Appium Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Appium
René Adam
Last position:
Test (Automation) Engineer at BWI GmbH
Introduced a unified test strategy to establish quality gates and define test activities for the 'ICaruS' subproject of the Bundeswehr
Built and implemented manual and automated tests, set up the test infrastructure, and introduced test management tools
Established KPIs and dashboards to present and distribute test metrics to project team members and stakeholders
Technologies used: Playwright, TypeScript, REST, PEGA Systems, Jira, HP ALM, GitLab Runner, Kubernetes, Git, VS Code, Angular, Scrum
Anastasiia Komarenko
Last position:
Senior Test Automation Engineer at E.ON
- Reviewing functional and technical requirements from a testing perspective
- Creating test cases and automated tests to validate requirements
- Performing manual and automated functional, end-to-end, and regression tests
- Documenting test results and tracking defects
- Using models like GPT-4, BERT, and Hugging Face Transformers for automated test case generation, analysis of test results, and improving test coverage, including bias checks and security reviews
- Techs: MS Office, Jira, Zephyr, Confluence, Tosca, stakeholder communication, Agile, Kanban, Scrum, OpenAI API, Hugging Face, PyTorch, LangChain.
Nicole Fotso
Last position:
SAP FI Consultant & Test at DZB Bank
- Analysis and optimization of business processes in financial accounting
- Customizing in SAP FI (e.g. company codes, chart of accounts, payments)
- Integration with other modules such as CO, MM, SD
- Consulting on legal requirements (e.g. GoBD, UStG)
- Support with month-end and year-end closing
- Creation of test plans (system test, integration test, UAT)
- Definition of test cases (e.g. postings, payment runs, dunning runs)
- Selection of suitable test data and scenarios
- Manual testing of posting processes (e.g. customer invoice, payment run)
- Validation of automatic postings (e.g. for MM credit memo)
- Checking interfaces (e.g. to subsystems or non-SAP solutions)
- Documentation of defects in the test tool (e.g. Jira, ALM)
- Analysis and feedback to developers or the customizing team
- Retest after bug fixes
- E2E tests with SAP Solution Manager (SOLMAN)
- Use of tools such as SAP CBTA or Micro Focus UFT
Martin Moser
Last position:
Test automation for trading software at Martin Moser IT Consulting GmbH
- Set up GUI test framework for testers and developers to easily create GUI tests
- Implemented automated GUI tests with QF-Test for stock trading software and PDF file comparisons
- Created comparison runs between different versions
Used technologies: QF-Test, Java, Jython
Yannide Djache Ngangoum
Last position:
Development Engineer Test Automation at Vorwerk Elektrowerke GmbH & Co. KG
- Project: Thermomix Online Mock
- Manual execution of functional tests
- Implementation of automated end-to-end tests
- Execution of regression tests and analysis of results
- Further development of the QA website on the server using Express.js, Handlebars, and Node.js
- Further development of the test environment
- Technologies: Agile software development Scrum, Robot Framework, Python, JavaScript, Git (GitLab), VS Code, Jira, Confluence, Express.js, Handlebars, Phoenix/Elixir
Michael Sartori
Last position:
IT & Test Consultant at Testing Experts GmbH
AI Readiness - Part 3: Creating an E-Book on the Use of AI in Software Testing
- Designing and creating an e-book on the meaningful and safe use of AI in software testing from the perspective of an experienced test expert.
- Using generative AI (ChatGPT, Perplexity Pro) as a sparring partner for structuring, wording suggestions and variant creation, with final technical review and approval of all content based on my own expertise.
- Developing practical opportunities and risks of AI in testing, with a special focus on collaboration between testers and AI instead of "tester vs. AI".
- Title: "11 Strong Reasons: Dream Team Instead of Rivals - Testers and AI Are Unbeatable Together"
- Subtitle: "How humans and machines form the perfect team in software testing—and why pure AI testing is risky."
- Planned use of the e-book as a basis for workshops, client presentations, or internal training.
- Technology: Generative AI, ChatGPT, Perplexity Pro, Microsoft Word, Adobe Acrobat, many years of professional testing experience, common sense.
