PMD Experts in Germany
for cleaner Java code, matched in minutes with vetted freelance professionalsHire experts who configure PMD rules, integrate static analysis into Maven or Gradle pipelines, and reduce Java code violations across large codebases. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used PMD
Timo H.
Last position:
Software Developer at Smiths Detection
- Extension of a Swing-based UI for recording Security Restricted Articles during baggage screening.
- Introduction of a new workflow for recording Deboarding Events.
- Extension of the reporting system for Security Restricted Articles and Deboarding Events.
- Implementation using JBoss Wildfly, PostgreSQL, spring-boot 3.x, Java 8/21, Swing, JSF, JAX-RS/Resteasy, Docker, Maven, Kiro.
Fred H.
Last position:
Software Architect and Developer at Personal project
Recurring problem in my own AI-assisted projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but remain difficult to follow and scattered across Markdown files – knowledge is lost as soon as it is no longer in the context window. arknet turns requirements engineering and architecture knowledge into structured, verifiable data instead of plain text: requirements, use cases, and architecture decisions form a consistently linked knowledge graph, traceable from requirement to architecture decision – queryable by both people and AI agents. Technically based on RDF/OWL and a custom MCP server.
Result: Working MCP daemon, Docker image published automatically to GHCR, nine hexagonal modules, eleven ADRs (including an Open-Core licensing model). Requirements engineering and Ubiquitous Language hexagons are active. Public as a Community Edition under Apache-2.0 since 07/2026 (github.com/kogn-io/arknet), together with the Claude Code plugin and GHCR image; Open-Core model.
Label: Java, Maven, RDF, RDF4J, OWL, SPARQL, Model Context Protocol, Spring AI, Docker, GitHub, Git, Claude Code, Obsidian, DDD, Hexagonal Architecture, ArchUnit, JUnit, AssertJ, Interface Development, Software Architecture, Continuous Integration, Knowledge Management
Kyu-Wang L.
Last position:
Software Architect & Lead Software Engineer at Landesamt für Steuern Niedersachsen
The goal of BIENE is to provide a unified tax collection program for all federal states.
Tax collection involves collecting the taxes that have been assessed. This includes, for example, taking due dates into account, recording incoming and outgoing payments, and initiating reminders or refunds. Limitation periods and payment reminders are also important. BIENE handles all payment transactions with banks and accounting.
Set up the architecture and coordinated the provision of development and test environments at the Hannover site
Installed and configured the environments on Linux servers (Apache Kafka, PostgreSQL)
Interface coordination: coordinated and aligned the connection of software products from other departments and their test data
Migrated the application server, JDK, and Maven project structure
Coordinated environments and managed builds
Implemented external interfaces
Delivered business requirements
Designed and implemented RESTful APIs and OpenAPI specifications
Designed and implemented a microservice architecture
Set up and maintained CI/CD pipelines
Deployed applications on OpenShift
Created technical documentation and diagrams
Worked with SQL databases (Oracle and PostgreSQL)
Set up authentication and authorization for the application and users
Containerized the application (automated deployment through the CI/CD pipeline)
Carsten R.
Last position:
Enterprise Product Owner at opta data IT GmbH
- Product responsibility for the central platform "one" as a group-wide web-based customer portal
- Coordination of the connection of 20 group companies to the product platform
- Derivation and steering of a group-wide product strategy and roadmap aligned with company goals
- Prioritization and bundling of strategic requirements from the various group companies
- Harmonization of different interests and moderation of complex decision-making processes at management level
- Ensuring the technical and business integration of the product into existing system landscapes, business processes, and business models
- Building transparent governance and decision-making structures for group-wide product development
- Representation of the product towards internal and external stakeholders at leadership level
Manish K.
Last position:
Freelance Senior Solutions Architect at YoungIT
- Worked with a UK based organisation offering a range of free sexual health services such as STI testing, treatment and contraception across the UK
- Created a Liferay DXP based customer facing portal (version 7.4) over Liferay Experience Cloud
- Designed and developed Liferay modules
- Managed Liferay Experience Cloud and release management
- Coordinated with different teams and helped other team members on Liferay challenges
- Engaged in discussions with business and stakeholders on expectations
- Implemented architectural best practices
Sascha J.
Last position:
Agile Coach & Partner at Agisolve GmbH – Pragmatic Agility® | Edler & Stiegler GmbH | CTN Consulting
- Create a product and service portfolio delivering a 360 degree approach to digital corporate sustainability covering KPI management, CSRD reporting and sustainable strategy
- Create vision and business case
- Onboard and align business partners, negotiate contracts
- Set up partner network as self-organized agile team
- Co-develop product and service portfolio
- Coordinate sales and marketing, go-to-market strategy and roadmap
Reinhard D.
Last position:
Continuing Education Data Analytics, Artificial Intelligence, Deep Learning, Machine Learning at Continuing Education
- Continuing education in Data Analytics, Artificial Intelligence, Deep Learning and Machine Learning
- Operating system: Windows
- Development environments: JetBrains PyCharm, Jupyter Notebook, Spyder
- Programming languages: Python 3.10
- Other technologies: Anaconda, Keras 2.10, NumPy, OpenCV, Pandas, Scikit-learn, Seaborn, TensorFlow 2.10, PyTorch
Janusz M.
