Dagger Experts in Germany
, matched with vetted freelancers in minutesHire experts who create portable CI/CD pipelines with Dagger, Docker, GraphQL and language-specific SDKs. Work with specialists who can connect testing, security checks and releases across local or cloud environments, with fast, precise matching to vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Dagger
James C.
Last position:
Freelance Android Developer at Normalis
- Working on Telecommunication Apps on Android under NDA for the Military
- Participation in the development of backend services (Spring, Java)
- Android Development, Kotlin, Compose, REST, JSON, State-Machines, Android Studio, IP Communication, Cybersecurity, Agile
Mathias V.
Last position:
Fullstack AI Engineer at Ammodia.com
Developed a custom Kotlin Multiplatform app with a Spring backend and AI features.
Steven M.
Last position:
Freelance Trainer at TÜV Rheinland Akademie
- Practical seminar “Generative AI in Software Development”
- Mobile apps and cloud computing
- Internet of Things, smart home, and consumer healthcare
- The future of mobile communication
Matthias E.
Last position:
Lead Android Developer at Star Finanz-Software Entwicklung und Vertriebs GmbH
- Further development of the Android app "StarMoney"
- Major XML to Compose redesigns
- Introduction of new technologies and architecture
- Implementation of instant bank transfer
- Development following the agile Scrum process
Umer D.
Last position:
Activation and Vocational Integration Program with Integrated Language Support at Berlitz
- Intensive language course with a focus on professional language content.
Rafael K.
Last position:
Senior Android Developer / Team-Lead at IBM Deutschland
- Further development and release support for a white-label ePA component for health insurance companies
- Technologies: Android (Kotlin), Kotlin Multiplatform, Coroutines, Jetpack Compose, MVVM, StateFlow, Gradle, ProGuard
Burak C.
Last position:
Senior Android Developer at Awesome Technologies GmbH
- Optimized the Amp healthcare app alongside a senior developer, specifically enhancing data caching mechanisms which led to a 25% improvement in load times.
- Applied MVI architecture, resulting in a 30% decrease in bugs and streamlining testing processes.
- Implemented CI/CD with Bitrise, reducing deployment sizes from 120MB to 104MB.
- Led the migration of 40% of the Java codebase to Kotlin.
- Achieved 85% unit test coverage.
M Samy H.
Last position:
Android Developer at Check24 GmbH
- Developed and maintained the large-scale Check24 car insurance native Android app serving millions of users using Jetpack Compose.
- Owned the end-to-end implementation of new features, including planning, development, and delivery in an Agile/Scrum environment.
- Refactored legacy Java code into a modern Compose architecture, improving maintainability and long-term scalability.
- Performed code reviews for team members via Bitbucket, ensuring code quality, architectural consistency, and Kotlin best practices.
Dmitrii S.
Last position:
Senior Developer/Team Lead at Devexperts
Project Livebash (2021-12-01–2023-12-31)
Development and design of the core system
Code reviews
Developer management
CI/CD
Client communication
Leading epics
Speaking at conferences
Managing the production system
Interviewing project developers
Outcome: production system
Technologies and tools: Java 11, Java 17, Kotlin, Spring Boot, TeamCity, Gradle, AWS DynamoDB, JUnit, Mockito, Docker, Docker Compose, AWS SQS, AWS EC2, AWS S3, AWS MediaLive, Ethereum, Postman
Project Robinhood (2024-01-01–2024-05-31)
Customization and development of product features for specific clients
Interviews with project developers
Technologies and tools: Java 17, Java RX, Kotlin, Spring Boot, TeamCity, Gradle, JUnit, Mockito, Docker, Docker Compose, PostgreSQL
Projects Sway, Tickmill, Pepperstone, UCapital (2024-06-01–present)
Customization and development of product features for specific clients
Bug fixes
Porting tickets from the product
Feature development
Technologies and tools: Java 17, Java RX, Kotlin, Spring Boot, TeamCity, Gradle, JUnit, Mockito, Docker, Docker Compose, PostgreSQL
Yodgorbek K.
