Model-Based Systems Engineering Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Model-Based Systems Engineering
Felix S.
Last position:
App Developer at XIXUM-Modeler
- Developing a model-based AI where natural language is interpreted as formal relations.
- Natural language terms are not considered rigid but fluid and can be negotiated in a context so meaning resolves by iteratively specifying.
- Develops all kinds of model solutions.
- Backed by natural language and data annotation.
- Requirements to code and other solutions.
Andreas W.
Last position:
Enterprise Architect at Own development / IP of CAMCO Engineering UG
UEF 3.0 · Semantic Government Overlay (SGO) · Autonomous Systems (UAS / dual use)
- Designed: Semantic Government Overlay (SGO) – AI-guided administration without replacing existing specialist procedures. Read-only semantic layer over registers and specialist processes based on the Federal Information Management (FIM). Decision authority remains with the case worker (architecture principle).
- Developed: Reference architecture with source-backed, derived statements (Executable Ontologies OWL/RDF/SHACL). Technically guaranteed purpose limitation and no-write-path principle in specialist data – auditable, without a central data pool.
- Anchored: Regulation as a design principle: EU AI Act (high-risk obligations for public-sector AI, fundamental rights impact assessment under Art. 27), GDPR, NIS2, and administrative automation limits (§ 35a VwVfG, § 31a SGB X) as technical control points in the architecture.
- Created: Methodical tool for pilot organizations: data pipeline assessment (phase 0), compliance blueprint, and management summary as a decision-ready package for public administration.
- Specified: UEF 3.0 as a successor architecture to TOGAF – decision paper, canonical ontology, six-layer architecture, read/actuate boundary, federation registry, terminology concordance, and release delta as a closed specification status.
- Architected: AI-native mission OS for autonomous UAS and ground robotics as a tactical layer on top of a separately approved autopilot. Run-time assurance according to ASTM F3269-21 (Simplex pattern): the verified safety controller keeps authority, the AI function provides suggestions.
- Designed: Three-tier architecture – Tier 0 autopilot with 650 Hz flight control on RTOS, Tier 1 AI OS with semantic world model and multi-agent cluster, Tier 2 swarm and ground mesh. Zenoh as the primary fabric, MAVLink as the only authenticated command path (single writer). Result: graceful degradation – loss of the mission, not of the aircraft.
- Secured: Two-gate chain on the read/actuate boundary – governance gate (can-question: AI Act risk class per actuation, enforced human oversight under Art. 14, immutable log) before the RTA safety monitor (is-it-correct question: flight envelope, geofence, energy reserve) with revert to the baseline controller.
- Anchored: Dual-use architecture with common core and build-time fork instead of runtime switch. Three separate legal levels: civil variant – UAS under the EASA Basic Regulation (EU) 2018/1139 with the limited applicability under Art. 2(2) of the AI Act, ground robotics under the Machinery Regulation 2023/1230 with the full high-risk obligation chain, Cyber Resilience Act for both; unarmed carrier variant as defense material under AWG/AWV and Dual-Use Regulation 2021/821 (BAFA approval); armed variant under KrWaffKontrG. Each variant lives under exactly one dominant legal regime. Evidence base: AI BOM, SBOM, and complete data lineage.
- Analyzed: System analysis and realignment of grown engineering system landscapes. Approach concept for consolidation without migration – semantic layer over the existing sources instead of data transfer. Result: decision-ready implementation concept including an evaluation model for the target architecture.
Thomas S.
Last position:
Automation Technology Lecturer at HWK Munich and Upper Bavaria
- Training professionals in PLC technology, pneumatics, control engineering, and KUKA robots
- Creating scripts for Siemens systems: STEP 5, STEP 7, TIA Portal, WinCC
- Creating scripts for pneumatics, control engineering, and KUKA robot programming
- Serving on the examination committee for quality assurance in vocational training
- Training and certifying over 500 professionals
Karlheinz W.
