DMN Experts in Germany
to model business decisions with vetted freelancers matched by AIHire experts who turn complex policies into clear decision models, connect DMN with BPMN and FEEL, and deliver maintainable decision services. Get fast, precise matches with vetted and available freelancers for your project.
Meet FRATCH Experts in Germany, who have recently used DMN
Wolfgang T.
Last position:
Overall Project Manager at itzbund
Project overview: The use of “Generative Pretrained Transformer” (GPT) technologies will greatly change the world of work in the coming years. ITZBund is developing a basic service for this purpose, which can be used by its 200 customers. This basic service is offered both on-premises and in the cloud. Launched in 12/23, production systems (based on the MVP) had already been successfully rolled out and operated for several authorities and federal ministries by 05/24.
Project metrics:
- 2024 budget approx. 20 Mio €
- approx. 70 people directly involved in the project
- regular (indirect) contact with approx. 80 people in the wider project environment
My main responsibilities:
- Overall responsibility as external project manager
- Project definition phase/ Project setup and establishment of the project organization
- Strategic and operational project planning, as well as project design and ongoing adjustments
- Ongoing coordination with the project owner and stakeholders at ITZBund
- Ongoing coordination with sub-project managers, agile roles, and other project team members
- Responsibility for project controlling, quality management, risk management, and change management
- Responsibility for providing the basic service in on-premises and cloud environments and its ongoing development
- Planning and leading several hypercare phases
- Collaboration and ongoing coordination with a federal ministry partner project and delivery of an MVP
- Coordination with the agile teams
- Coordination with operations, release, and deployment
- Responsibility for delivering initial customer projects
- Responsibility for developing AI governance
- Ensuring accessibility (BITV)
- Responsibility for setting up a sub-project for marketing activities
- Support in setting up an efficient proposal process
- Stakeholder management
Approach:
- V-Modell XT ITZBund
- Scrum
Tools used:
- Microsoft Office, Skype, MS Project, Confluence, Jira, Sharepoint, Miro
Will O.
Last position:
Solution Architect at Polizei Behörde Stuttgart
Designed a migration strategy for WLS applications to BKA Cloud and Stack IT
Created a hybrid cloud for internal testing and development with Kubernetes
Transformed the IT landscape from an outdated monolithic architecture to a cloud-based architecture
Integrated new CI/CD processes using Azure Pipelines
Quadrupled the processing throughput for personnel security checks
Migrated personnel security screening applications to Docker-based applications
Implemented CI/deployment pipelines using Azure DevOps
Environment: Java Springboot, Kubernetes, Oracle Weblogic, OpenID, Camunda, JUnit, TOGAF
Ron S.
Last position:
AI System Architect & Developer at ConteQ AI
- Development of a SaaS application for automated claims handling with AI agents (LLM) as the primary development team
- Design & testing of efficient and secure context management setups in the development process (including multi-sub-agent use, memory systems, caching)
- Definition and implementation of LLMOps pipelines with Azure AI Foundry for AI agents in customer contact (including versioning, logging, audit trail, security tests)
- Infrastructure provisioning via IaC (Bicep), application configuration via GitOps-based CI/CD pipelines (rules engine, workflow engine)
- Development of integrated security architecture designs between AI-based & classic applications with a special focus on regulatory requirements
- Integration of workflow and rules engine in a NestJS service architecture — for automated, rule-based control of claims processes
- Probabilistic extraction and preparation of claims data as the basis for rule-based, deterministic decision logic — traceable, auditable, and regulatorily compliant
Maciej S.
Last position:
Product Owner at Bundesagentur für Arbeit
- As part of the project, the further development of the identity management system was driven forward. This included a comprehensive refactoring of the interfaces to the connected target systems. In addition, several special systems were successfully connected to the IAM to ensure end-to-end identity and authorization management.
- Technical design and solution proposals for IAM system development
- Requirements analysis and requirements management (IREB, BABOK)
- Alignment of the strategy with the future target architecture (TOGAF)
- Prototyping of solutions
- Documentation of requirements (Innovator)
- Analysis and documentation of requirements and creation of process models (UML, BPMN, ArchiMate)
- Modeling of requirements and system functionalities (OOA/OOD, UML)
- Further development of interfaces (SOAP, REST)
- Carrying out architecture reviews
Alexander S.
Last position:
AI Consultant for AI Voice Bot System at Rudolf Hörmann GmbH & Co.KG
- Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
- On-premise AI solutions with high compliance and performance requirements.
- Architecture decisions, operational setup, strategic prioritization & deployment.
- Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
- Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.
Antje B.
Last position:
AI Strategy Consultant, Change Manager at SMEs (various marketing boutiques, IT & office services)
AI Strategy & Enablement for SMEs Management consulting – SMEs (e.g. marketing boutique, IT & office services)
Concept and delivery of structured AI introduction and strategy workshops for small and medium-sized businesses. Result: Practical AI status assessment, prioritized use case list, and management decision template as the basis for the next steps in the company’s AI development.
