Azure Service Bus Experts in Germany
in minutes from 15,000 CVs with the power of AIHire experts who design reliable queues, topics, subscriptions, and retry flows in Azure Service Bus. They connect cloud services, smooth peak loads, and build message-driven systems that stay stable under pressure. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Azure Service Bus
Wadim Lupejcenko
Last position:
Fullstack Developer at dripwear.app
Development of an iOS app for virtual try-on and outfit suggestions
The goal of the project is to develop a mobile application for personalized, photorealistic outfit suggestions. Users should be able to upload their own photos, try on clothes virtually, and find products that can be bought directly in the generated suggestions.
- Planning and implementation of the onboarding and photo upload in the iOS app
- Development of the mobile application with Expo and React Native
- Implementation of a Hono/Node.js backend for user, product, and generation processes
- Building an asynchronous processing pipeline with BullMQ and Redis
- Connection of PostgreSQL/pgvector and S3 for product, image, and generation data
- Integration of Gemini and OpenAI for outfit generation and image processing
- Implementation of a credit system and integration of RevenueCat
- Integration of Stripe Connect and affiliate product feeds for products that can be bought directly
Label: TypeScript, React Native, Expo, Hono, Node.js, PostgreSQL/pgvector, BullMQ, Redis, S3, Gemini, OpenAI, RevenueCat, Stripe Connect, Docker
Jorge Machado
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
Rizwan Bashir
Last position:
Software Developer/Database/DevOps at Sutor Bank
- Migration and maintenance of a legacy system to the latest version of .NET for the asset management system
- Design and implementation of tests
- Creation of deployment pipelines and documentation
- Further development and implementation of change requests
- Technologies: C#, ASP.NET, Unit of Work, IOC, Three tier architecture, Entity Framework Core, DB First, Web API, Swagger, Open API, Monolith, Python, Oracle, Azure DevOps, GIT, xUnit, NSubstitute
- Methods: Agile development using Scrum
Alexander Kapincev
Last position:
Senior Fullstack Developer at Deutsche Vermögensberatung AG (DVAG)
- Further development and maintenance of a complex sales platform focused on digital closing processes, customer portal interactions, and document generation for financial and insurance products
- Development and maintenance of microservices with Spring Boot 3 and Kotlin
- Frontend development with Angular 20 to display products, applications, and documents
- Conducting end-to-end tests with Playwright and integration tests with WireMock
- Creating and optimizing Quartz jobs and CronJobs
- Refactoring the security configuration in a multi-realm Keycloak setup with custom FilterChain, permission evaluator, and factory routing
- Creating dynamic emails with Thymeleaf
- Extensive error analysis with Application Insights, Log Analytics, and direct SQL debugging
- Introducing a dynamically controllable security architecture with flexible token processing based on path and realm
- Stabilizing and clearly structuring the closing process for complex product models
- Significantly increased maintainability and readability of code through modular refactorings
- Improved test stability and depth by combining Playwright, WireMock, and integration tests
- Targeted performance optimization through analysis of Hibernate statistics, query tuning, and use of SQL execution plans
- Technologies used: Java 21, Kotlin, Spring Boot 3, Angular, TypeScript, REST API, JSON, Kubernetes, Docker, PostgreSQL, Liquibase, Keycloak, OAuth2, GitHub Actions, Testcontainers, Azure Application Insights, Thymeleaf, Tilt, Microsoft SQL Server
David Rihm
Last position:
Lead Developer/Technical Architect
- Design, extension, and implementation of interfaces (REST, GraphQL, Kafka)
- Architecture and implementation of cloud-native microservices on Azure Kubernetes Service
- Domain-Driven Design, Event-Driven Architecture with Kafka
- Development of an extensive query engine for REST endpoints based on business objects
- Design and implementation of master data classification using machine learning algorithms (Weka library, Spotify Voyager)
- Analysis and evaluation of complex load test scenarios and derivation of optimizations
- Increase in system resilience (Kafka error handling, circuit breaker, sidecar service mesh in Go)
- Integration with CIAM systems (asynchronous real-time synchronization and definition of data ownership, authorization, authentication)
- Connection to Azure ServiceBus (AMQP protocol)
- Design and implementation of complex authorization concepts (including delegated administration)
- Documentation of the results (Confluence, architecture descriptions, architecture decisions)
Muhammad Ahmed Shehzad
Last position:
Senior Software Engineer at Verbund Pflegehilfe
Own Azure-hosted ASP.NET Core microservices for chronic-care workflows, sustaining 99.8% uptime across 3,000+ patient interactions.