Last position:
Head of Systems Engineering ad Interim at Supplier of military energy systems
- Managing the Systems Engineering department with more than 30 employees in 3 teams
- Providing operational support in defining and implementing SE processes
- Analyzing existing approaches and identifying opportunities for improvement
- Planning resources and determining future staffing needs
- Preparing process and role descriptions
- Coordinating cooperation with other departments
- Planning and coordinating employee training (MBSE, RE, DOORS)
- Systematically developing objectives and templates for implementing efficient Requirement-Based Systems Engineering for new development projects
- Building and maintaining model structures in DOORS
- Creating the requirements management plan and user documentation
- Implementing special approaches using DXL
- Environment and applications: DOORS, Excel, Power BI
Paul B.
Last position:
Systems Engineer, Self-Driving Truck at TORC Europe GmbH
Christian S.
Last position:
Process Coach at Questax Professionals GmbH
- Consulting on the optimization of the system development process for MB.OS and introduction of MBSE on a central platform (25% increase in efficiency)
- Planning and conducting ASPICE assessments, analyzing the results, and creating a coaching strategy
- Training more than 10 project teams in systems engineering and software development methods
- Ensuring compliance with relevant development guidelines and processes
Adrian K.
Last position:
Freelance Management Consultant at PalmTree Kerber Consulting
- Designed and rolled out an architecture strategy, including training for over 200 employees
- Led the redesign of feature lifecycle management and the release process for an autonomous mobility company
- Created dashboards and C-level reports for a DAX-listed corporation to manage the development department
- Managed over 500 requirements for a software-defined vehicle
- Conceptually and technically evaluated future digital product portfolios of two vehicle platforms launching in 2026+, preparing 12 new features
- Developed a digital driving function, including establishing MBSE requirements management
Pierre-Jean A.
Last position:
Verification Engineer – Aviation at Tri.Merge GmbH
- Automated Python-based analysis of test script repositories
- Built a SQLite database for signal and value tracking
- Identified critical discrepancies with ad-hoc SQL queries
- Technologies: Python, SQLite, Excel/ODBC
Thomas A.
Last position:
Interim Management at Vincorion Power Systems GmbH
- Process and project management to optimize products and development processes for energy systems
- Technical risk management
- Requirements engineering and system architecture
- System FMEA of power generator units and energy storage modules aiming for generic structures
- Claims management according to Section 313 of the German Civil Code
- Regulatory environment: military and NATO standards, AQAP, VG norms
Raschid I.
Last position:
Requirements Engineer/Manager at CARIAD – Volkswagen Group AG
- Development of the unified CARIAD E3 2.0 software platform for future mobility
- Stakeholder management
- Synchronization and alignment with solutions (UX, security, data product & mobility services, architecture, software product, integration)
- Workshop and migration management
- Conducting risk matrix analyses
- Tool use: Jira, Confluence, Codebeamer
Harald M.
Last position:
MBSE Consultant for Cryptographic Devices
- Advising and coaching engineers and managers on system views, SysML, and related tools
Vaikunth S.
Last position:
Technology Consultant – Hydrogen Systems Engineering at Bashpa Energy Technology Solutions
- Consulting & strategic advisory in areas related systems engineering, infrastructure development, techno-economic feasibility, sector coupling and regulatory aspects of green hydrogen in India to evaluate integration and decarbonization opportunities.
- Developed data-driven models of renewable distributed energy resources (wind, solar and hydel) to evaluate the cost of green hydrogen production, distribution and application, aiming for commercial viability and affordability.
- Spearheaded the modelling of the Indian electricity grid and simulation of load balancing to estimate the short- and long-term energy market flexibility analysis to support energy trading and risk management for hydrogen assets.
- Leading AI-enabled software development to support decision-making and accelerate the adoption of a hydrogen economy in India.
Denis V.
Last position:
AUTOSAR Software Engineer at Pioneer R&D Europe
Successfully integrated the Vector Flash Bootloader (FBL) for both NXP and TI SoCs within the Ford FNV3 and FNV4 audio amplifier projects.