Activities
- Needs analysis and individual preparation of the consulting formats
- Facilitation of a structured AI status assessment including vision, mission, and target picture
- Identification and prioritization of relevant AI use cases and action fields
- Creation of management decision templates and roadmaps
- Raising awareness for opportunities, risks, and success factors of AI introduction
- Support for first customers with AI-supported automation scenarios
- Supporting people and teams through the change process of AI introduction (CM)
Methods / Tools / Technologies
Methods:
- AI status assessment & use case analysis
- Workshop moderation / facilitation
- Requirement Management
- Change Management (PROSCI)
Tools:
- Generative AI tools (e.g. ChatGPT, Claude)
- Automation/AI coding tools (e.g. n8n, Claude Code, Visual Studio, Antigravity)
Technologies:
- Prompt engineering
- AI workflow automation
Selvaraj K.
Last position:
Senior Full Stack & Cloud Architect at HCLTech
- Led end-to-end implementation of the Miles and More Credit Card Service integrating with TSYS systems on Microsoft Azure
- Architected secure, scalable APIs and microservices using Spring Boot, Camunda, and Apache Kafka (Confluent Platform) for real-time event streaming and process automation on Azure Kubernetes Service
- Managed full development lifecycle of the credit card system on Azure Cloud including fraud detection, payment processing, account management, and Kafka-based event-driven data pipelines
- Designed and implemented Kafka Connect integrations and Schema Registry for seamless data flow between microservices and legacy systems
- Introduced Agile best practices, improving team efficiency by 30% and reducing project delivery time
- Directed and mentored a team of 15+ developers fostering a collaborative, cloud-first, and innovation-driven culture
- Managed client relationships achieving 95% satisfaction and securing follow-up projects through consistent delivery excellence
- Designed and deployed BPMN/DMN models in Camunda for complex business workflows and automation
- Configured Camunda Engine with advanced features such as error handling, RPA integration, and multi-version deployments
- Integrated Camunda and Kafka-based messaging with core banking systems ensuring high availability and data consistency
- Managed multi-database schema configurations on Azure and optimized system performance for high throughput and fault tolerance
- Designed and implemented cloud architecture patterns on Azure focusing on multi-region resilience, data sovereignty, and event-driven scalability for critical financial workloads
Hüseyin K.
Last position:
Senior Full-Stack Engineer at DVAG
Architecture and implementation of a fully digitalized closing flow for managing securities contracts within the DVAG infrastructure. The platform aims for maximum user-friendliness, modular extensibility and compliant handling of sensitive data.
Implementation of a reactive UI structure with a focus on user guidance & accessibility.
Dynamic control of form and closing processes including validation logic.
Reactive state management via SignalStore (signals + selective effects).
UX optimization through adaptive components and Playwright-based UI tests.
Backend modularization to connect existing sales and contract logic.
API stability and DTO design according to Clean Architecture principles.
Collaboration with domain teams to define technical contracts and service boundaries.
Management with GitHub.
Unit tests with Jest, E2E tests with Playwright.
Code reviews, CI-integrated test execution, iterative refactorings.
Ensuring high coverage and UI stability in the closing flow.
Technologies: Angular 18, RxJS, SignalStore, HTML5, SCSS, Spring Boot, Kotlin, REST, OAuth2, Jest, Playwright, Clean Architecture.
Matthias L.
Last position:
Typescript Fullstack Engineer at Card Complete / Bank Austria
- Designed and developed the "Credit Risk Engine" using Camunda, Node.js and Typescript
- Greenfield project for credit card credit assessment for existing and new customers, including EBA KPIs, SCHUFA and CRIF scorings
- Built and modeled workflows (BPMN) and decision logic (DMN) with Camunda Modeler in close collaboration with stakeholders
- Implemented service tasks, user tasks and jobs with Nest.js, Node.js and Typescript, including exception handling
- Backend-for-Frontend (BFF), frontend with React, Tailwind and Ant Design UI library
- CI/CD with GitLab, Kubernetes/Rancher
Mohamed K.
Last position:
Interim Senior Camunda & BPMN Consultant, Spring Boot & Java Backend Developer at GEMA/IT4IPM GmbH
- Subject matter expert for the client on modeling and developing Camunda BPMN 2.0
- Development of new features and APIs, and coordination of tasks
- Design and development of RESTful APIs with Swagger (code first)
- Creation of target designs, high-level concepts, and requirement specifications
- Analysis and evaluation of alternative solution approaches
- Integration of external IT systems (ANUBIS, SES, ZPS) via Google GCP Pub/Sub and RESTful web services
- Pair programming, code reviews, and collaboration with API product owners
- Consulting on transforming legacy BPMN workflows and configuring Camunda BPM
- BPMN and DMN modeling and implementation in short iterations
- Operational support, bug fixing, and knowledge documentation
- Use of TDD, static code analysis with SonarQube, and integration tests
- Automation of test cases in Java and analysis of stack traces/logs on GCP-PROD
- Identification and execution of test data and documentation of test results
Andreas L.
