
Data Modeling Experts in Vienna
, matched in minutes from over 15,000 CVsHire experts who design conceptual, logical and physical data models, structure relational and analytical databases, and align schemas with business processes. FRATCH finds the right vetted, available freelancer through fast, precise AI matching.
Meet FRATCH Experts in Vienna, 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).
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
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
Lorenz G.
Last position:
Business Analyst at Wirtschaftsagentur Wien
- Conducting a feasibility study on introducing an in-house DWH as a central data source
- Conducting workshops for current state analysis (processes, reports, KPIs) together with the clients
- Gathering and detailing business requirements including a target concept for an in-house DWH
- Coordinating and clarifying data deliveries and interfaces in meetings with stakeholders and data providers
- Developing initial data models as a basis for data quality and later implementation
- Drafting solution variants including architecture and operation options and decision basis
- Creating the business case including effort estimates, cost-benefit analysis, and decision report
Christian N.
Last position:
Digital Consultant at Global Stations
- Conducted due diligence for the acquisition of digital marketing agencies in Manila, evaluating revenue potential, scalability, and operational efficiency.
- Advised international companies on go-to-market strategies across Asia, with a strong focus on China and Southeast Asia’s online commerce ecosystems.
- Developed tailored digitalization and automation processes within CRM and marketing operations to drive efficiency and data transparency.
- Achieved successful market positioning and digital process optimization in collaboration with various SaaS and automation agencies, enabling scalable regional growth.
Gerald G.
Last position:
Data Design Authority at Department of Government Enablement
- Responsible for realigning the data architecture of the Abu Dhabi government to achieve a fully AI-driven public administration
- Definition of modeling standards
- Creation of a conceptual and logical model for the entire Abu Dhabi government administration
- Definition of data quality and data security standards
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
Johanna U.
Last position:
Manager at Deloitte Consulting GmbH
- Technology consulting and project management focused on SAP ICMR and SAP Group Reporting
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 (in-/ex-collection)
- Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI
Discover over 15,000 top freelancers
Statistics of experts using Data Modeling
Aggregated from the professional profiles of matched freelancers.
Experience
19 years

Position duration
2 years

Positions per freelancer
13

Top business areas
Information Technology, Business Intelligence, Product Development

Top industries
Information Technology, Banking and Finance, Professional Services

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
94%
Master's degree or higher
83%
Doctorate
6%

Certifications per freelancer
5

Most common languages
German, English, French

Speak two or more languages
95%
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 Vienna 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 Vienna 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 (91%)
- Banking and Finance (68%)
- Professional Services (45%)
- Government and Administration (41%)
- Retail (36%)
- Telecommunication (36%)
- Energy (32%)
- Transportation (32%)
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 and governed across an application or organization. It turns business concepts into conceptual, logical and physical models that guide database design, reporting and integration. The work can support relational, document, graph or analytical data stores.
Models and Deliverables
A strong model makes data easier to understand, query and maintain. Typical deliverables include:
- Entity-relationship diagrams and domain models
- Normalized relational schemas and physical table designs
- Dimensional models for analytics and reporting
- Data dictionaries, naming standards and relationship rules
Ecosystem and Skills
Data Modeling specialists work with SQL databases, cloud warehouses, lakehouses and NoSQL systems. Their toolkit may include SQL, dbdiagram tools, ERwin, SAP PowerDesigner, Lucidchart, dbt and schema migration workflows. They also understand keys, constraints, normalization, denormalization, partitioning and lineage.
When Companies Need Support
Companies often bring in freelance expertise during a platform migration, reporting redesign or merger of inconsistent data sources. In Vienna, specialists may support financial services, public organizations, manufacturing, retail and technology teams while coordinating remotely or on site. German and English communication can both matter when models cross departments.
Practical Project Work
Data Modeling becomes especially valuable when teams face duplicated definitions, slow reporting or conflicting source systems. Freelance professionals can assess the current structure, map source-to-target fields and create a model that fits delivery goals without blocking existing operations. They can also document decisions for future teams.
What Strong Experts Show
The best professionals connect technical structure with business meaning. They ask precise questions about ownership, data quality, access and change, then test models against real queries and workflows. Look for clear diagrams, traceable assumptions, thoughtful trade-offs and experience collaborating with product, analytics, security and application teams.
Frequently asked questions
Before you brief your next project: the most common questions about Data Modeling.
Data Modeling is used to define entities, attributes, relationships and rules before data is stored or exchanged. It supports application databases, analytics warehouses, reporting layers, master data programs and integration work.
Data Modeling describes information and its relationships at conceptual, logical and physical levels. Database design focuses more narrowly on implementing that model in a particular database, including indexes, constraints and storage choices.
A capable Data Modeling specialist often brings SQL, data warehousing, ETL or ELT, data governance and schema migration knowledge. Familiarity with cloud storage, dbt, BI tools and domain-driven analysis is also useful, depending on the project.
The right level depends on scope and risk rather than a fixed amount of experience. A contained schema review may need focused expertise, while an enterprise model requires someone who can reconcile domains, legacy systems, governance rules and competing business definitions.
Yes. Data Modeling is well suited to remote collaboration because diagrams, specifications and review sessions can be shared online. On-site workshops in Vienna may still help when specialists must resolve terminology, ownership or process questions with several departments.
Data Modeling choices depend on how the data will be used. A normalized model can protect consistency in operational systems, while dimensional modeling often makes recurring analytical queries and business reporting easier to understand and maintain.
Ask the Data Modeling professional to explain the reasoning behind a sample model, not only to show a diagram. Check whether assumptions, ownership, keys, quality rules, historical changes and likely queries are documented clearly and linked to business needs.
A Data Modeling freelancer should clarify the business domains, source systems, target platforms, reporting needs and decision owners. They should also confirm the expected level of detail, documentation standards, access constraints and how model changes will be reviewed.
The average hourly rate of freelancers in Vienna, Austria who have used Data Modeling in their recent projects is 107 €, which corresponds to a daily rate of about 859 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Data Modeling in their recent projects, 94% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Vienna, Austria who have used Data Modeling in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Vienna, Austria who have used Data Modeling in their recent projects are German (100%), English (95%), and French (36%).
The most common industries among freelancers in Vienna, Austria who have used Data Modeling in their recent projects are Information Technology (91%), Banking and Finance (68%), and Professional Services (45%).
The most common business areas among freelancers in Vienna, Austria who have used Data Modeling in their recent projects are Information Technology (100%), Business Intelligence (77%), and Product Development (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.
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