Data Quality Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used Data Quality
Elija Lechner
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
Franz Plakolm
Last position:
Business & IT Consulting at fpcon Franz Plakolm Consulting
- Business consulting finance & supply chain for Infor ERP LN Cloudsuite projects
- Lead consultant ERP LN Cloudsuite finance & cost accounting
- Implementation projects in Germany for a manufacturer of precision castings and a producer of stainless steel kegs
- Optimization project at a steel service center
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
Christian Piffer
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
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
Zeev Turchinsky
Last position:
Enterprise Architect at Coveris Group
- Built Enterprise Architecture practice covering business, application, data, and integration layers
- Created a multi-year Integration Strategy, delivering annual cost savings of several hundred thousand euros
- Defined portfolio simplification roadmap, identifying redundant systems and cost reduction opportunities
- Designed target-state enterprise architecture around D365 FSCM, enabling a best-of-breed future landscape
- Developed Master Data Management (MDM) strategy and roadmap to improve data quality and operational efficiency
- Provided enterprise-wide architectural direction ensuring alignment and eliminating redundant initiatives
- Established reusable architecture patterns adopted by delivery teams
- Facilitated cross-functional architecture forums to align product and delivery teams
- Translated enterprise architecture guidance into practical delivery decisions
- Drove practical adoption of architecture guidance across initiatives rather than acting as a gatekeeper
- Identified redundant systems enabling substantial cost reduction potential
- Enabled cost transparency in integration landscape
- Enabled fact-based investment prioritization decisions
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
Georg Oberdammer
Last position:
CIO / CDO at TroGroup
- Design and execution of the transformation journey of IT & digitization and enablement of the further development of the group
- Development of the global IT & digitization strategy (motto: “ahead of the wave”) based on group standards and USP-driven digital solutions
- Definition of the digital strategy as part of the company’s 2030 strategy with a focus on the value disciplines “operational excellence,” “customer intimacy,” “product leadership”
- Design and implementation of a business-focused, global IT organization, including existing shadow IT parts
- Digital product development with a focus on IoT, data science, AI, software development (DevOps), cloud architecture, and Azure cloud services
- Initiation and ramp-up of the CoE for artificial intelligence and data analytics, including several agentic AI projects
- Definition and global rollout of the enterprise, infrastructure, and application architecture
- Cloud transformation including setup and execution of the global S/4HANA rollout, introducing new capabilities and modules
- Global business process standardization, automation, and end-to-end digitization within and across divisions
- IT/OT integration (shop floor, CAx integration)
- P&L responsibility and further development of digital marketing & sales channels, SEO/SEA, online product configuration, PIM/DAM, eBusiness/eCommerce systems
- Implementation of a global intranet portal and several digital solutions like Workday, Concur, Softconcis, Tacto, xFlow
- Further development of Salesforce beyond CRM into a sales backbone
- Support of M&A and divestiture
- Cyber security excellence, data protection, and NIS2 preparation
- Ramp-up of nearshore and offshore locations (Poland, India)
- Evaluation and implementation of business-value–driven IT innovation like RPA, business process AI, and low-code
- IT budgeting and controlling, KPI reporting, and negotiation of large IT contracts
- Global recruiting, people retention, and development
- Stakeholder management with executive management and heads of divisions
Alexander Touchyn
Last position:
Functional Analyst & Administrator at Netz Niederösterreich GmbH
- Introduced automated testing for Fabasoft components and trained testers to create automated test cases.
- Installed AppTest on the server and clients.
- Requested firewall exceptions to allow communication between the AppTest server and clients.
- Conducted training sessions for testers.
- Automated test workflows.
- Created reports and sent emails.
- Enabled faster reviews of new releases, reduced manual testing effort, and improved documentation of test results and discovered defects.
Johanna Urbanz
Last position:
Manager at Deloitte Consulting GmbH
- Technology consulting and project management focused on SAP ICMR and SAP Group Reporting
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 Quality
Aggregated from the professional profiles of matched freelancers.
