Industrial IoT Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Industrial IoT
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
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.
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
Eduard H.
Last position:
Founder & Technical Lead | Enterprise Data Quality API at ADDRESSA
Built and scaled a high-performance enterprise API for real-time address validation and data quality with sub-second latency and 99.9 % availability.
Designed and integrated the solution into e-commerce, checkout, and logistics processes of leading European companies. Reduced delivery errors and shipping costs through automated data correction and precise data validation.
End-to-end responsibility for product strategy, technical architecture, software development, enterprise customers, operations, and GDPR-compliant data processing. Combined AI-native engineering workflows, Python, SQL, API integration, data quality, and workflow automation.
Pierre G.
Last position:
Ansible Automation, Windows Third Level Support at DB InfraGO AG
- PRISMA project
- Ansible automation
- Windows third-level support for Windows NT, Windows 2000, Windows 2013, Windows 2016, Windows 2019
Kusay T.
Last position:
Freelance System & Software Architect - DNA-Extraction Robot at QIAGEN GmbH
- System and software architecture for the QIA-symphony Connect DNA-extraction robot in Life Science / IVD automation.
- Designed features and control logic for extraction, pipetting, lysis and eluate modules using C++, PLC/ST (Beckhoff IPC / TwinCAT 3) and model-based concepts.
- Delivered ISO 13485-oriented requirements, architecture, unit/integration/regression tests and DHF/VEP/VER/TCL documentation.
- Used Polarion, Jira, Confluence, Azure and AI-assisted documentation to improve traceability and engineering efficiency.
Alexander K.
Last position:
Software Tester at Buhl Tax Service GmbH
- AI-assisted creation of test cases and test data
- Creation of test cases based on requirements
- Execution of manual tests
- Defect documentation, retesting and tracking
Technologies & Tools: SCRUM, Jira, Confluence, Zephyr Scale
Thore F.
Last position:
Data & AI Consultant at ContiTech GmbH
- Consultancy Databricks Lakehouse Platform Architecture
- Migration of existing manufacturing data services to Databricks. Existing services are running on various platforms & tools and are unified on target platform
- Implementation of new Data & AI use cases on Databricks platform (e.g. connecting new systems, building AI Agent prototypes, …)
Tech Stack: Databricks, Azure, PySpark, Python
Dominik P.
Last position:
Head of IT at Aarsleff Spezialtiefbau GmbH
- Disciplinary and professional leadership of the IT and service team
- Definition and documentation of the Current Mode of Operation (CMO) in Confluence: application landscape, infrastructure, networks, backup & storage
- Development of the Future Mode of Operation (FMO) including process analysis & stakeholder interviews with all departments using BPMN and flowcharts
- Optimization of license management: reduction of ongoing software costs by approx. 17% p.a.
- Introduction and establishment of Jira as the central tool for project and service management
- Introduction and rollout of the HR software MindKey to digitize HR processes
- Introduction of a VoIP solution with Microsoft Teams incl. PSTN connection to replace classic telephony
- Introduction of the production and planning software OptiControl to digitize operational processes
- Rollout of Intune as a Mobile Device Management solution for Windows, iOS and Android
- Build-up of Power BI dashboards for machine park monitoring and financial reporting
- Planning and execution of the IT consolidation of two locations for 170 users
- Introduction of automated penetration testing with Pentera
- Coaching and mentoring the team in agile methods & project management
- Operational support in day-to-day business: administration, incident & change management
- Management of external service providers and assurance of the quality of outsourced IT services
- Responsibility for the IT budget incl. planning and controlling
- Direct reporting line to management with regular management reports on IT KPIs, budget and project status
Mahmoud T.
Last position:
Strategy Consultant, Organizational Developer at Netcom BW / EnBW
- Analysis of the fiber optic market with a focus on FTTH
- Advising senior management on strategy planning for the next 10 years
- Reviewing product portfolios and services
- Identifying cost-saving opportunities
- Planning restructuring measures as part of a transformation program
- Designing a program structure "Fit For Profit" to implement the planned restructuring and meet strategic objectives
Florian B.
Last position:
Chief Delivery Officer, Process Definition & Automation at AI Health Tech
- Definition of operational business processes, from customer acquisition to accounting
- Development of the corresponding IT infrastructure and process clusters
- Design of process automation and definition of requirements for the AI technologies to be deployed
Christian G.
Last position:
Freelance Journalist at Adel & Link GmbH & Co. KG
- Wrote specialist articles on management consulting, digitalization and IT topics
Michael S.
Last position:
IT & Test Consultant at Testing Experts GmbH
AI Readiness - Part 3: Creating an E-Book on the Use of AI in Software Testing
- Designing and creating an e-book on the meaningful and safe use of AI in software testing from the perspective of an experienced test expert.
- Using generative AI (ChatGPT, Perplexity Pro) as a sparring partner for structuring, wording suggestions and variant creation, with final technical review and approval of all content based on my own expertise.
- Developing practical opportunities and risks of AI in testing, with a special focus on collaboration between testers and AI instead of "tester vs. AI".
- Title: "11 Strong Reasons: Dream Team Instead of Rivals - Testers and AI Are Unbeatable Together"
- Subtitle: "How humans and machines form the perfect team in software testing—and why pure AI testing is risky."
- Planned use of the e-book as a basis for workshops, client presentations, or internal training.
- Technology: Generative AI, ChatGPT, Perplexity Pro, Microsoft Word, Adobe Acrobat, many years of professional testing experience, common sense.
Basel J.