Achieved complete bootloader bring-up and ensured reliable operation, enabling secure and efficient firmware update capabilities.
Developed a valid approach for running the Vector FBL entirely from RAM on the TI SoC, addressing unique architectural and memory handling challenges.
Debugged and optimized NXP MCAL and TI MCAL configurations to ensure proper low-level hardware initialization.
Managed specific constraints of DDR-only bootloader execution on TI SoC, including memory mapping and execution flow.
Tools: Vector DaVinci Configurator, Vector CANoe
Languages: C, Python
Standards: AUTOSAR
Ould Aly I.
Last position:
Functional Safety Assessor at VW
- Pre-assessments and review of functional safety status for ADAS ECUs and body controller components
- Conduct functional safety audits
- Review the functional safety status of the E3 1.2 in a pre-assessment
- Document interviews
- Document findings and generate internal reports
Methods:
- ISO26262
- Automotive SPICE Level 2, 3
- Agile methods, SAFe
Tools:
- DOORS
- Enterprise Architect
- JIRA & Confluence
- IQ-FMEA
- Isograph
Ambra C.
Last position:
Head of Research Group | Software-driven Ecosystems and Marketplaces at Siemens Foundational Technologies
- Leading an international technology consulting team of 10 software architects, modelers and researchers, developing and aligning team skills with Siemens goals related to software ecosystems and marketplaces
- Defined team strategy roadmap, consulting offerings and team development from scratch
- Responsible for €2M+ budget in BU consulting, pre-development and applied research projects
- Led the global Company Core Technologies program “Ecosystems and Marketplace Technologies” aiming at cross-company synergies in research and pre-development around software ecosystems evolution methods and practices
- Developed methods and tools to support holistic digital ecosystem transformation in industry
- Drove collaboration with academia with focus on emergent technologies for systems engineering and platform-based ecosystems design
- Facilitated innovation and patent workshops with cross-functional teams resulting in approximately 25 invention disclosures per year
Discover over 15,000 top freelancers
Statistics of experts using Model-Based Systems Engineering
Aggregated from the professional profiles of matched freelancers.
Experience
26 years
Position duration
4 years
Positions per freelancer
13
Top business areas
Product Development, Quality Assurance, Information Technology
Top industries
Automotive, Manufacturing, Aerospace and Defense
Certification focus areas
Product Development, Project Management, Quality Assurance
Bachelor's degree or higher
94%
Master's degree or higher
75%
Doctorate
19%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
94%
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 Model-Based Systems Engineering
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.
Model-Based Systems Engineering experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Automotive (94%)
- Manufacturing (82%)
- Aerospace and Defense (59%)
- Information Technology (53%)
- Education (41%)
- Energy (29%)
- Healthcare (29%)
- Telecommunication (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Systems Thinking
Model-Based Systems Engineering, commonly called MBSE, uses structured models as the central source for describing a system. Instead of relying mainly on disconnected documents, teams connect requirements, functions, interfaces, behavior and physical structure in a consistent model. This supports complex products from early concept through validation and lifecycle changes.
What MBSE Builds
MBSE is used for systems with many interacting components, stakeholders and constraints. Typical applications include:
- Aircraft, spacecraft and defense systems
- Automotive and rail platforms
- Medical devices and industrial equipment
- Energy, robotics and connected products
The approach helps teams explore alternatives before implementation and trace decisions across the product lifecycle.
Models and Tooling
Strong MBSE specialists work with modeling languages and repositories suited to the project. SysML is common for requirements, structure, activity, state and parametric views, while SysML v2 is gaining attention for more precise, reusable models. Tools may include Cameo Systems Modeler, Capella, Enterprise Architect, MATLAB and Simulink, along with requirements tools such as IBM DOORS Next.