Experience
25 years
Position duration
3 years
Positions per freelancer
15
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Government and Administration
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
75%
Master's degree or higher
50%
Doctorate
25%
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
100%
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 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 Quality
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
Data that can be trusted
Data quality work keeps records complete, consistent, accurate, and usable. It covers checks for duplicates, missing values, invalid formats, broken reference data, and drift in source systems. Strong specialists help teams trust dashboards, models, and operational reports.
Common deliverables
- Data profiling and quality rule design
- Cleansing and standardisation logic
- Validation in ETL or ELT pipelines
- Monitoring, alerts, and exception handling
- Documentation for business and technical owners
Tooling and ecosystem
Experts often work with SQL, Python, dbt, Spark, Great Expectations, Talend, Informatica, and warehouse tools such as Snowflake, BigQuery, or Azure Synapse. They also understand source systems, lineage, metadata, and how quality rules affect analytics, BI, and data products.
When companies bring in specialists
Teams usually need freelance help when data issues block reporting, migrations, master data work, or governance programmes. In Austria, this often comes up in finance, insurance, industrial groups, retail, and public-sector reporting, where local teams may need remote support or on-site work in German and English.
What strong professionals do
- Trace defects back to the source, not just the symptom
- Separate business rules from technical checks
- Design controls that scale with new feeds and schemas
- Explain impact clearly to analysts and stakeholders
Good fit and handover
A strong specialist leaves reusable rules, clear ownership, and measurable checks that keep working after the project ends. They can align with data engineering, governance, and analytics teams without creating brittle fixes. For Austrian companies, that usually means clean collaboration, clear documentation, and practical support across locations.
Frequently asked questions
Before you brief your next project: the most common questions about Data Quality.
A strong Data Quality specialist finds and fixes issues that make data hard to trust. That can include profiling datasets, defining validation rules, setting up monitoring, and repairing cleansing logic in pipelines or warehouse layers.
No. Data Quality focuses on whether data is accurate, complete, consistent, and fit for use, while data cleansing is one way to improve it and governance is the wider operating model around ownership and control. Many projects need all three, but the work is not identical.
A good Data Quality freelancer often works with SQL, Python, dbt, Great Expectations, Talend, Informatica, or Spark, depending on the stack. They should also understand profiling, rule design, lineage, and how to monitor data in production.
It depends on the scope, but Data Quality work benefits from someone who has handled both source-system issues and downstream reporting impact. For a focused rule set or one pipeline, a practical specialist may be enough; for an enterprise programme, you want someone who has shaped standards and operating processes.
Data Quality defines what good data looks like and how to test it, while data observability watches the data environment for failures, anomalies, and drift. They overlap in monitoring, but observability is broader and usually more infrastructure-focused.
Yes, most Data Quality work can be done remotely if the specialist can access source samples, data dictionaries, and stakeholders. On-site time helps when rules depend on local processes, sensitive domains, or workshops with business teams in Austria.
Look for someone who can explain why a rule matters, not just how to code it. A strong Data Quality expert ties checks to business impact, documents assumptions, and avoids hard-coded fixes that break when schemas or feeds change.
The best Data Quality professionals usually bring data engineering, SQL, analytics, governance, and sometimes MDM knowledge. If the work touches pipelines or warehouses, experience with orchestration, metadata, and testing frameworks is a major plus.
The average hourly rate of freelancers in Austria who have used Data Quality in their recent projects is 125 €, which corresponds to a daily rate of about 1,001 € based on an 8-hour working day.
Of the freelancers in Austria who have used Data Quality in their recent projects, 75% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Austria who have used Data Quality in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Austria who have used Data Quality in their recent projects are German (100%), English (100%), and French (36%).
The most common industries among freelancers in Austria who have used Data Quality in their recent projects are Information Technology (91%), Banking and Finance (73%), and Government and Administration (64%).
The most common business areas among freelancers in Austria who have used Data Quality in their recent projects are Information Technology (100%), Business Intelligence (91%), and Project Management (82%).
Main locations of FRATCH Experts, who have recently used Data Quality
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
