language stakeholders understand
- Identifies duplication, ambiguity and hidden dependencies
- Tests designs against real queries and workflows
- Coordinates effectively with analysts, product teams and technical specialists
Frequently asked questions
Need clarity? These are the questions we hear most often about Data Modeling.
Data Modeling is used to define the structure, relationships and rules that govern information in databases and analytical systems. It helps teams build consistent applications, reporting environments, warehouses and data platforms.
Data Modeling focuses on the detailed representation of entities, attributes and relationships within a system or domain. Data architecture covers the broader landscape, including platforms, integrations, governance and data flows, so the two disciplines usually work together.
A strong Data Modeling specialist often brings SQL, database design, data warehousing and data quality skills. Experience with ETL or ELT, cloud storage, metadata, lineage and business analysis is also valuable because models must work across the full data lifecycle.
The right level of Data Modeling experience depends on the scope and risk of the work. A schema review may need focused database knowledge, while a cross-system migration calls for someone who can lead discovery, resolve definitions, document dependencies and guide implementation.
Data Modeling is well suited to remote collaboration because requirements, diagrams, schemas and decisions can be reviewed asynchronously. On-site workshops may still help when stakeholders need to align quickly, and German or English communication should match the team's working language in Austria.
Ask a Data Modeling professional to explain how they would discover requirements, handle changing definitions and validate a proposed schema. Quality shows in clear diagrams, useful documentation, sensible trade-offs and evidence that the model supports real queries and business processes.
Data Modeling choices depend on how the data will be used. Normalized models usually support transaction integrity and controlled updates, while dimensional models make recurring analytical queries easier to understand and optimize; many platforms use both for different layers.
Before starting Data Modeling work, clarify the systems in scope, source ownership, target workloads, quality problems, access constraints and expected deliverables. It is also important to agree on notation, review points, documentation standards and how the model will be tested with stakeholders.
The average hourly rate of freelancers in Austria who have used Data Modeling in their recent projects is 110 €, which corresponds to a daily rate of about 878 € based on an 8-hour working day.
Of the freelancers in Austria who have used Data Modeling in their recent projects, 88% hold at least a Bachelor's degree, 69% hold at least a Master's degree, and 8% 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 2.6 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 (28%).
The most common industries among freelancers in Austria who have used Data Modeling in their recent projects are Information Technology (81%), Banking and Finance (59%), and Retail (50%).
The most common business areas among freelancers in Austria who have used Data Modeling in their recent projects are Information Technology (97%), Business Intelligence (75%), and Project Management (72%).
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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Philipp Thomaschewski
FRATCH CEO
