Data Modeling Experts in Vienna
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Meet FRATCH Experts in Vienna, who have recently used Data Modeling
John Ampia-Addison
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 Maxones
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 Okang
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 Langer
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
Nikola Neloski
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
Shahram Fallahdoust
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 Gonschor
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 Graiff
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 Neuwirth
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 Gastgeb
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
Johanna Urbanz
Last position:
Manager at Deloitte Consulting GmbH
- Technology consulting and project management focused on SAP ICMR and SAP Group Reporting
Octavian Golea
Last position:
Oracle DWH Analyst at Infomotion Gmbh
Oracle PL/SQL, Oracle SQL, ITIL
Michael Polivanov
Last position:
Strategy Consultant & Program Architect at Hypo Tirol Bank AG
- Portfolio Analysis & Migration Roadmap: Conducted structured analysis and risk classification of the HCL Notes infrastructure, created a prioritized migration portfolio with effort estimates as a key decision basis for management.
- Target Architecture & Modernization Concept: Developed the architecture strategy for retiring legacy applications, defined requirements for a centralized business process engine to reduce OPEX and licensing costs in the long term.
- Program Governance & Setup: Established roadmap and backlog structures as well as central project documentation (MS SharePoint), set up stakeholder management for the Notes decommissioning program.
Stéphane Loyet
Last position:
Expert BI Consultant at Freelance
- Project management
- Design, optimization, query, reporting, and data modeling
- Liaising with clients / training
- Design, optimization, and development of query, reporting, and data architecture
- SAP SAC
- Story
- Data Action
- Planning
- SAP Datasphere
- SAP BTP
- MS Power BI
- DAX
- Power Query
- IBM Cognos Reporting
- Framework Manager
Qamile Bufaj
Last position:
SAP BI / SAP Analytics Cloud at ARDDEX Group
- Gathering requirements and conceptually designing reporting and planning requirements in controlling (CO) and modeling SAP Analytics Cloud data models for group reporting.
- Designing and implementing reports and dashboards to support planning, forecasting and control processes.
Discover over 15,000 top freelancers
Statistics of experts using Data Modeling
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2 years
Positions per freelancer
14
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
92%
Master's degree or higher
77%
Doctorate
8%
Certifications per freelancer
5
Most common languages
German, English, Spanish
Speak two or more languages
94%
Based on our profile pool as of 30 Aug 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Data modeling turns business rules into a structure that systems can store and use. It defines entities, attributes, keys, and relationships so data stays consistent across applications, warehouses, and reporting layers. Strong models make change easier and reduce confusion later.
Common work
- Conceptual, logical, and physical data models
- Normalized database schemas and denormalized reporting structures
- Data dictionaries, naming rules, and business glossaries
- Models for CRM, ERP, finance, product, and analytics systems
Tools and formats
Professionals working with Data Modeling often use ER diagrams, UML-style diagrams, SQL, and catalog tools to document structure and rules. They work with relational databases, cloud warehouses, and sometimes NoSQL systems when the access pattern needs it. The method matters more than the tool, but the tool must fit the target platform.
When companies bring in help
Companies usually need freelance support when a data landscape is changing, duplicated tables are causing errors, or reporting no longer matches the business view. In Vienna, this often comes up in enterprise IT, finance, logistics, and public-sector projects where many teams share the same data. Clear modeling helps separate local system details from stable business meaning.
What strong specialists do
A good specialist asks about the business process before drawing tables. They can balance normalization, performance, governance, and future change without overcomplicating the design.
- Translate requirements into stable entities and relationships
- Spot missing keys, weak definitions, and duplicate concepts
- Align schema design with analytics and integration needs
- Document decisions so teams can maintain the model later
Signs of quality
Strong work is easy to read, easy to extend, and easy to explain to both technical and non-technical teams. The best experts make trade-offs visible, such as when a warehouse model should differ from an operational one. They also understand that data modeling is part design discipline and part communication, not just drawing boxes and lines.
Frequently asked questions
Before you brief your next project: the most common questions about Data Modeling.
Data Modeling is used to define how data is organized, named, linked, and governed across systems. It supports transactional databases, analytics layers, integration flows, and reporting structures. Good models keep business rules visible and reduce downstream rework.
Data Modeling is broader than database design. Database design turns the model into a physical structure for a specific engine, while the model itself captures business meaning, rules, and relationships. A strong specialist can do both, but should keep the two steps separate.
Data Modeling and data modelling mean the same thing. The spelling often depends on region or company style, but searchers usually want the same skill: structuring data for systems, reporting, and governance. You may also see it described as data model design.
A strong Data Modeling professional usually knows SQL, relational database concepts, and data warehouse design. Business analysis skills matter too, because the model has to reflect real processes, not just technical preferences. Experience with documentation and stakeholder workshops is a plus.
Data Modeling help is useful when teams merge systems, rebuild reporting, or struggle with inconsistent definitions. It is also valuable before a new platform goes live, because early structure decisions are hard to fix later. Freelance support works well when you need focused expertise without a long hiring cycle.
Yes, Data Modeling is often done remotely because the work depends on workshops, documents, and shared diagrams. For Vienna teams, a mix of remote sessions and a few on-site meetings can help when many departments need to agree on business terms. The key is clear communication, not physical presence.
A strong Data Modeling freelancer explains why a structure fits the business, not just how it looks on paper. Look for clear questions about source systems, ownership, definitions, and future change. Good work should be understandable to analysts, engineers, and business stakeholders alike.
Data Modeling deliverables often include entity-relationship diagrams, logical and physical models, naming standards, and a data dictionary. In larger projects, you may also get mapping rules, governance notes, and guidance for warehouse or integration design. The exact output should match the system you are building.
The average hourly rate of freelancers in Vienna, Austria who have used Data Modeling in their recent projects is 108 €, which corresponds to a daily rate of about 866 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Data Modeling in their recent projects, 92% hold at least a Bachelor's degree, 77% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Vienna, Austria who have used Data Modeling in their recent projects have 21 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 (94%), and Spanish (29%).
The most common industries among freelancers in Vienna, Austria who have used Data Modeling in their recent projects are Information Technology (94%), Banking and Finance (71%), and Professional Services (59%).
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 (82%), and Project Management (76%).
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.
Countries:
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