n8n Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used n8n
Kevin Grundmann
Last position:
AI Strategy & Governance / Freelancer at Al Gambit
- Architect AI strategies and smart business processes for companies implementing AI initiatives.
- Focus on pragmatic and trustworthy AI integration delivering tangible operational value.
Tan Pham
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Felix Tschöpe
Last position:
Quality and Process Manager Trading – Systems Focus at Mainova AG
- Ensuring stable operation of business-critical applications in the energy environment (KRITIS-adjacent systems), coordinating with IT operations on certificates, permissions, and security-relevant logging
- Continuous monitoring of interfaces, processes, and system states including analysis of deviations and performance issues
- Development and setup of secure interfaces including authentication and access concepts
- Incident management: prioritization, root cause analysis, coordination of issue resolution with IT operations, business units, and external service providers
- Change and release management including coordination, test coordination, go-live, and post-live support
- Product owner for operational systems in day-to-day operations (forecasts, schedule management, market data import and export, contract management, regulatory reporting)
- Documentation of operational processes, changes, and incidents to ensure traceability and auditability
- Automation and digitization of operational processes
- Introduction and use of AI-supported analysis and monitoring approaches and agents with Microsoft 365 Copilot
Jan Hanken
Last position:
Product Lead at GoDEAP.ai
- Leading the development of a virtual data scientist platform designed for business professionals, students, and SMEs.
Kevin Müller
Last position:
Freelance Lecturer in Coaching at DSI Education GmbH
- Practice-oriented coaching on core aspects of data science
- Teaching advanced concepts in Python as well as automation (with Make and n8n) and ETL processes with Apache Airflow
- Weekly preparation and delivery of practice-oriented programming courses using real-world examples
- Promoting practical programming skills among participants through interactive exercises and individual support
- Developing didactic materials and adapting content to participants' skill levels
- Close collaboration with the team for continuous improvement of course quality and learning outcomes
Hong T
Last position:
Performance Ads Consultant (Meta) at Agila Hundeversicherung AG
- Created D2C conversion funnels using AI lookalike and interest-based targeting.
- Optimized creative assets with AI copy and image analysis tools.
- Implemented predictive pacing and dynamic budget optimization in Meta Ads.
- Increased lead quality by 30% through iterative audience refinement.
- Scaled profitable ad sets with automated testing and bid strategies.
Anton Rösler
Last position:
AI-Engineer at Publicly traded company, industrial safety technology
- Designed and implemented the agent-based AI architecture for a company-wide platform to securely deploy LLM-based agents
- Designed and implemented end-to-end RAG pipelines from multiple sources: document preprocessing, chunking strategies for different document types, embeddings, retrieval with re-ranking, and robust prompt orchestration
- Developed a modular context engineering framework with skill architecture, context isolation, and dynamic resource management; human-in-the-loop control for enterprise tool integrations
- Built the CI/CD pipeline, testing strategy, tracing on the software side as well as automated LLM and agent evaluations, red team testing and tracing, and handed over to a reproducible production environment (ISO27001 and SOC2 compliant)
Discover over 15,000 top freelancers
Statistics of experts using n8n
Aggregated from the professional profiles of matched freelancers.
Experience
12 years (Germany: 16 years)
Position duration
2 years (Germany: 3 years)
Positions per freelancer
12 (Germany: 10)
Top business areas
Information Technology, Business Intelligence, Operations
Top industries
Information Technology, Automotive, Healthcare
Certification focus areas
Business Intelligence, Information Technology, Project Management
Bachelor's degree or higher
80% (Germany: 92%)
Master's degree or higher
40% (Germany: 66%)
Certifications per freelancer
5 (Germany: 4)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 97%)
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 Frankfurt 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 Frankfurt using n8n
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
What n8n does
n8n is a workflow automation tool for connecting apps, APIs, and data sources. Teams use it to move information between systems, trigger actions, and reduce manual handoffs. It fits jobs like lead routing, incident alerts, approval flows, and syncing records across tools.
