RabbitMQ Experts in Cologne
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Meet FRATCH Experts in Cologne, who have recently used RabbitMQ
Burhan Dinler
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
Stefan Marx
Last position:
Bundesrechtsanwaltskammer
- Design, planning and execution of complex acceptance tests for a document exchange platform for the German justice authorities.
- Validation of decrypted and certificate-based message exchange via web platform, mobile app, and Java API.
- Documentation of test cases, execution steps, and test results.
- Technologies: Windows 11/10, Ubuntu, iOS, Android, Bash for Windows, Java 17, IntelliJ, Git, Jira, Confluence, Citrix Server, xJustiz standard implementation, specific justice software.
Hassan Amjad
Last position:
IT Consultant at ALDI South (Albrecht's Discount)
- Supporting the DevOps team in Terraform-managed, multi-region AWS infrastructure to achieve environment parity.
- Developed end-to-end CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy, automating the build and deployment.
- Maintained pre- and post-deployment scripts to automate critical tasks such as database schema migrations and environment sanity checks.
- Implemented CI/CD flow specifically for hotfixes via separate Git branches, managing back-merge activities from feature branches to release branches to ensure code integrity through automated conflict resolution.
- Deployed a dedicated, lightweight sanity check application hosted cost-effectively on Azure Container Apps to run automated health and basic functional checks as a post-deployment activity triggered via pipeline.
- Investigated production incidents through code changes and AWS CloudWatch logs.
- Coordinated integration of Dynatrace APM and its APIs for monitoring purposes.
- Full stack QA strategist for a high-traffic e-commerce platform built on a layered architecture for the back-end testing of core platform services, especially the order management system in Zed and Glue layers.
- Managed automation activities, testing process, and refactoring practices.
- Responsible for framework migrations, setup, and training for new automation frameworks.
- Promoted a shift-left approach within the QA team and created the test concept.
- Participated in meetings with IT managers, business owners, product owners, and team members.
Alexander Vasiliev
Last position:
Senior DevOps / Platform Engineer at Kaufland e-commerce / real.digital (ex hitmeister.de)
- Evolved the platform from bare-metal infrastructure with a monolithic PHP application to a hybrid Google Cloud architecture with Go microservices on Kubernetes
- Managed and scaled a production infrastructure with 300+ VMs and dozens of clusters, including MySQL, PostgreSQL, MongoDB, RabbitMQ, Redis and Elasticsearch clusters
- Designed architecture, deployment, monitoring, performance analysis, and upgrades for all platform services using Terraform and Ansible
- Migrated observability systems from ELK and Prometheus to Datadog, managed with Terraform
- Introduced Jenkins CI/CD with SonarQube integration and automated tests to speed up feedback cycles
- Containerized the testing environment and implemented GitLab CI pipelines for Docker image builds, static code analysis, and infrastructure tests
- Performed zero-downtime migrations of MySQL and MongoDB clusters to Google Cloud
- Developed reusable Ansible roles for database clusters and automated data obfuscation for staging environments
- Decomposed monolithic databases and migrated to microservice architectures
- Built tools to detect and optimize slow queries in MySQL and MongoDB
- Conducted online schema migrations with pt-online-schema-change without downtime windows
- Developed internal Go applications for batch queries, GitLab-Jira integration, and MongoDB backup recovery
- Technologies: Debian, Ubuntu, Alpine, Go, Bash, Python, PHP, SQL, GitLab CI, Jenkins, Drone CI, MySQL, MongoDB, PostgreSQL, Redis, Elasticsearch, RabbitMQ, Kafka, Docker, Kubernetes, Nomad, Ansible, Terraform, Grafana, ELK, Prometheus, Datadog, Nagios, Zabbix, Nginx, HAProxy, Vault, Helm, SonarQube, Filebeat, Auditbeat, Google Cloud, AWS
Jacqueline Haefke
Last position:
Kitchen Appliance Manufacturer
Setting up and enhancing an international subscription management system
Migrating and decommissioning a Hybris-SAP system and integrating Zuora
Implementing numerous interfaces to various systems (external and internal)
Setting up and improving monitoring with Grafana, Prometheus, and Databricks
Introducing logging with Loki
Implementing business requirements using jQuery, Thymeleaf, Spring Boot, Java, Go, and Python
Adjusting and extending the GitLab CI pipelines
Setting up and extending infrastructure as code with Terraform and ArgoCD on AWS
Setting up and running E2E and performance tests
Expanding the Databricks business intelligence solution to provide various KPIs
Responsibilities: Architecture, DevOps, development, unit tests, coaching employees and apprentices, E2E, smoke, and integration tests, agile methods consulting (Kanban, Scrum)
Technologies and methods: Java, Go, Kotlin, Node.js, Spring Boot, SOAP/REST, Quarkus, Thymeleaf, Vaadin, Slack, Jira, Confluence, IntelliJ, GitLab, SQS, Kafka, AWS, Kubernetes, Terraform, Maven, Gradle, GitLab CI, Databricks
Andreas Beckers
Last position:
Senior Frontend Developer at Roadex
- Development of an app
- Technologies: React Native, Expo, SupaBase, TypeScript, GitHub, Trello
Allal Kharaz
Last position:
Java Senior Full Stack Developer at Insurance ÖRAG
- Further development of a policy administration system (contract/claims) for the legal expenses insurer ÖRAG.
- My role: Senior Software Developer.
- The team consists of 12 developers.
