MQTT Experts
to connect devices faster with vetted, available freelancers matched by AIHire experts who design MQTT messaging, connect IoT devices, and integrate brokers such as Mosquitto or EMQX. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts who have recently used MQTT
Michael F.
Last position:
Platform Architect (Project lead) at Würth IT
I designed and built a self-service AWS platform for Data Science teams with little or no infrastructure-as-code experience. A team writes about 10 lines of Python and gets a deployable stack with full SDLC release cycle that already follows the governance rules. Networking, encryption, IAM and tagging are decided by the platform, not by each team.
New teams or AWS accounts are onboarded with one pull request. Waste prevention and cost control is built into the defaults: Data scientists don't need infrastructure skills.
- Construct library (AWS CDK, Python). Built a versioned catalog of about 20 hardened constructs for being used in data-science projects with ML context
- Governance as code
- Multi-account, multi-tenant
- Golden-path scaffolding
- CI/CD and supply chain. Built reusable GitHub Actions workflows
- Release engineering
- QA with e2e, contract testing and unit test coverage with each release candidate
Yusuf C.
Last position:
Senior Software Engineer at LeiKon GmbH
- Development of scalable backend applications with C#/.NET and Java
- Design and implementation of distributed microservice architectures
- Development and integration of REST APIs for industrial applications
- Development of modern web applications with React, Angular, and TypeScript
- Implementation of MQTT-based communication solutions
- Integration of industrial protocols such as OPC UA and Modbus TCP
- Development of batch, process control, and HMI components
- Containerization and deployment of applications with Docker
- Conducting code reviews and supporting architecture decisions
- Close collaboration with Product Owners, QA, and interdisciplinary teams
- Analysis of business requirements and implementation of technical solutions
- Further development of existing software architectures with a focus on maintainability and performance
Technologies: C#, .NET, ASP.NET Core, Java, C++, React, Angular, TypeScript, Vue.JS, MQTT, OPC UA, Modbus TCP, Docker, GitLab, MariaDB, MySQL, Linux
Jens R.
Last position:
Platform Architect & Senior Developer at Direct client, industrial measurement technology, medium-sized company
- Technical leadership across hardware, firmware, and software teams; scope: hardware/firmware team (4 people) and leadership group (5 people)
- Consolidated and documented a product family that had grown over more than 15 years and aligned it with CRA compliance — from the bare-metal I/O module to the cloud interface.
- Provided the most important customer product with the essential requirements and architecture documentation within two months — for a firmware landscape that had grown over more than 15 years. It now supports the customer’s modernization strategy.
- Established a monthly reporting line to the supervisory board and executive board within three months: nine meetings since 12/2025. The report itself is versioned and built from the CI pipeline; it is based on automatically collected activity and release data instead of assessments.
- Built a container-based CI/CD infrastructure from scratch: cross-compilation, host tests, and documentation builds in one continuous pipeline.
- Introduced declarative QA gates for DevOps and development artifacts — from the start using lefthook instead of pre-commit, executed in a dedicated container image.
Technologies used: arc42, req42, tpo42, docToolchain, PlantUML, ArchiMate, C4 model, ADR, C, C++ (GTest), CMake, Bare Metal (ARM Cortex-M3/M7), OCI containers, Jenkins, lefthook, Prometheus, Grafana, SBOM, CRA, OPC, SCADA, PLC integration, IPv6 migration, Zero Trust, Sociocracy 3.0, Cynefin
Prasad T.
Last position:
Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA
- Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
- Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
- Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
- Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
- Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
- Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
- Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Matthias S.
Last position:
Software Developer and Consultant at CLADE GmbH
- Analysis of the existing CAN communication between microcontrollers
- Analysis of the sensors used and the measured values collected
- Planning the CAN messages for transmitting the measured values
- Iterative adjustment of the microcontroller code to the new CAN messages
- Cross-compilation from x64 to arm64
Martin W.
Last position:
Smart Manufacturing & Production Improvement Implementation at Food & Process Manufacturing
- Identified operational improvement opportunities together with production, engineering and management teams.
- Prioritized use cases according to measurable operational value rather than technology availability.
- Developed solutions around production performance, OEE, quality, traceability, reporting and process transparency.
- Translated operational requirements into required machine data, interfaces, information models and application requirements.
- Defined target architectures and integration approaches for heterogeneous brownfield production environments.
- Moved prioritized use cases from workshop and concept stages into concrete implementation projects.
- Coordinated manufacturing, OT, IT and technology stakeholders during implementation.