Last position:
Android Developer at Mein Artz
- Led the development of a doctor scheduling Android app, integrating Jetpack Compose and Kotlin Multiplatform, achieving a 30% performance improvement.
- Implemented complex UI components, ensuring 99.8% crash-free user sessions.
- Seamlessly integrated Compose UI with existing View-based components.
- Optimized API calls, reducing load times by 20%.
- Tech Stack: Kotlin, Jetpack Compose, KMM, MVVM, Koin, Firebase, Stripe API, Crashlytics
Jan G.
Last position:
Master Data Application at confidential
Visualization, search, and maintenance of various types of master data, providing them via a REST API, and implementing a variety of import and export formats.
Implementation, architecture, project management.
Technologies and tools: Angular (Signals, Signal Store, swagger-codegen, standalone components), Java, PostgreSQL, ActiveMQ, JavaScript, Spring Boot (Spring Core, Spring MVC, Spring Data/JPA via Hibernate, Spring Security, Spring Modulith), JUnit, Flyway, QueryDSL, GraphQL, REST API, Node, npm, Maven, SonarQube, GitLab CI/CD pipelines, Docker, Nexus, OpenAPI + Swagger UI, Keycloak, OAuth2, OpenID Connect, IntelliJ IDEA, Jira, Confluence.
Md. Shah S.
Last position:
Android Engineer at ScrapBays Ltd.
- Built features using Jetpack Compose
- Improved location-based features with in-memory caching
- Developed Merchant-to-Merchant chat functionality from scratch
- Integrated FCM with deep links to enable contextual push notifications
- Performance tuning for Google Maps view using clustering for better performance in dense areas
Md A.
Last position:
Software Engineer (Android - Kotlin, Jetpack Compose) at BJIT Ltd
- Led high-impact projects for multinational clients, including Sony, Rakuten, Netflix, and Zalando, delivering next-generation solutions
- Spearheaded the development of Android applications using Kotlin and Flutter, boosting user interface speed by 30% and implementing MVVM and Clean Architecture
- Orchestrated the integration of REST APIs to fetch and present data with 100% accuracy and uptime, ensuring a seamless user experience
- Enhanced local data storage solutions by utilizing RoomDB, SharedPreferences, and DataStore, reducing application load times by 15%
Johannes L.
Last position:
Android Developer at Adevinta
- Implementing tasks for the Privacy and Trust and Safety team
- Technologies: Kotlin Coroutines, Jetpack Compose, RxJava, Kotlin Room, Dagger, Epoxy, Google Pay
Discover over 15,000 top freelancers
Statistics of experts using Dagger
Aggregated from the professional profiles of matched freelancers.
Experience
13 years
Position duration
1.6 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Healthcare, Transportation
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
83%
Master's degree or higher
50%
Certifications per freelancer
1
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Germany using Dagger
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Dagger 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 (100%)
- Healthcare (57%)
- Transportation (57%)
- Insurance (50%)
- Automotive (43%)
- Education (36%)
- Media and Entertainment (36%)
- Telecommunication (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Dagger is
Dagger is a programmable engine for creating CI/CD workflows that run in containers. Instead of tying pipeline logic to one hosted CI product, teams define reusable actions and execute them through Dagger’s API. The Dagger Engine provides a consistent runtime across local machines, CI runners and cloud infrastructure.
Where it fits
Dagger supports software delivery tasks that need repeatable environments and clear dependencies. Its container-first model helps teams move pipeline logic between systems while keeping tools and inputs explicit.
- Build and test applications in isolated containers
- Run linting, security scans and dependency checks
- Package images and publish release artifacts
- Coordinate previews, deployments and integration tests
Ecosystem and SDKs
The Dagger ecosystem includes the Dagger CLI, Engine, GraphQL API and SDKs for languages such as Go, Python, TypeScript and PHP. Strong specialists also work with Docker, BuildKit, Kubernetes, GitHub Actions, GitLab CI and cloud registries. They understand how to combine Dagger modules with existing pipeline systems rather than forcing a complete replacement.
