PMD Experts in Germany
for cleaner code with fast, precise AI matchingHire experts who identify code smells, configure custom PMD rules and integrate static analysis into Maven, Gradle or CI pipelines. Work with vetted, available freelancers matched to your requirements quickly and precisely.
Meet FRATCH Experts in Germany, who have recently used PMD
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
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
Kyu-Wang L.
Last position:
Software Architect & Lead Software Engineer at Landesamt für Steuern Niedersachsen
The goal of BIENE is to provide a uniform program for tax collection for all states.
In tax collection, the aim is to collect the assessed taxes. This includes handling due dates, documenting incoming and outgoing payments, triggering reminders or refunds. Statute of limitations and payment reminders also play an important role. All payment transactions with banks and accounting are mapped in BIENE.
Setting up the architecture and coordinating the provisioning of development and test environments at the Hanover location
Installing and configuring environments on Linux servers (Apache Kafka, PostgreSQL)
Interface tasks: coordinating and aligning the integration of software products from other departments and their test data
Upgrading application server, JDK, Maven project structure
Environment coordination and build management
Implementing external interfaces
Implementing business requirements
Designing and implementing RESTful APIs and OpenAPI specifications
Designing and implementing microservice architecture
Setting up and maintaining CI/CD pipelines
Deploying applications on OpenShift
Creating technical documentation and diagrams
Working with SQL databases (Oracle and PostgreSQL)
Setting up authentication and authorization for the application and users
Containerizing the application (automated deployment via CI/CD pipeline)
Timo H.
Last position:
Software Developer at Continentale Krankenversicherung AG
- Implementation of a REST-based web service for querying contract, claims, customer, and sales data as part of the Dialogmanager project.
- Data release is done in compliance with CoC requirements and individual user permissions from IAM (Identity and Access Management).
- Implementation using JBoss EAP 8.1 (JakartaEE 10) and Java 21 as well as JAX-RS, CDI, Microprofile-Config, Microprofile-OpenAPI.
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
60%
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 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 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 19 Sep 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%)
- Education (38%)
- Energy (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Code Quality Analysis
PMD is an open-source static source code analyzer that finds common programming problems without executing an application. It detects code smells, unused variables, empty catch blocks, overly complex methods and other patterns that can make Java and related code harder to maintain. PMD is commonly used as part of quality checks before changes reach production.
Supported Languages
PMD began in the Java ecosystem and remains closely associated with Java projects, but its language support is broader. Depending on the PMD release and ruleset, teams can analyze Apex, JavaScript, JSP, Kotlin, Modelica, PL/SQL, Salesforce code and XML. Strong specialists understand the limits of each language module and avoid applying rules that create misleading findings.
Rules And Tooling
PMD combines built-in rulesets with project-specific rules and suppressions. Professionals often configure it through Maven, Gradle, Ant or direct command-line execution, then connect reports to SonarQube, Jenkins, GitHub Actions or other CI systems. Custom XPath or Java-based rules can enforce conventions that generic checks do not cover.
When Companies Need PMD
- A growing Java codebase produces recurring defects or review warnings
- A team needs consistent static analysis across repositories
- A migration requires a baseline for legacy code quality
- CI checks need useful thresholds without blocking every existing finding
- Custom rules must reflect internal architecture or coding standards
Freelance expertise is useful when a company needs a practical ruleset rather than a noisy scan. A specialist can assess existing findings, set priorities and introduce checks incrementally across distributed teams in Germany or remote delivery models.
Project Deliverables
Typical deliverables include a PMD configuration, tuned rulesets, suppression guidance, CI integration and a clear report for the wider team. Specialists may also refactor high-impact findings, document exceptions and define quality gates for pull requests. The work often sits alongside unit testing, code review, Checkstyle, SpotBugs and architectural controls.
What Strong Specialists Know
A capable PMD professional distinguishes a real maintainability risk from a harmless pattern and explains that difference clearly. They know how rule priorities, violations, suppressions and incremental adoption affect delivery. They also understand Java build lifecycles, repository structure and test automation, so static analysis supports the project instead of becoming an isolated report.
For teams in Germany, collaboration can be remote, hybrid or on site. The most important factors are access to repositories, agreement on coding standards and communication in the language the delivery team uses.
Frequently asked questions
Everything clients usually want to know about PMD, in one place.
PMD is used for static source code analysis. It scans supported code for code smells, unused variables, excessive complexity, duplicated logic and other maintainability concerns before runtime.
PMD focuses mainly on source-level patterns and code smells, while Checkstyle emphasizes formatting and coding conventions. SpotBugs analyzes compiled bytecode for likely defects, so teams often use these tools together rather than treating them as direct substitutes.
A strong PMD specialist usually understands Java, Maven or Gradle, version control and CI pipelines. Experience with Checkstyle, SpotBugs, SonarQube, unit testing and code review helps them turn findings into a workable quality process.
The required experience depends on the scope, not on the tool alone. A focused ruleset adjustment may need a different level of expertise than a legacy-code baseline, custom rule implementation or rollout across several repositories.
PMD work is often suitable for remote collaboration because configurations, reports and CI changes can be reviewed in shared repositories. On-site sessions may still help when teams need workshops on coding standards, legacy findings or adoption planning.
Ask for examples of ruleset design, false-positive reduction and staged adoption. High-quality PMD work explains why a finding matters, documents justified suppressions and leaves repeatable CI checks that the team can maintain.
PMD supports more than Java, with language modules that can include Apex, JavaScript, JSP, Kotlin, PL/SQL and XML depending on the release. A specialist should confirm the relevant module and rule coverage before committing to a project scope.
Custom rules make sense when standard PMD checks cannot express an important internal convention or architectural constraint. They should be narrowly defined, tested against representative code and introduced only when the maintenance value outweighs the ongoing rule cost.
The average hourly rate of freelancers in Germany who have used PMD in their recent projects is 95 €, which corresponds to a daily rate of about 760 € 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, 60% 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.
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Philipp Thomaschewski
FRATCH CEO