- Established reusable approaches to scale successful solutions beyond individual machines or pilot areas.
Burhan D.
Last position:
Enterprise Architect & Solution Architect at DB Netz AG
With project PRIZMA, DB will modernize its infrastructure on the one hand, and develop a fail-safe IT landscape on the other hand, which can be restored quickly and securely in case of a disaster.
- Capture current architectures of existing systems as well as methodical consulting and development of target architectures
- Deepen and maintain the building plan / target IT landscape
- Implement technical architecture concepts & architecture descriptions
- Implement migration concepts for updating and further developing the platform and information systems
- Assess submitted improvement suggestions as part of the project
- Capability management: identify capability gaps, develop target visions, and support transformation planning within the enterprise architecture.
- Create a compatibility matrix of the components in use and compare dependencies of specific versions
- Create an IT concept for extending the platform with the following topics: hardware and software requirements, security, licensing, high availability, load balancing, backup & recovery, update strategy, monitoring integration, etc.
- Coordinate with business architects as well as technical architects from the cross-functional architecture area of the PRISMA program for the topics (backup, Active Directory, monitoring, Citrix, and business applications ...)
- Status meetings and alignment of project planning with the Release Train Engineer / Project Manager
- Advise the Release Train Engineer / Project Manager in identifying project risks
- Advise the System Architect Engineers in steering the implementation of the concept
- Implement the IT concept
- Document the infrastructure
Label: MS Project, LINUX, Windows, ORACLE, Java, REST, SharePoint, Microsoft Exchange, UML, Enterprise Architect, BPMN, AZURE, AWS, V-MODEL, Micro Service, VisualStudio, SAP S/4HANA, SCRUM(SAFE), ESB (TIBCO), Python, Innovator, LeanIX (TOGAF), Ansible, Ansible Tower, Ansible Automation, ROBOT, SpringBoot
Martin H.
Last position:
Lead Product Owner at Energy
- Team leadership: Prioritization and coordination of four cross-functional teams.
- Platform strategy: Development and implementation of strategies to optimize existing IT platforms.
- Stakeholder management: Active management of expectations and communication with internal and external stakeholders.
- Program and innovation management: Prioritization and coordination of cross-department projects as well as innovation initiatives.
- Product Owner consulting: Advising Product Owners with a focus on product development and continuous product improvement.
- Organizational development: Improving communication and decision-making structures across all organizational levels.
- Change management: Implementing best-practice change management methods to ensure continuous optimization and innovation.
- Quality assurance: Ensuring high quality standards in processes, services, and deliverables.
Jorge M.
Last position:
Technical Lead / Fractional CTO at Würth GmbH
I designed and developed an AI-powered multi-tenant platform on Azure that transforms SAP process recordings into technical documentation, presentations and automated tests, processing over 15,000 process recordings for enterprise customers like Würth. I owned the architecture, the production releases and the DevOps setup. I also designed a multi-tenant system with SSO and role-based access on Azure. Implemented an MCP Server with Dynamic OAuth Authentication.
Main Tasks:
- Sprint planning and feature preparation
- Design the multi-tenant platform architecture (FastAPI, SQLAlchemy, PostgreSQL row-level security for tenant isolation)
- Develop AI pipelines with Prefect for transcription (Azure Speech API), document generation and SAP screen-recording analysis (Claude, gpt-4-mini)
- Design and implement an MCP server to expose tenant knowledge to LLM clients (Claude), with async retrieval and reranking
- Implement LLM cost tracking, rate limiting and client pooling for Anthropic/OpenAI/Azure OpenAI endpoints
- Set up CI/CD: Docker images to Azure Container Registry, GitHub Actions, Azure Static Web Apps, Alembic migrations in containers
- Manage production releases and execute live data migrations for enterprise customers
- Define engineering standards and architecture patterns for the team
Environment: Azure / Azure Foundry / Python / FastAPI / Prefect / React / PostgreSQL
Giuseppe A.
Last position:
Embedded Software Developer at Inheco
- AI Integration (LLM & RAG): Design and build of an internal intelligent RAG system (Retrieval-Augmented Generation) based on LLMs, n8n, and vector data for the automated analysis of technical documents and error logs.
- Design & Implementation: Design of a robust RS-232/UART communication interface for an SBC-based embedded device to control medical shaker systems.
- Architecture & Protocol Design: Implementation of a highly maintainable software structure (OOP, SOLID) and definition of hardware-close, resilient communication protocols including multithreading and advanced error handling.