- Technologies used: Java 8/21, Java EE, Quarkus, WebLogic, JPA, RabbitMQ, JTA, CI, CD, Jenkins, DB2, Maven, Jenkins, GIT (bitbucket) later GitLab, Junit, Elasticsearch, Mockito, Jira, SonarQube, Scrum, React, Workflow
- Migration and modernization of legacy systems: rewrote C and C++ code in Java to improve maintainability, scalability, and performance. Refactored Python into Java, including optimization and integration into modern architectures.
- Study on the use of AI (Codex) for implementing a Java feature. The goal is to compare the time spent and productivity of AI-supported development with a classic implementation by a developer. The results should show how strongly the use of AI affects development time and efficiency.
- Development of the following tariff calculators for the years 2024/2026: private, companies, doctors, farmers, owner-occupied G + H, landlords, traffic, club, top managers, sales representatives, special criminal law, savings bank, municipal, BayGT, doctors, Dehoga
Discover over 15,000 top freelancers
Statistics of experts using RabbitMQ
Aggregated from the professional profiles of matched freelancers.
Experience
27 years (Germany: 19 years)
Position duration
2.2 years (Germany: 2 years)
Positions per freelancer
23 (Germany: 13)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Retail, Banking and Finance
Certification focus areas
Information Technology, Project Management, Operations
Bachelor's degree or higher
100% (Germany: 88%)
Master's degree or higher
67% (Germany: 50%)
Certifications per freelancer
1 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 98%)
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 Cologne 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 Cologne using RabbitMQ
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
Message flow
RabbitMQ is a message broker used to move work between systems without tight coupling. Teams use it to buffer tasks, fan out events, and keep services responsive when demand spikes. It fits order handling, notifications, background jobs, and integration flows.
Core parts
A strong setup usually includes exchanges, queues, bindings, routing keys, and acknowledgements. Professionals choose the right exchange type, shape message durability, and set retries, dead-letter queues, and prefetch values so delivery stays predictable.
Typical work
- Design AMQP message flows for microservices
- Configure queues, exchanges, and routing rules
- Add retry logic and dead-letter handling
- Set up monitoring, alerts, and safe shutdowns
- Review payload design and consumer behavior
Related skills
RabbitMQ work often goes with AMQP, Docker, Kubernetes, and cloud messaging patterns. Experts may also know Java, Spring Boot, .NET, Node.js, or Python, because the broker sits between many stacks. They should understand idempotency, backpressure, and failure handling.
When to bring in help
Companies usually bring in freelance specialists when a queueing setup becomes unstable, slow, or hard to extend. They also step in during migrations from legacy brokers, when teams need better delivery guarantees, or when Cologne-based groups want remote support for backend and integration work.
What good looks like
Strong professionals keep message contracts simple, avoid hidden coupling, and make failure paths visible. They document exchange and queue ownership, test consumer recovery, and watch for poison messages, unbounded queues, and duplicate processing. Clear operations matter as much as clean code.
Frequently asked questions
Quick answers to the questions that come up most around RabbitMQ.
RabbitMQ is used to pass messages between services, background workers, and external systems. It helps teams decouple synchronous requests from longer tasks such as email sending, data sync, and order processing. That makes systems easier to scale and less likely to fail under load.
RabbitMQ is usually chosen for queueing, routing, and task distribution, while Kafka is often used for event streaming and log-style retention. RabbitMQ gives very direct control over exchanges, queues, and acknowledgements. If your project needs reliable delivery and flexible routing, it often fits better than Kafka.
A strong RabbitMQ specialist should understand AMQP, message durability, retries, dead-letter queues, and idempotent consumers. Useful adjacent skills include Docker, Kubernetes, and the application stack around the broker, such as Java, .NET, Node.js, or Python. Monitoring and incident handling matter too.
A simple RabbitMQ setup can work with a fairly focused specialist, but production messaging systems need someone who has handled failure cases before. If the project includes multiple services, retry logic, or migration from another broker, deeper hands-on experience is important. The hardest part is usually not sending messages, but operating them safely.
Bring in a RabbitMQ freelancer when the team needs short-term depth for architecture, tuning, or troubleshooting. This is common during migrations, performance problems, or when the internal team knows the app but not the broker in detail. A specialist can set the pattern, then leave the team with clear rules.
Yes, RabbitMQ work is often done remotely because most tasks are design, review, and debugging rather than site-specific. Cologne teams may still want on-site sessions for workshops, handover, or incident support, but day-to-day delivery is usually remote-friendly. English is often enough for technical collaboration, though local teams may prefer German for workshops.
A good RabbitMQ setup has clear queue ownership, sensible routing, safe retries, and visible dead-letter handling. It does not grow silent duplicate messages, unbounded queues, or hard-to-debug consumers. Good documentation and monitoring are part of the implementation, not an afterthought.
No. RabbitMQ is a broker that commonly speaks AMQP, which is a messaging protocol. In practice, people often say RabbitMQ when they mean the broker and AMQP when they mean the wire-level rules it follows. A good specialist should know both terms and when each one matters.
The average hourly rate of freelancers in Cologne, Germany who have used RabbitMQ in their recent projects is 91 €, which corresponds to a daily rate of about 727 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used RabbitMQ in their recent projects, 100% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Cologne, Germany who have used RabbitMQ in their recent projects have 27 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Cologne, Germany who have used RabbitMQ in their recent projects are German (100%), English (100%), and French (29%).
The most common industries among freelancers in Cologne, Germany who have used RabbitMQ in their recent projects are Information Technology (100%), Retail (86%), and Banking and Finance (71%).
The most common business areas among freelancers in Cologne, Germany who have used RabbitMQ in their recent projects are Information Technology (100%), Product Development (86%), and Business Intelligence (71%).
Main locations of FRATCH Experts, who have recently used RabbitMQ
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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