Holger Guschigk
Last position:
Test Automation Engineer, Quality Assurance Consultant at T-Systems
- Poliks – State Police System for information, communication, and case management and other state variants (ViVa, Bravo, customs)
- Developed a test framework for test automation to replace an existing proprietary test client for new developments, focusing on easy maintenance and simple extensibility for new technologies
- Designed the architecture
- Implemented the architecture
- Created a proof of concept by migrating existing test cases into the new test framework
- Platform: C#, .NET, Jira, XRay, Confluence, Playwright, Selenium, UI Automation, Appium, HTML, Git, VMWare, Windows 11, Linux
Vitor Rodrigues
Last position:
Test Coordinator Automation at Pro4all
- Designed and built from scratch the automation framework using Playwright, Typescript, JavaScript, Gherkin, Cucumber, BDD, Maven, IntelliJ IDEA
- Defined, developed and maintained test plans, test scripts, reports and other QA documentation in Confluence
- Created and maintained test data with SQL Server Management Studio, Toad and Faker.js
- Performed web services and API testing using Swagger Open API, SoapUI, JSON, HTML and XML
- Executed functional, smoke, regression, black box, GUI, cross-browser, UAT and E2E testing using CrossBrowserTesting and Safari Web Inspector
- Integrated and maintained automated scripts within sprints following Kanban, CI/CD, GitHub, Docker, Azure Pipelines, Agile, Scrum, Kafka and Kibana
- Raised and managed defects in Azure DevOps
- Conducted mobile testing with Robot Framework and Appium
Ayhan Gezer
Last position:
Senior QA Engineer / Test Automation Engineer / SDET at Rewe digital
Consulting, designing, and implementing the software testing lifecycle for multiple Android apps and backends Introducing test automation with Appium, SpringBootTest, RestAssured Setting up and managing emulators Developing an E2E library, an integration library, a Testcontainers library, and other libraries Developing, implementing, and advising on CI strategies Building the test environment with Testcontainers and virtualization Developing and implementing test cases for integration tests and end-to-end tests Establishing a maintainable test architecture with low entry barriers to simplify the creation of automated tests Some tools and technologies used: JUnit, RestAssured, Testcontainers, Kubedock, Appium, Android emulator, Jira Xray, Mockito, WireMock, Spring Framework, Kotlin
Martin Grambauer
Last position:
SAP Test Data Management Consultant at Siemens AG
End-to-end quality assurance in a global S/4HANA transformation program.
Automated test data setup, evaluation of search and generation solutions, and PoC execution (K2View, EPI-USE).
Coordination between Siemens teams and external partners, and structured knowledge transfer to internal stakeholders.
Created a basis for PoC decisions and sped up tool selection.
Standardized test data provisioning and noticeably reduced lead times.
Established governance for test data processes (policies, roles, KPIs).
Sustainable know-how transfer: empowered internal teams to operate solutions on their own.
Methods & technologies: S/4HANA, SAP, K2View, EPI-USE, test data management, data masking, data provisioning, test strategy, test management, coaching & enablement, Azure DevOps, Microsoft Office 365, Gemini.
Mario Steiner
Last position:
Expert in Web Analytics, Tag and Consent Management at Deutsche Bahn AG
- Conducting and analyzing web analytics
- Creating and editing tags and scripts in tag management as well as banners and other client-side web elements in consent management
- Technologies used in development: Tealium, JavaScript, IntelliJ, Git, Android Studio, Selenium, Appium, Adobe Analytics, Power Automate, Power App
Jan Zinserling
Last position:
Test Automation Engineer at Dentsply Sirona
- Automation of existing manual tests from XRay with Cucumber/Gherkin in Cypress.io
- Testing the company application on different medical devices
- Tech Stack: JavaScript, Cypress.io, Confluence, IntelliJ, XRay, JIRA, Cucumber/Gherkin, Git
Felix Heller
Last position:
App Engineer at Merck KGaA
- Further development of various apps in the context of a Digital Trust Framework / IIoT
- Programming language: Dart
- Technologies & frameworks: Flutter, Stacked, CI/CD
Kwesi Dadzie Essel
Last position:
Test Analyst at Deutsche Bahn (via PAR GmbH)
- Analyze business processes to evaluate test automation
- Develop and execute automated tests (Web & Mobile)
- Perform manual tests to cover non-automated areas
- Handle bug fixing, reporting, and documentation of all test results
- Coordinate with teams and product owners for test optimization and requirement analysis
- Conduct component tests, system tests, and migration tests
- Create monitoring reports and error analyses according to process guidelines
- Participate in the team for Deutsche Bahn’s new DB Navigator app during the software reorientation; responsible for new workflows, modern design, and replacing the old systems
- Tools: Appium, Selenium, Cucumber, Android Studio, IntelliJ, GitLab, Instana, Java, iOS, CSS
Anton Kolchunov
Last position:
Senior iOS Engineer at HelloFresh SE
- Spearheaded development of the Experimentation Library, starting from writing RFC towards integration and support of the feature teams
- Spiked the possibility of using Kotlin Multiplatform for Experimentation Library to share implementation with Android
- Designed, developed, and iteratively integrated a new Data Layer, which unblocked and improved the development speed of the feature teams
- Organized workshop about Swift Concurrency to improve knowledge amongst iOS engineers and became a go-to person for related questions
- Completed overhaul of the existing CI configuration to make it more maintainable by big team
- Incorporated Bash script linter to harden CI and Utils scripts for iOS project
- Spiked Tuist as an option to integrate modularized features with 500+
- Maintained tooling to identify UI Tests ownership with custom Swift CLI and native SwiftLint rule
- Provided support to other teams on uncommon architecture questions
- Actively participated in shaping development culture within the team and across the whole iOS chapter
- Used technologies: Swift, SwiftUI, Swift Concurrency, Swift Package Manager, Bash, Git, GitHub Actions, Bitrise
Discover over 15,000 top freelancers
Statistics of experts using Appium
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
1.4 years
Positions per freelancer
15
Top business areas
Information Technology, Quality Assurance, Product Development
Top industries
Information Technology, Retail, Automotive
Certification focus areas
Quality Assurance, Information Technology, Project Management
Bachelor's degree or higher
89%
Master's degree or higher
33%
Certifications per freelancer
3
Most common languages
English, German, 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 Germany 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 Germany using Appium
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
Mobile test automation
Appium is used to automate mobile apps on iOS and Android. It fits native, hybrid, and mobile web flows, so teams can cover login, search, checkout, permissions, and device-specific behavior with one toolchain. Strong experts focus on reliable coverage, not brittle scripts.
