PMD Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used PMD
Fred Hauschel
Last position:
Software Architect and Developer at Personal project
A recurring problem in my own AI-supported projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but they remain hard to trace 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 as a continuously linked knowledge graph, traceable from the requirement to the architecture decision – queryable for both people and AI agents alike. Technically based on RDF/OWL and its own MCP server.
Result: MCP daemon running, Docker image automatically published on GHCR, nine hexagonal modules, eleven ADRs (including an open-core licensing model). Requirements engineering and ubiquitous language hexagon active. Publicly available since 07/2026 as a Community Edition under Apache-2.0 (github.com/kogn-io/arknet), together with the Claude Code plugin and the 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
Kyu-Wang Lee
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 Heck
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 Kumar Jaiswal
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 Jürgens
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
Pawel Ginalski
Last position:
Senior Consultant & Drupal 10 Architect at Stiftung Jüdisches Museum Berlin
- Planning and development of jmberlin.de, the digital platform of the Jewish Museum Berlin, a central place for history, education, and social dialogue
Münevver Yilmaz
Last position:
SAP HCM Project Lead at Provinzial Versicherungen
Erol Tel
Last position:
Continental AG
- Analyze and fix data flows between PMD and SAP HR/S4 systems using SAP PI/PO and ABAP, especially in the HR area.
- Provide integration services by developing, customizing, and troubleshooting issues in custom interfaces and processes.
- Participate in technical and functional discussions to align the HR system architecture and integration strategies.
- Ensure system stability and data accuracy by proactively identifying and resolving integration issues to contribute to ongoing project success.
- Transfer HR data via OData service to SuccessFactors ABAP-OO report: access LDAP user data alongside SAP user data and update the email address and Windows ID in SAP.
- S/4 HANA, ABAP/4, ABAP-Object, S/4 HR, FI, SoapUI, Postman, REST API, JSON.
Reinhard Duy
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 Mazurek
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
25 years
Position duration
1.2 years
Positions per freelancer
19
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
57%
Doctorate
29%
Certifications per freelancer
4
Most common languages
German, English, Polish
Speak two or more languages
90%
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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
PMD in practice
PMD is a static code analysis tool used to spot code smells, risky patterns, and style drift before release. It is common in Java work, and it also appears in Apex, JavaScript, XML, and other rule-driven codebases. Teams use it to keep reviews focused on design and correctness, not on avoidable issues.
Typical use cases
- Set up PMD for Java quality checks in build pipelines
- Review legacy code and reduce noisy findings
- Define rulesets for team standards and architectural constraints
- Integrate PMD reports into pull request workflows
Rules and reporting
Strong PMD specialists know how to balance strict rules with practical delivery. They adjust rulesets, suppress false positives in the right places, and turn reports into clear action items. They also understand how PMD fits with related checks such as Checkstyle, SpotBugs, and SonarQube.
Ecosystem and skills
PMD work often touches Maven, Gradle, Ant, and CI systems such as Jenkins or GitHub Actions. Experts need a solid grasp of code structure, refactoring, and maintainable Java design. In Germany, they are often brought into enterprise teams where code quality has to work across shared repositories and release trains.
When companies bring in help
- Existing PMD rules are too noisy or too weak
- A new code base needs quality gates from day one
- Multiple teams need one shared ruleset
- Build failures need clearer ownership and cleaner reports
Freelance support is useful when internal teams know the code but need help turning PMD into a reliable process. That includes legacy modernization, pipeline cleanup, and rule tuning for regulated or long-lived systems.
What strong specialists deliver
A good PMD professional does more than run scans. They explain findings in plain language, align rules with the team’s coding style, and leave behind maintainable configuration. The best work makes PMD part of everyday delivery instead of a separate quality burden.
Frequently asked questions
Everything clients usually want to know about PMD, in one place.
PMD is used to find code smells, design issues, and other patterns that can make code harder to maintain. It is especially common in Java projects, but teams also use it in Apex and other codebases with clear style and structure rules. The goal is to catch problems early and keep reviews focused on real risks.
PMD focuses on broader code quality rules and maintainability concerns, while Checkstyle is usually stricter about formatting and style. SpotBugs is more about likely defects and bug patterns in compiled Java code. Many teams use all three together because they cover different parts of quality.
A company should bring in a PMD specialist when rules are noisy, reports are ignored, or the tool needs to fit into a build and review process. That is also common during legacy cleanup, pipeline changes, or when a shared ruleset is needed across teams. A freelancer can help make the setup practical instead of purely theoretical.
A strong PMD expert usually knows Java well, plus Maven or Gradle, CI pipelines, and code review workflows. Experience with refactoring, rule design, and other analysis tools such as SonarQube or Checkstyle is useful too. The best specialists can explain why a rule matters, not just how to configure it.
A small PMD task may only need someone who can read the code base and adjust a few rules. A larger rollout needs a specialist who can align quality checks with the architecture, release process, and team habits. The right level depends on how much history and complexity the code base has.
Yes, PMD work is often done remotely because it mainly involves code review, configuration, and pipeline changes. For teams in Germany, remote collaboration is common, but on-site sessions can help when several groups need the same ruleset or when a legacy code base is hard to untangle. Clear written communication matters either way.
Look for someone who can explain trade-offs in PMD rules, not just switch checks on. Good signs are clean configuration, fewer false positives, and reports that teams actually use. A strong specialist also leaves behind documentation that others can maintain without guesswork.
Yes, PMD can still add value even when SonarQube is in place. Some teams use PMD for specific custom rules or for a tighter focus on code smells and local standards. A good specialist will show whether PMD should stand alone, feed into SonarQube, or be used only for targeted checks.
The average hourly rate of freelancers in Germany who have used PMD in their recent projects is 99 €, which corresponds to a daily rate of about 795 € 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, 57% hold at least a Master's degree, and 29% hold a doctorate.
On average, freelancers in Germany who have used PMD in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 1.2 years.
The most common languages among freelancers in Germany who have used PMD in their recent projects are German (100%), English (90%), and Polish (20%).
The most common industries among freelancers in Germany who have used PMD in their recent projects are Information Technology (100%), Banking and Finance (80%), and Automotive (60%).
The most common business areas among freelancers in Germany who have used PMD in their recent projects are Information Technology (100%), Product Development (90%), and Project Management (70%).
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