Last position:
Senior Application Engineer / Product Manager at Altran Magnetics LLC
- Oversee development and optimization of key products, including DP contactors, EMI filters, and circuit breakers.
- Lead certification processes ensuring compliance with UL, TÜV, and VDE standards.
- Act as technical liaison between customers, sales teams, and manufacturing to deliver customized solutions.
Qaiser A.
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices
Discover over 15,000 top freelancers
Statistics of experts using Industrial IoT
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
2.5 years
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Manufacturing, Energy
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
95%
Master's degree or higher
65%
Doctorate
8%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
98%
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 Industrial IoT
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.
Industrial IoT 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 (89%)
- Manufacturing (79%)
- Energy (51%)
- Professional Services (49%)
- Automotive (43%)
- Healthcare (40%)
- Education (32%)
- Banking and Finance (32%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Connected Industry
Industrial IoT, often called IIoT, connects machines, sensors, control systems and enterprise software so industrial operations can collect and use data. It supports condition monitoring, predictive maintenance, production visibility, energy management and automated quality checks. Unlike basic device connectivity, IIoT must work reliably in demanding environments and fit existing operational technology.
Systems and Use Cases
IIoT solutions span the factory floor, remote assets and central business systems. They may combine PLCs, SCADA, historians, gateways, cloud services and analytics into one operational data flow.
- Monitor machine health and detect abnormal behaviour
- Track production, downtime, energy use and quality signals
- Connect brownfield equipment with modern data services
- Support remote maintenance and asset performance management
Ecosystem and Tools
Strong specialists work across industrial protocols such as OPC UA, MQTT, Modbus and PROFINET. They may use edge runtimes, time-series databases, Kubernetes, Azure IoT, AWS IoT or Siemens Industrial Edge, while integrating ERP, MES and SCADA environments. Security depends on identity, network segmentation, certificate management and controlled device access.
When to Hire Specialists
Companies bring in freelance IIoT professionals when a pilot must become a dependable production system, when legacy equipment needs a safe data connection, or when internal teams lack industrial and cloud expertise. Germany’s manufacturing, process, logistics and energy sectors often require close coordination between plant operations, IT and external specialists. On-site workshops can matter for commissioning, while architecture, integration and analytics work can often happen remotely.
Project Deliverables
A project may produce an asset and data model, connectivity architecture, edge deployment, dashboards, alerting rules or a predictive maintenance workflow. Specialists also document interfaces, test failure scenarios and define operational ownership. The best plans account for intermittent connectivity, deterministic behaviour, data quality, lifecycle management and secure updates rather than treating the factory like a standard IT environment.
What Quality Looks Like
Experienced professionals understand both operational technology and software delivery. They can trace a sensor signal through gateways, message brokers, storage and business applications, then explain the result to production teams. Look for evidence of safe commissioning, protocol knowledge, observability, cybersecurity and clear handover documentation. A strong specialist makes measurable operational needs the starting point and chooses cloud, edge or hybrid components accordingly.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Industrial IoT.
Industrial IoT connects industrial assets and systems to collect, exchange and analyse operational data. Companies use IIoT for predictive maintenance, production monitoring, asset tracking, energy optimisation, quality control and remote service workflows.
Industrial IoT is designed for factories, utilities, logistics sites and other operational environments where safety, uptime, deterministic processes and legacy integration matter. Standard IoT often focuses on consumer or general-purpose connected devices, while IIoT must bridge operational technology with enterprise IT.
A strong Industrial IoT freelancer often combines industrial protocols, PLC or SCADA knowledge, cloud and edge computing, data engineering and cybersecurity. Experience with MES, ERP integration, time-series data and site commissioning is also valuable.
The right level depends on the risk and scope of the work. A contained data pipeline may need focused integration expertise, while a production rollout needs someone who has handled plant connectivity, brownfield equipment, security, testing and operational handover.
Industrial IoT architecture, data modelling, dashboards and much of the integration work can be delivered remotely. Site surveys, hardware installation, commissioning and troubleshooting may require on-site collaboration, especially in Germany where plant access and coordination with local teams are part of the project.
IIoT is commonly weighed against isolated SCADA upgrades, traditional automation projects and general-purpose IoT platforms. IIoT is the better fit when a company needs connected assets, broader data access and scalable analytics without losing control of plant-level operations.
Ask for concrete examples of connected assets, protocols, edge patterns and production outcomes. A capable Industrial IoT specialist can explain failure handling, data ownership, cybersecurity, monitoring and rollback procedures in clear operational terms.
Industrial IoT work in Germany often involves established manufacturers, process facilities, logistics operations and energy assets with complex legacy environments. Freelancers should be ready to collaborate with plant and IT teams, respect site-security procedures and communicate clearly in English or German depending on the organisation.
The average hourly rate of freelancers in Germany who have used Industrial IoT in their recent projects is 112 €, which corresponds to a daily rate of about 897 € based on an 8-hour working day.
Of the freelancers in Germany who have used Industrial IoT in their recent projects, 95% hold at least a Bachelor's degree, 65% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Germany who have used Industrial IoT in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Germany who have used Industrial IoT in their recent projects are German (98%), English (96%), and Spanish (23%).
The most common industries among freelancers in Germany who have used Industrial IoT in their recent projects are Information Technology (89%), Manufacturing (79%), and Energy (51%).
The most common business areas among freelancers in Germany who have used Industrial IoT in their recent projects are Information Technology (98%), Product Development (89%), and Project Management (70%).
Main locations of FRATCH Experts, who have recently used Industrial IoT
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.
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