When expertise helps
Companies often bring in freelance Dagger expertise when pipelines have become difficult to maintain or behave differently across environments. A specialist can turn repeated shell scripts into tested modules, connect Dagger to an existing CI service and establish conventions for secrets, caching and artifacts. In Germany, this can support distributed teams that need dependable remote collaboration as well as occasional on-site workshops.
- Standardize delivery across repositories and teams
- Reduce duplicated workflow logic
- Improve local reproduction of CI failures
- Introduce reusable modules for common tasks
What strong professionals deliver
Experienced Dagger professionals design small, composable pipeline functions with clear inputs and outputs. They know where container boundaries help and where they add needless overhead. Their deliverables may include modules, SDK code, CI integration, documentation, test coverage and a migration plan that keeps delivery moving during the transition.
How quality is judged
Good Dagger work is portable, observable and easy to change. Review the specialist’s approach to cache keys, dependency pinning, secret handling, parallel execution and failure diagnosis. Ask for a practical explanation of how the workflow runs locally and in the target CI environment, including how the team will maintain modules after handover.
Frequently asked questions
Curious about Dagger? Here are the answers that come up again and again.
Dagger is used to define and run CI/CD workflows through code and containers. Teams use it for builds, tests, security checks, image creation, artifact publishing and deployment preparation. Its portable execution model helps reduce differences between local and hosted CI environments.
Dagger is not a direct replacement for GitHub Actions or GitLab CI in every setup. Those services provide hosted workflow orchestration, while Dagger focuses on programmable, containerized pipeline logic that can run inside or alongside them. The right choice depends on how much portability, reuse and local execution the team needs.
Dagger work benefits from knowledge of Docker, BuildKit, Git, container registries and at least one CI service. Helpful adjacent skills include Kubernetes, cloud infrastructure, shell scripting, GraphQL and a Dagger SDK such as Go, Python or TypeScript. The specialist should also understand testing, caching and secret management.
Dagger projects need enough practical experience to model workflows as reusable modules rather than simply copying existing shell commands. A small proof of concept may need focused pipeline knowledge, while a broad migration requires experience with module design, CI integration, caching and operational handover. Assess the complexity of the current delivery system before choosing the level of expertise.
Dagger is well suited to remote collaboration because its workflows, modules and execution settings can be reviewed as code. Teams in Germany can work remotely with a specialist when documentation, repository access and test environments are prepared. On-site sessions can still help with workshops, security reviews or migration planning, and language expectations should be agreed early.
Dagger engagements commonly produce reusable modules, SDK code, CI configuration and documentation. A strong delivery also explains local execution, cache behavior, secret handling, failure diagnosis and the path to maintain the workflow after the engagement. Clear tests and a controlled rollout are more valuable than a large collection of clever pipeline steps.
Dagger quality is visible in reproducible runs, clear module boundaries and predictable behavior across environments. Ask the specialist to explain dependency pinning, cache invalidation, parallel tasks and how failures are surfaced. Review whether the code is understandable to the existing team and whether the workflow can evolve without duplicating logic.
Dagger may be unnecessary when a simple hosted workflow already meets the team’s needs and portability is not important. It can also add complexity if the organization lacks container knowledge or cannot maintain reusable modules. A careful assessment should compare the value of shared, programmable pipeline logic with the cost of introducing another execution layer.
The average hourly rate of freelancers in Germany who have used Dagger in their recent projects is 75 €, which corresponds to a daily rate of about 598 € based on an 8-hour working day.
Of the freelancers in Germany who have used Dagger in their recent projects, 83% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Germany who have used Dagger in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Germany who have used Dagger in their recent projects are German (100%), English (93%), and Spanish (7%).
The most common industries among freelancers in Germany who have used Dagger in their recent projects are Information Technology (100%), Healthcare (57%), and Transportation (57%).
The most common business areas among freelancers in Germany who have used Dagger in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (36%).
Main locations of FRATCH Experts, who have recently used Dagger
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