When to Bring Expertise
Companies often need freelance MBSE expertise when a program is moving from document-heavy systems work to an integrated model, or when an existing model needs structure and governance. Common signals include:
- Requirements cannot be traced to verification activities
- Interfaces are changing across disciplines
- Teams use different system views with no shared baseline
- A new modeling tool or method must be introduced
In Germany, specialists may support regulated automotive, aerospace, rail and industrial programs remotely or in close collaboration with on-site teams.
Connected Skills
MBSE rarely stands alone. Useful adjacent expertise includes systems architecture, requirements engineering, functional analysis, interface management, safety engineering, verification planning and configuration management. Familiarity with agile systems development, digital thread concepts, simulation and product lifecycle processes can also strengthen delivery.
The right professional adapts the modeling method to the organization instead of producing diagrams without a clear purpose. They establish conventions, model ownership, review practices and links to engineering evidence.
Quality Markers
Assess specialists by asking how they turn stakeholder needs into testable requirements and how they keep models usable as the system changes. Strong professionals explain trade-offs, define clear viewpoints and connect model elements to decisions, analyses and verification results.
They should be able to show practical outcomes such as a governed system model, a traceability structure, an interface baseline or a verification workflow. For distributed teams, clear communication in English and, where needed, German helps keep workshops and reviews productive.
Frequently asked questions
Key details about Model-Based Systems Engineering, drawn from the questions we get asked most.
Model-Based Systems Engineering is used to describe, analyze and manage complex systems through connected models. It links requirements, architecture, behavior, interfaces and verification so teams can identify conflicts earlier and maintain traceability as the system evolves.
MBSE makes the system model a structured source that can connect multiple views and support consistency checks. Document-based work can still be appropriate for formal records, but isolated documents make dependencies and change impacts harder to see.
A capable MBSE specialist may work with SysML, SysML v2, Cameo Systems Modeler, Capella or Enterprise Architect. Depending on the project, useful tool knowledge also includes MATLAB and Simulink, IBM DOORS Next, configuration management and links to simulation or lifecycle systems.
A strong Model-Based Systems Engineering professional usually understands requirements engineering, systems architecture, interface definition and verification planning. Safety analysis, functional modeling, simulation, product lifecycle processes and configuration management are also valuable when the system is regulated or highly integrated.
The right level depends on the scope, toolchain and maturity of the organization. A focused modeling task may need a specialist who can work within an established method, while a transformation needs someone who can define governance, train teams and connect MBSE with existing engineering processes.
MBSE work can often be delivered remotely through shared repositories, structured reviews and online workshops. On-site sessions are useful for stakeholder discovery, architecture alignment and tool adoption, while language expectations should be agreed early for German-speaking programs.
Review whether the model answers real engineering questions rather than simply containing many diagrams. A quality MBSE deliverable has clear viewpoints, defined ownership, traceable requirements, consistent interfaces and links to verification evidence.
Before starting Model-Based Systems Engineering work, clarify the system boundary, stakeholders, required viewpoints, modeling language, repository, tool versions and expected deliverables. It is also important to understand existing requirements, review rules, access constraints and how the model will support decisions after handover.
The average hourly rate of freelancers in Germany who have used Model-Based Systems Engineering in their recent projects is 119 €, which corresponds to a daily rate of about 951 € based on an 8-hour working day.
Of the freelancers in Germany who have used Model-Based Systems Engineering in their recent projects, 94% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 19% hold a doctorate.
On average, freelancers in Germany who have used Model-Based Systems Engineering in their recent projects have 26 years of professional experience, with a single engagement typically lasting around 4 years.
The most common languages among freelancers in Germany who have used Model-Based Systems Engineering in their recent projects are German (100%), English (88%), and Spanish (24%).
The most common industries among freelancers in Germany who have used Model-Based Systems Engineering in their recent projects are Automotive (94%), Manufacturing (82%), and Aerospace and Defense (59%).
The most common business areas among freelancers in Germany who have used Model-Based Systems Engineering in their recent projects are Product Development (100%), Quality Assurance (94%), and Information Technology (76%).
Main locations of FRATCH Experts, who have recently used Model-Based Systems Engineering
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
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FRATCH CEO