Where it fits
It is often chosen when a process needs more control than a simple no-code link but less overhead than a full custom integration. Common use cases include:
- API orchestration
- data transfer between SaaS tools
- webhook-driven automations
- internal ops workflows
- scheduled syncs and notifications
Skills that matter
Strong n8n professionals know workflow design, JavaScript, HTTP, webhooks, JSON, and authentication patterns such as OAuth and API keys. They also understand error handling, retries, branching, and how to keep automations readable and easy to maintain. Experience with self-hosted setups is a plus when security or control matters.
Tooling and ecosystem
n8n works with a wide range of services, from CRMs and ticketing tools to databases, cloud apps, and messaging systems. Many projects also involve Docker, reverse proxies, secrets management, and monitoring. Formerly known as nodemation, it is often used alongside custom scripts when a workflow needs one sharp technical step.
When companies bring in experts
Companies usually look for freelance n8n specialists when automations break, when an integration needs to be redesigned, or when a process must be documented and handed over cleanly. In Frankfurt, this often comes up in finance, logistics, SaaS, and operations teams that need reliable data flow across systems. Remote work is common; on-site help can matter for workshops, discovery, or access-sensitive systems.
What good work looks like
Good n8n work is stable, clear, and easy to extend. Strong specialists name nodes well, keep workflows modular, log failures, and avoid brittle shortcuts. They also ask the right questions about source systems, retry rules, ownership, and what should happen when data is missing or delayed.
Frequently asked questions
Everything clients usually want to know about n8n, in one place.
n8n is used to automate tasks between apps, APIs, and databases. Companies use it for lead routing, notifications, approvals, data syncs, and webhook-based flows. It is a good fit when a process needs structure, visibility, and room for custom logic.
n8n is often chosen when teams want more control over logic, self-hosting, or custom code inside a workflow. Zapier is usually simpler for quick links, while Make is known for visual flow design. n8n tends to suit more technical automations and more complex integrations.
A strong n8n specialist usually brings API knowledge, JSON handling, webhooks, and practical JavaScript. Experience with OAuth, REST services, and databases helps a lot. For self-hosted setups, Docker and basic server operations are often important too.
A simple n8n workflow can be handled by a specialist who knows the platform and the connected tools well. More demanding work needs deeper experience with failure handling, data mapping, and long-term maintainability. If the workflow touches core business systems, senior-level judgment is worth it.
Yes. n8n projects often work well with a mix of remote delivery and on-site workshops. In Frankfurt, teams sometimes want face-to-face sessions for process mapping, access to internal systems, or stakeholder alignment, while the build itself can stay remote.
n8n is often a strong choice when a company wants to control data flow and hosting. Self-hosting can help with security, internal policies, and custom network access. It also means the specialist must think about deployment, backups, and maintenance from the start.
Look for clear workflow structure, good naming, and sensible error handling in n8n. A strong specialist can explain why each node exists and what happens when an API fails or returns bad data. Clean handover notes and maintainable logic are signs of solid work.
A good n8n freelancer will ask which systems are involved, what the trigger is, and what the workflow should do when data is missing. They should also check authentication, rate limits, ownership, and whether the flow needs to be self-hosted. Clear answers save time and prevent fragile automations.
The average hourly rate of freelancers in Frankfurt, Germany who have used n8n in their recent projects is 99 €, which corresponds to a daily rate of about 790 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used n8n in their recent projects, 80% hold at least a Bachelor's degree and 40% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used n8n in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Frankfurt, Germany who have used n8n in their recent projects are German (100%), English (100%), and Spanish (29%).
The most common industries among freelancers in Frankfurt, Germany who have used n8n in their recent projects are Information Technology (71%), Automotive (57%), and Healthcare (57%).
The most common business areas among freelancers in Frankfurt, Germany who have used n8n in their recent projects are Information Technology (100%), Business Intelligence (71%), and Operations (57%).
Main locations of FRATCH Experts, who have recently used n8n
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 
Dusseldorf 
Dortmund 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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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