Last position:
Founder at Genloop
- Development of an Eclipse-based UML modeling and code generation platform
Discover over 15,000 top freelancers
Statistics of experts using DMN
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
2.1 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
80%
Master's degree or higher
60%
Certifications per freelancer
4
Most common languages
German, English, Spanish
Speak two or more languages
91%
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 DMN
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.
DMN 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 (82%)
- Automotive (55%)
- Transportation (45%)
- Government and Administration (45%)
- Telecommunication (45%)
- Insurance (36%)
- Manufacturing (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Decision logic made explicit
DMN, short for Decision Model and Notation, is a standard for describing repeatable business decisions in a visual and executable form. It separates decision requirements from implementation details, helping teams explain how policies, rules and data lead to an outcome. Companies use DMN for eligibility checks, pricing logic, risk assessments, approvals and compliance workflows.
Core notation and models
DMN combines decision requirements diagrams with decision tables, literal expressions and boxed expressions. Decision tables show inputs, rules, hit policies and outputs in a format that business stakeholders can review. The Friendly Enough Expression Language, or FEEL, provides a readable way to express conditions, calculations and data transformations.
- Map decisions, knowledge sources and required inputs
- Define reusable business knowledge models
- Set hit policies and rule priorities
- Test outcomes against representative cases
Ecosystem and integration
DMN often works alongside BPMN for process orchestration and CMMN for case management. Common execution environments include Camunda, Drools and other conformant decision engines, with integrations through REST services, Java or .NET applications and workflow platforms. Strong specialists also understand version control, automated testing, deployment pipelines and the data contracts around a decision service.
When companies need specialists
Freelance expertise becomes valuable when decision logic is spread across documents, application code and spreadsheets, or when several teams interpret the same policy differently. Specialists can extract rules from subject-matter experts, model dependencies, migrate hard-coded logic and establish governance for changes. In Germany, this work often supports regulated industries, insurance, banking, manufacturing and public services, with remote collaboration complemented by on-site workshops when policy alignment requires it.
- Replace duplicated rules in application code
- Prepare a decision service for production use
- Improve traceability for audits and policy changes
- Align business and technical teams on one model
What strong professionals deliver
Experienced DMN professionals ask whether a decision should be automated before they model it. They clarify terminology, define complete input data, handle missing and conflicting values, and choose hit policies that match the business intent. Their deliverables can include decision requirements diagrams, tested decision tables, FEEL expressions, documentation, integration guidance and a controlled change process.
Evaluating project quality
A reliable DMN implementation is understandable to business reviewers and predictable at runtime. Look for explicit requirements, meaningful test cases, traceable rule changes and clear ownership of decision knowledge. Candidates should be able to show how they worked with BPMN or a decision engine, explain trade-offs between executable and descriptive models, and communicate clearly in the language required by stakeholders in Germany.
Frequently asked questions
Quick answers to the questions that come up most around DMN.
DMN is used to represent and execute repeatable business decisions such as credit eligibility, insurance claims, routing, pricing and compliance checks. It makes the logic reviewable by business stakeholders while allowing an execution engine to apply the rules consistently.
DMN focuses on the decision logic inside or around a process, while BPMN describes the sequence of activities, events and interactions. They work well together: BPMN can call a DMN decision service at the point where a process needs a rule-based outcome.
DMN work benefits from knowledge of BPMN, FEEL, business rule management and the chosen decision engine, such as Camunda or Drools. Strong specialists also understand APIs, data mapping, automated tests, version control and workshops with subject-matter experts.
DMN projects need enough practical experience to uncover hidden assumptions, select suitable hit policies and test edge cases. The right level depends on scope: a small decision table may need focused modeling support, while a regulated decision service requires governance, integration and production delivery skills.
DMN models can be created and reviewed remotely with shared repositories, workshops and structured rule reviews. On-site sessions can still help when policies are disputed or many German-speaking stakeholders must agree on terminology and outcomes.
DMN is a strong choice when rules change frequently, require business review or must be traceable across several applications. Custom code may be more suitable for algorithmic processing, complex stateful behavior or logic that is not naturally expressed as business decisions.
DMN quality is visible in clear decision requirements, unambiguous inputs, appropriate hit policies and tests that cover normal, boundary and conflicting cases. Reviewers should also check whether a business user can understand the model and whether every change can be traced and deployed safely.
DMN specialists should clarify the decisions in scope, authoritative data sources, rule ownership, execution environment and expected outputs. They should also ask how policies are approved, how exceptions are handled and whether the result must be descriptive, executable or integrated into an existing BPMN workflow.
The average hourly rate of freelancers in Germany who have used DMN in their recent projects is 98 €, which corresponds to a daily rate of about 783 € based on an 8-hour working day.
Of the freelancers in Germany who have used DMN in their recent projects, 80% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers in Germany who have used DMN in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Germany who have used DMN in their recent projects are German (100%), English (82%), and Spanish (18%).
The most common industries among freelancers in Germany who have used DMN in their recent projects are Information Technology (100%), Banking and Finance (82%), and Automotive (55%).
The most common business areas among freelancers in Germany who have used DMN in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (82%).
Main locations of FRATCH Experts, who have recently used DMN
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
