Data Anonymization Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used Data Anonymization
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
Fabio G.
Last position:
IT Architect, Requirements Analyst and Consultant at CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
Frank W.
Last position:
Software Development at REI and EMI
- Code review, bug fixing, and new development of program code in PL/SQL and Oracle Forms
- Migration of the database version to Oracle 12/19 and migration of the Oracle Forms environment from client-server to web (6i → 12c)
- Fixing blocking sessions and implementing new workflow requirements
- Use of PL/SQL packages, procedures, functions, database triggers, batch files, and Java applications
- Revision of screen masks based on Oracle Forms and client-side PL/SQL code
- Business handling of issuing and processing vouchers (REI = Reimbursement; EMI = Emission), including billing with acceptance partners
- Agile development based on SCRUM with monthly sprints and weekly coordination meetings
Slavi S.
Last position:
Head of AI Enablement at REEVO Tech
- Architected enterprise AI strategy delivering 25% cost reduction through multi-LLM platform integration (Claude, OpenAI, Gemini) with intelligent routing and fallback optimization
- Drove operational excellence achieving 85% reduction in manual documentation and 3x faster campaign production through AI workflow automation and agent deployment across Slack and Microsoft Teams
- Established AI governance framework from ground up, implementing EU AI Act compliance, data redaction protocols, and safety filters aligned with DPIA standards
- Scaled AI adoption through structured onboarding programs, developing departmental workflows with secure access controls and comprehensive audit trails
- Implemented advanced RAG systems using Elasticsearch, Vertex AI, and Azure AI Foundry to improve knowledge access and output reliability
- Managed delivery through OKR framework coordinating cross-functional squads across 6-week project cycles to ensure strategic alignment and measurable results
Vladislav F.
Last position:
Senior Test Automation Engineer / Test Manager at Stadt Wien – WUKSEA
- Creating test scenarios, manual test cases and test data using boundary value analysis and equivalence classes
- Executing functional and non-functional tests (manually with Postman and web application, automated with WebDriver, JUnit and NUnit)
- Setting up, automating and maintaining the test automation framework with Java, Spring Boot, Selenium and Cucumber in IntelliJ (system, regression, smoke, UI and integration tests for web front-end and SOAP API backend interfaces)
- Automating backend NUnit test cases in Visual Studio
- Test management: developing and implementing test strategy and test plans, controlling tests, quality ownership and prioritizing risk-based tests, as well as maintaining documentation in Confluence
- Detailed analysis and quality assurance of requirements
- Creating and maintaining Jenkins pipelines, ensuring quality in build & deployment
- Close collaboration with business analysts, developers, testers and test management
- Identifying, creating and tracking defects/bugs, with thorough test documentation
- Reporting test results and defect reports
- Monitoring test processes and continuous improvements
- Reviewing test data and test results in PostgreSQL database via pgAdmin
- Supporting effort estimation and backlog prioritization
- Analyzing and debugging development code System environment: Java, JUnit, Spring Boot, Selenium, Cucumber, JavaScript, Jenkins, C#, NUnit, Postman, Bitbucket, Confluence, Jira, xRay, pgAdmin, PostgreSQL, SonarQube, Maven, IntelliJ, Visual Studio, CI/CD, SOAP API interfaces
Thomas U.
Last position:
Consultant at Henrich Baustoffe
- Developing the required views and KPIs in collaboration with the different departments and management
- Preparing and modeling the various data sources
- Implementing the company-wide and cross-department dashboard in Microsoft Power BI
Roland M.
Last position:
Freelance Project Manager at Federal Ministry for European and International Affairs
- Managed the rollout subproject for the launch of the electronic file system at diplomatic missions worldwide
- Led a project to introduce EU-certified encryption for IP communication between headquarters and missions
- Led a project to implement a modern IAM (Identity and Access Management) solution
Discover over 15,000 top freelancers
Statistics of experts using Data Anonymization
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
2.5 years
Positions per freelancer
8
Top business areas
Information Technology, Product Development, Project Management
Top industries
Banking and Finance, Information Technology, Education
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
86%
Doctorate
14%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100%
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 Anonymization
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 Anonymization experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Banking and Finance (100%)
- Information Technology (100%)
- Education (29%)
- Food and Beverage (29%)
- Healthcare (29%)
- Transportation (29%)
- Professional Services (29%)
- Government and Administration (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Protect data use
Data anonymization removes or transforms personal data so people cannot be identified from the remaining set. It is used when teams need to share records, run analytics, or move data into non-production systems without exposing sensitive details. Strong work keeps the data useful while reducing risk.
