Dagger Experts in Germany
to automate portable CI/CD workflows with fast, precise AI matchingWork with specialists who create reusable Dagger pipelines, containerized build steps and integrations with GitHub Actions, GitLab CI or Kubernetes. FRATCH matches you quickly with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Germany, who have recently used Dagger
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
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
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%
Mathias V.
Last position:
Senior Android Developer / Freelancer at Adevinta
- Further development of the classifieds app
- Android
- Kotlin
- Coroutines
- Jetpack Compose
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 19 Sep 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 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 19 Sep 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, container-first engine for building CI/CD pipelines as code. Its reusable functions run in containers and can be executed locally, in CI systems or through Dagger Cloud. The approach helps teams keep build logic portable across environments instead of tying every workflow to one vendor’s configuration format.
Pipelines it enables
Companies use Dagger to create repeatable automation for software delivery, testing and infrastructure tasks. Typical workflows include:
- Building and publishing container images
- Running unit, integration and end-to-end tests
- Generating release artifacts and deployment packages
- Reusing the same pipeline logic locally and in CI
Dagger can coordinate package installation, caching, service dependencies, security checks and deployment preparation within one programmable workflow.
Languages and tooling
Dagger functions can be written with supported SDKs such as TypeScript, Python, Go and PHP, while the Dagger engine executes the resulting dependency graph through containers. Strong specialists understand Docker, OCI images, registries, secrets, caching and GraphQL-based module interfaces. They also connect Dagger with GitHub Actions, GitLab CI, Jenkins, Kubernetes and cloud delivery services.
When companies need expertise
Freelance expertise is useful when a team wants to replace fragile YAML pipelines, standardize delivery across repositories or introduce local pipeline execution without duplicating CI logic. Specialists also help during migrations, platform consolidation and the rollout of shared modules across product teams. In Germany, remote collaboration is common, while regulated or complex delivery environments may still require on-site workshops and German or English communication.
What strong specialists deliver
A capable Dagger professional starts with the delivery model, not with a collection of scripts. They define clear modules, isolate credentials, control cache behavior and make failures easy to diagnose. They can explain trade-offs between Dagger and native CI features, document interfaces for other teams and test pipeline code like production software. Useful deliverables include module repositories, CI integrations, migration plans, runbooks and maintainable release workflows.
Dagger and related names
The product is commonly referred to as Dagger or Dagger.io, with the Dagger Engine at its core. It is distinct from the Java and Android dependency-injection framework also called Dagger, so project briefs should state which ecosystem is intended. For the CI/CD product, adjacent skills include container security, Linux, Git workflows, Kubernetes and infrastructure automation. The best engagement begins with a clear target pipeline, existing CI constraints and the environments where execution must remain portable.
Frequently asked questions
Curious about Dagger? Here are the answers that come up again and again.
Companies use Dagger to define portable CI/CD workflows as code and run them through containers. Common tasks include image builds, automated tests, artifact creation, dependency caching and deployment preparation across local machines and CI environments.
Dagger provides a programmable execution engine and reusable modules, while GitHub Actions and GitLab CI primarily provide hosted orchestration, runners and configuration formats. Dagger can run inside those systems, helping teams share the same pipeline logic locally and across different CI providers.
A strong Dagger specialist usually understands Docker or OCI images, Linux, Git, registries, secrets and caching. Experience with GitHub Actions, GitLab CI, Kubernetes, cloud environments and infrastructure automation is also valuable.
A small proof of concept may need a specialist who can model one pipeline and connect it to an existing CI system. Larger migrations or shared platform modules require deeper knowledge of container execution, dependency graphs, caching, security and maintainable SDK code. The required level depends more on pipeline complexity than on the number of repositories.
Dagger is well suited to remote collaboration because pipelines, modules and execution behavior can be reviewed in version control. Teams in Germany should agree early on working language, documentation standards, access to registries and secure handling of credentials. On-site workshops can help when delivery processes span several departments.
Ask the specialist to explain module boundaries, failure handling, cache invalidation, secret management and how the pipeline behaves both locally and in CI. A high-quality Dagger professional can show readable code, tests, useful logs and a clear migration or rollout plan rather than only a working demonstration.
No. Dagger can refer to the containerized CI/CD product from Dagger.io or to the Java and Android dependency-injection framework with the same name. A project brief should specify whether it needs pipeline automation or dependency-injection expertise.
A typical Dagger engagement can produce reusable modules, pipeline code, CI integrations, container definitions, tests, documentation and operational runbooks. It should also clarify ownership of secrets, registries, cache storage and future maintenance so the internal team can extend the workflow confidently.
The average hourly rate of freelancers in Germany who have used Dagger in their recent projects is 77 €, which corresponds to a daily rate of about 612 € 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