- Quality Assurance & DevOps: Test automation using xUnit, integration tests directly on the hardware target, and maintenance of technical documentation according to strict medical technology standards via Azure DevOps.
Label: C#, .NET, LLMs, RAG, n8n, RS-232, UART, Multithreading, async/await, xUnit, gRPC/protobuf, Blazor, MudBlazor, EF Core, Visual Studio 2026, Azure DevOps
Fabian C.
Last position:
Senior GIS Developer at Transport & Logistics
Development of a route planner for incident communication.
- Development of the REST API
- Set up a patch system for maintaining the routing graph
- Expansion of the testing infrastructure
- Performance and memory optimization (JMeter, JFR)
Technologies: Java 21, Spring Boot, JGraphT, Flyway, MapStruct, Caffeine, ShedLock, JMeter, Kubernetes, JFR
Philipp D.
Last position:
IT Architect & IT Product Manager at Dr. Ing. h.c. F. Porsche AG
- Optimization of software lifecycle processes for SAP platform apps (BTP CAP)
- Development of template MCP servers for S/4 CALM systems of Porsche AI (BTP)
- Design, development, and IT product management for two MS CoPilot custom agents supporting SAP systems (incl. MCP integration)
- Lead Center of Practice: AI-assisted ABAP development
- Initiation and coordination of the proof of concept implementation of conduct.ai
- Advising application teams on software and integration architecture, clean core principles and implementation, as well as AI use on the SAP platform
Jozsef F.
Last position:
Project management for the installation and commissioning of robotics and automation systems at Amazon
- Management of on-site projects
- Coordination of various stakeholders (Operations, IT, Maintenance, suppliers, service providers)
- Management of technicians and external contractors
- Planning of resources, schedules, and budgets
- Quality, risk, and safety management
- Conducting daily status meetings
- Escalation management and problem-solving
- Maintenance of project tracking, ticket systems, and KPI dashboards
- Material and spare parts management
- Preparation of reports and project status updates
Environment: Infrastructure, logistics
Muhammad J.
Last position:
Embedded Linux Intern – IoT Sensor Prototype Development at DHL
- Built a modular C++ 20 embedded Linux acquisition system on a Raspberry Pi, synchronizing IMU and dual-camera data streams to sub-millisecond accuracy.
- Integrated retro-reflective and contrast sensors to trigger acquisition and detect gaps between sorter rails.
- Implemented SPI & I2C sensor communication, GPIO interrupt handling with libgpiod, and CSV & JSON output.
- Designed a multi-threaded acquisition pipeline and an SPSC queue between acquisition and writer threads.
- Built a Python/HTML/CSS based web-server and validated the prototype in a DHL warehouse for defect detection.
- Documented software behavior, configuration, and results for maintainable handover and further development.
Stefan K.
Last position:
C# .NET/WPF Developer at Hessische Zentrale für Datenverarbeitung
- Redevelopment of outdated software used in Hessian schools in C# .NET/WPF
- Understanding and analysis of old Delphi and Visual Basic 6 source code
- Use of Visual Studio 2022 as IDE
- Team collaboration through pull requests and version control with Git/SourceTree
- Project management with proprietary wiki software and Open Project
- TechStack: C#, .NET 8.0, WPF, Visual Studio 22, Delphi, Visual Basic 6, LDAP, Active Directory, FTP, SMB, Git, SourceTree
- Workflow: pull requests, Open Project, weeklies, weekly meetings, dynamic communication
Discover over 15,000 top freelancers
Statistics of experts using MQTT
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
3.2 years
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Manufacturing, Automotive
Certification focus areas
Information Technology, Product Development, Quality Assurance
Bachelor's degree or higher
88%
Master's degree or higher
62%
Doctorate
6%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
99%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology 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 using MQTT
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 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
MQTT 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 (91%)
- Manufacturing (70%)
- Automotive (58%)
- Education (37%)
- Healthcare (37%)
- Energy (33%)
- Banking and Finance (32%)
- Transportation (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Connected messaging
MQTT, short for Message Queuing Telemetry Transport, is a lightweight publish-subscribe protocol for sending messages between devices, applications, and services. It works well on unreliable networks because clients maintain compact connections and exchange only the data they need. Topics separate message streams, while brokers route messages between publishers and subscribers.
IoT systems
MQTT is used where sensors, machines, gateways, and cloud services must exchange events continuously. Typical projects include industrial monitoring, smart buildings, fleet telemetry, energy systems, connected products, and remote equipment control.