Common methods
- Masking direct identifiers such as names, email addresses, and account numbers
- Generalizing values like dates, locations, or age bands
- Replacing identifiers with tokens or random values
- Testing whether linked fields still allow re-identification
These methods are often discussed together with data masking and de-identification. In practice, the right approach depends on the data model, the purpose of the dataset, and how much utility must remain after the transformation.
Where it fits
Companies bring in specialists for analytics sandboxes, customer exports, staging systems, secure partner sharing, and regulated reporting. In Austria, this often matters for organizations handling health, finance, insurance, retail, and public-sector records. The work usually spans both technical controls and clear rules for what must stay hidden.
Tooling and process
A strong professional works across SQL pipelines, ETL jobs, warehouse logic, scripting, and governance checks. They know how to automate transformations, document rules, and keep source and masked datasets consistent.
- Map sensitive fields and define protection rules
- Build repeatable masking or tokenization steps
- Validate that outputs still support the intended use
- Coordinate with security, data, and compliance teams
What good specialists deliver
Good anonymization work is not only about hiding obvious names. It also covers quasi-identifiers, joins across tables, and patterns that can reveal a person when combined. Strong experts think about edge cases, downstream users, and whether a dataset can still be traced back indirectly.
When to hire freelancers
Freelance support is useful when a company needs short-term help for a new data release, a migration, a privacy review, or a backlog of datasets waiting for treatment. It also helps when internal teams know the systems but need a specialist to design the right anonymization approach. Remote work is common, but on-site sessions can help when data access is tightly controlled.
Frequently asked questions
Before you brief your next project: the most common questions about Data Anonymization.
Data anonymization is used to make personal data safer to work with while keeping it useful for testing, analytics, research, and partner sharing. It helps teams move records into lower-risk environments without exposing direct identifiers. Good work also reduces the chance that people can be singled out from combinations of fields.
Data anonymization aims to break the link to an identifiable person, while data masking often hides values for a specific use case without changing the underlying sensitivity profile as deeply. Pseudonymization replaces identifiers with substitutes, but the link may still exist under controlled conditions. The right choice depends on the purpose of the dataset and the risk you need to reduce.
A strong Data Anonymization specialist usually understands SQL, data warehousing, ETL/ELT pipelines, scripting, and privacy-aware data design. Familiarity with access control, data classification, and quality checks also matters. They should be able to work with security and data teams without slowing delivery.
Data Anonymization projects vary a lot in complexity. Simple masking of a few fields is not the same as protecting linked customer, transaction, and event data across multiple systems. For anything beyond basic replacement rules, you want someone who has handled real datasets, not only theory.
Yes, Data Anonymization work is often done remotely because the core tasks are design, review, and transformation logic. On-site sessions can still help when sensitive source data is only available in a controlled environment or when stakeholders need to agree on field-level rules. For many Austrian teams, a mixed setup works well.
A strong data anonymization expert explains the method, the trade-offs, and the limits of the result in plain language. Look for careful handling of indirect identifiers, repeatable rules, and checks that the masked data still supports the intended use. If they only talk about hiding names, they may be missing the harder parts.
A good de-identification or anonymization engagement should produce clear field rules, transformation logic, validation notes, and documentation for future runs. Depending on the stack, that may also include SQL scripts, pipeline changes, or a masking specification for the data team. The output should be practical enough to reuse.
Yes, data masking and anonymization work often sits close to privacy, security, and internal policy requirements. The specialist does not need to be your legal advisor, but they should understand how technical choices affect risk and data handling. That is especially important when multiple teams or external parties will use the dataset.
The average hourly rate of freelancers in Austria who have used Data Anonymization in their recent projects is 101 €, which corresponds to a daily rate of about 804 € based on an 8-hour working day.
Of the freelancers in Austria who have used Data Anonymization in their recent projects, 100% hold at least a Bachelor's degree, 86% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Austria who have used Data Anonymization in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Austria who have used Data Anonymization in their recent projects are German (100%), English (100%), and Spanish (29%).
The most common industries among freelancers in Austria who have used Data Anonymization in their recent projects are Banking and Finance (100%), Information Technology (100%), and Education (29%).
The most common business areas among freelancers in Austria who have used Data Anonymization in their recent projects are Information Technology (100%), Product Development (86%), and Project Management (86%).
Main locations of FRATCH Experts, who have recently used Data Anonymization
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:
- Germany
- Austria
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Philipp Thomaschewski
FRATCH CEO