Last position:
IoT Edge Computing / Self-Driving-Cars at Automotive consulting company
- Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
- Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
- Responsible for webinar:
- IoT edge computing: architecture, components, resources, management
- IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
- IoT processes, connectivity, data transfer and deployment, security
- Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
- Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
- Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
- Analysis of large sensor data sets with Apache Spark, Kafka clusters
- Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
- Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
- Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))
Discover over 15,000 top freelancers
Statistics of experts using PMD
Aggregated from the professional profiles of matched freelancers.
Experience
26 years
Position duration
1.6 years
Positions per freelancer
18
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Government and Administration
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
80%
Doctorate
40%
Certifications per freelancer
5
Most common languages
German, English, French
Speak two or more languages
88%
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 PMD
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.
PMD 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%)
- Banking and Finance (75%)
- Government and Administration (63%)
- Automotive (50%)
- Professional Services (50%)
- Advertising (38%)
- Aerospace and Defense (38%)
- Education (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What PMD does
PMD is an open-source static source code analyzer for Java and several related languages. It inspects source code without executing it and identifies problems such as unused variables, duplicated logic, overly complex methods, weak exception handling, and risky design patterns. Teams use its findings to improve maintainability before defects reach production.
Rules and analysis
PMD works through configurable rulesets that define which patterns should be reported and how severe each issue is. Experts select built-in rules, exclude unsuitable checks, and create custom XPath or Java-based rules for domain-specific standards. They also tune priorities and suppressions so analysis remains useful instead of producing unmanageable noise.
Build integration
PMD fits into common Java delivery workflows and can run during Maven or Gradle builds. It is often combined with Checkstyle, SpotBugs, SonarQube, or a continuous integration service, with each tool covering a different quality concern.
- Configure PMD Maven or Gradle plugins
- Publish reports in continuous integration pipelines
- Set quality gates for pull requests and releases
- Migrate rulesets as Java versions and frameworks change
Where it is used
Companies bring in PMD expertise when a Java codebase has accumulated technical debt, when a quality initiative needs enforceable rules, or when teams want consistent review standards across services. It is useful in enterprise applications, financial systems, public-sector software, and backend platforms where long-term changeability matters. In Germany, specialists may support distributed teams remotely or work with on-site delivery groups when code access and release coordination require closer collaboration.
Skills around PMD
Effective work with PMD involves more than enabling a plugin. Strong professionals understand Java language features, object-oriented design, testability, build automation, and version-control workflows. They can connect findings to engineering priorities and explain which warnings deserve immediate action.
- Java and JVM build systems
- Maven, Gradle, and continuous integration
- Rule configuration, custom rules, and suppressions
- Refactoring, testing, and technical-debt planning
Choosing strong specialists
Look for evidence that a professional has introduced static analysis without slowing delivery or overwhelming teams with false positives. Ask how they selected rules, measured useful remediation, handled legacy code, and integrated findings into reviews. A capable PMD specialist separates style preferences from defects, documents exceptions, and leaves behind rulesets that teams can maintain after the engagement ends.
Frequently asked questions
Everything clients usually want to know about PMD, in one place.
PMD analyzes Java source code for maintainability problems and suspicious patterns without running the application. Teams use it to detect issues such as duplicated code, excessive complexity, unused fields, and weak exception practices before they become harder to fix.
PMD focuses mainly on source-level patterns, design problems, and maintainability rules. Checkstyle is more focused on formatting and coding conventions, SpotBugs analyzes compiled bytecode for likely defects, and SonarQube combines several analysis views with broader reporting and governance features.
A strong PMD specialist should understand Java, Maven or Gradle, version control, and continuous integration. Experience with Checkstyle, SpotBugs, SonarQube, testing, refactoring, and pull-request workflows is also valuable because static analysis works best as part of a wider quality process.
The right level depends on the codebase and the outcome required. A small ruleset adjustment may suit a general Java professional, while a legacy migration, custom rule set, or organization-wide quality standard calls for a specialist who has designed and maintained PMD configurations in comparable environments.
PMD work is usually well suited to remote collaboration because rulesets, reports, and build changes can be reviewed in version control. Teams in Germany should agree on repository access, review routines, meeting language, and release responsibilities; on-site work can help when security controls or close coordination make it necessary.
Ask for a clear explanation of the selected rules, severity levels, exclusions, and expected remediation path. Good PMD work reduces meaningful findings, limits false positives, integrates cleanly with builds, and gives the team documented rules it can extend and maintain.
Yes, but PMD should be introduced in stages for a large or older codebase. A specialist can baseline existing findings, enforce rules only on changed code, prioritize high-value violations, and expand coverage as teams remove technical debt.
Custom rules are useful when built-in PMD checks cannot express an important architectural or domain convention. They should have a clear failure pattern, documented intent, and tests; otherwise, a configuration change or a review guideline may be simpler and easier to maintain.
The average hourly rate of freelancers in Germany who have used PMD in their recent projects is 93 €, which corresponds to a daily rate of about 743 € based on an 8-hour working day.
Of the freelancers in Germany who have used PMD in their recent projects, 100% hold at least a Bachelor's degree, 80% hold at least a Master's degree, and 40% hold a doctorate.
On average, freelancers in Germany who have used PMD in their recent projects have 26 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 PMD in their recent projects are German (100%), English (88%), and French (13%).
The most common industries among freelancers in Germany who have used PMD in their recent projects are Information Technology (100%), Banking and Finance (75%), and Government and Administration (63%).
The most common business areas among freelancers in Germany who have used PMD in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (88%).
Main locations of FRATCH Experts, who have recently used PMD
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.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