- Connect sensors and edge devices
- Stream telemetry to cloud services
- Trigger commands through topic subscriptions
- Build device status and alerting flows
Brokers and tooling
A complete MQTT solution depends on more than client connections. Specialists work with brokers such as Eclipse Mosquitto, EMQX, HiveMQ, and AWS IoT Core, then connect them to databases, event pipelines, and application services. They may use MQTT 3.1.1 or MQTT 5 features such as shared subscriptions, retained messages, session expiry, and reason codes.
Delivery and security
Projects require careful decisions about quality of service, retained messages, persistent sessions, topic design, and payload formats. Strong implementations protect connections with TLS, authenticate devices, restrict topic access with permissions, and handle reconnects without creating duplicate or lost actions. Monitoring should expose broker health, client activity, message flow, and delivery failures.
When expertise helps
Companies often bring in freelance MQTT specialists when a proof of concept must become a dependable production system, or when device fleets outgrow an informal broker setup. Expertise is also valuable during broker migration, cloud integration, protocol modernization, and investigations into delayed or duplicated messages.
- Define a scalable topic and payload strategy
- Select and configure the right broker
- Connect MQTT with APIs, databases, or stream platforms
- Test device behavior under network interruptions
What strong specialists know
Experienced professionals understand both protocol details and the systems around them. They can explain trade-offs between MQTT, HTTP, WebSockets, and other event transports, while adapting designs to bandwidth, latency, device constraints, and operational risk. They document contracts clearly, test failure paths, and leave teams with observable, maintainable integrations.
Frequently asked questions
Questions about MQTT? Start with the answers below.
MQTT is used to exchange lightweight messages between devices, gateways, applications, and cloud services. It is common in IoT systems that collect telemetry, publish alerts, or send commands over networks that may be slow or unreliable.
MQTT uses a broker and publish-subscribe communication, while HTTP commonly relies on direct request-and-response calls. MQTT can reduce connection overhead for frequent device messages, whereas HTTP may be simpler for conventional APIs and one-off requests.
A strong MQTT freelancer should understand broker administration, embedded or edge computing, cloud IoT services, networking, and security. Useful adjacent experience includes TLS, certificate management, Docker, Kubernetes, REST APIs, stream processing, and time-series databases.
The required depth depends on the system’s scale and risk rather than on the protocol alone. A small prototype may need focused client and broker configuration, while a production fleet requires expertise in topic design, permissions, session behavior, observability, testing, and recovery from network failure.
Yes, much of an MQTT project can be delivered remotely through source control, cloud environments, broker dashboards, and recorded device tests. On-site work can still help when specialists must install gateways, inspect industrial equipment, or troubleshoot connectivity in a physical environment.
The right MQTT broker depends on deployment model, operational requirements, clustering needs, security controls, and integration targets. Eclipse Mosquitto can suit a focused lightweight setup, while EMQX, HiveMQ, or AWS IoT Core may fit broader platform and management requirements.
Ask how the specialist handles reconnects, duplicate delivery, retained messages, offline sessions, access control, and broker failure. A quality MQTT implementation has clear topic and payload contracts, automated tests, useful monitoring, documented operating procedures, and a deliberate quality-of-service strategy.
Before working with MQTT, freelancers should clarify device constraints, network conditions, expected message patterns, payload ownership, broker hosting, authentication, and delivery guarantees. They should also identify whether the system needs MQTT 3.1.1 compatibility or can use MQTT 5 features.
The average hourly rate of freelancers who have used MQTT in their recent projects is 95 €, which corresponds to a daily rate of about 761 € based on an 8-hour working day.
Of the freelancers who have used MQTT in their recent projects, 88% hold at least a Bachelor's degree, 62% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers who have used MQTT in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 3.2 years.
The most common languages among freelancers who have used MQTT in their recent projects are German (99%), English (98%), and Spanish (14%).
The most common industries among freelancers who have used MQTT in their recent projects are Information Technology (91%), Manufacturing (70%), and Automotive (58%).
The most common business areas among freelancers who have used MQTT in their recent projects are Information Technology (97%), Product Development (97%), and Quality Assurance (79%).
Main locations of FRATCH Experts, who have recently used MQTT
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg 
Munich 
Stuttgart In Austria our freelancers and interim experts support companies from Vienna to Graz — on-site where your project needs them, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Vienna Graz Across Switzerland our specialists are active in Zurich, Geneva, Basel and Bern — working on-site or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Zurich Geneva Basel Bern Countries:
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FRATCH CEO