What it covers
- Native app journeys on real devices and emulators
- Cross-platform test suites for shared mobile flows
- WebView and browser checks on mobile
- Regression coverage for releases and hotfixes
Tooling and stack
Appium sits close to Selenium-style automation, but it targets mobile apps through platform drivers. Specialists often work with Java, JavaScript, Python, or C#, plus frameworks, CI pipelines, device farms, and reporting tools. In Germany, this often supports product teams shipping apps for retail, finance, logistics, and travel.
When to bring in help
Companies look for freelance Appium expertise when tests are flaky, device coverage is weak, or a new app needs an automation baseline. They also bring in specialists for framework setup, test refactoring, CI integration, and release gates. The best professionals write clear locators, stable waits, and reusable helpers.
What strong specialists do
- Build maintainable page or screen abstractions
- Reduce false failures from timing and device issues
- Work with logs, screenshots, and video evidence
- Align automation with product risk and release flow
Delivery in Germany
German teams often want clear communication, clean handover, and practical remote collaboration. A good Appium specialist can join existing QA, mobile, and product workflows without slowing delivery. They leave behind tests, setup notes, and a structure your internal team can keep using.
Frequently asked questions
Not sure where to start with Appium? These answers cover the essentials.
Appium is used to automate tests for iOS and Android apps, including native, hybrid, and mobile web flows. It helps teams verify user journeys like sign-in, navigation, forms, and checkout across different devices and operating systems.
Appium is broader than single-platform tools because it can drive both iOS and Android from one approach. Selenium is mainly for web, while Espresso and XCUITest are platform-specific and can be faster for deep native coverage. Many teams use Appium when they want one automation layer across mobile apps.
A strong Appium freelancer usually knows mobile test design, locators, waits, and flaky-test debugging. Useful adjacent skills include Java, JavaScript, Python, or C#, plus CI/CD, device farms, and reporting tools. Knowledge of iOS and Android behavior matters just as much as the framework itself.
A small app can start with a focused Appium setup, but larger products need someone who has seen device variation, build pipelines, and test maintenance before. If your release process depends on automation, choose a specialist who has owned the framework, not just written a few scripts.
Bring in Appium expertise when your team needs a fast start, a cleanup of unstable tests, or help linking automation to releases. It is also useful when internal mobile specialists are busy building features and test coverage cannot wait.
Yes, Appium work is often well suited to remote collaboration because most of the setup lives in code, logs, and CI pipelines. For teams in Germany, remote specialists can still align with local product and QA staff through clear handover, device access, and regular review.
Look for a Appium specialist who explains test strategy, avoids brittle selectors, and can show how they handle waits, retries, and device differences. Good work also includes readable code, stable CI runs, and clear notes for maintenance after delivery.
The most common Appium problems are over-automating unstable flows, relying on fragile locators, and ignoring device timing issues. Another mistake is treating test scripts as a one-time task instead of maintaining them as the app changes.
The average hourly rate of freelancers in Germany who have used Appium in their recent projects is 83 €, which corresponds to a daily rate of about 667 € based on an 8-hour working day.
Of the freelancers in Germany who have used Appium in their recent projects, 89% hold at least a Bachelor's degree and 33% hold at least a Master's degree.
On average, freelancers in Germany who have used Appium in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Germany who have used Appium in their recent projects are English (100%), German (89%), and French (47%).
The most common industries among freelancers in Germany who have used Appium in their recent projects are Information Technology (100%), Retail (58%), and Automotive (53%).
The most common business areas among freelancers in Germany who have used Appium in their recent projects are Information Technology (100%), Quality Assurance (89%), and Product Development (84%).
Main locations of FRATCH Experts, who have recently used Appium
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