Shape HL7 FHIR-based patient, encounter, and observation profiles delivering a unified source of truth for clinical teams and integrations.
Implement SignalR telemetry, Application Insights alerting, and automated pipelines that surface deteriorating vitals in under three seconds.
Automated consultant outreach by orchestrating Twilio voice campaigns via n8n workflows and VAPI AI assistants, boosting successful client contacts by 55%.
Entlass Manager: Led the end-to-end build of the chronic-care coordination platform, standing up Azure-native microservices, clinical data flows, and patient-facing tooling from initial requirements through production release.
Power Dialer: Built the Twilio-driven consultancy auto-dialer and n8n workflows, raising client reachability to 85%.
Mohamed Saleh
Last position:
Machine Learning Engineer (Part Time) at E.ON Digital Technology
- Designed and implemented an advanced, agentic RAG pipeline using LangChain and LangGraph for structured data extraction from PDFs, utilizing tools, state management, and OpenAI LLMs (GPT-4) to improve accuracy and handle complex document structures.
- Developed a Google AI agent for extraction of structured information from PDF documents and deployed the agent on Vertex AI.
- Architected data pipelines using Azure Data Factory and Databricks to ingest data from Azure Blob Storage, process it with PySpark, and load it into Azure SQL Database via Linked Services.
- Containerized AI agents and services using Docker for consistent local development and deployment.
- Utilized PySpark and Dask for database querying in coordination with Azure Blob Storage and Document Storage.
- Created a ReAct agent that extracts structured data from PDF documents using tools and integrating Azure Document Intelligence.
- Contributed to the CPO invoices validation check project using Databricks to find existing CDRs and calculate total valid costs.
- Developed a conversational AI agent (chatbot) with a FastAPI backend, integrating RAG for precise tariff extraction and deployed the service using Azure Container Apps.
- Tools used: Azure, Azure OpenAI, Azure Document Intelligence, Azure Blob Storage, Google ADK, Google Cloud, Vertex AI, Gemini, Databricks, LangChain, LlamaIndex Ollama, Docker, PySpark, Azure SQL, Azure Data Factory, Azure AI Agent, Microsoft SQL Server
Mojtaba Ghanaat-Pisheh
Last position:
Full-Stack Software Developer at Energy Sector
- Led and coordinated consumption and price calculations for gas and electricity forecasts to ensure accurate and reliable pricing
- Implemented modern microservices and Web APIs based on .NET 7 in an Azure environment using Azure App Service, Azure Storage, and Azure Service Bus
- Built and managed infrastructure in Azure using Terraform, including resource deployment and automation of deployment processes
- Developed and maintained Azure DevOps pipelines to optimize build, test, and release workflows
- Optimized data management with SQL Server and ensured seamless integration across all services
- Developed the front end with Angular 16, TypeScript, CSS, HTML, and Kendo UI to deliver an intuitive and engaging user interface
Andreas Grutz
Last position:
Senior Fullstack .NET (Core) & Angular Developer at IT service provider
- Supported an agile team in the development of a new CRM tool
- Web frontend development (Angular 17 with MDB-Bootstrap, microfrontends, DDD)
- Backend development (C# & .NET 7-9, MongoDB, MassTransit, RabbitMQ, Elasticsearch, microservices, DDD)
- Coordination with stakeholders & product owners
- Assisted in sprint planning
Andreas Kraus
Last position:
Senior Developer at ioki GmbH, a Deutsche Bahn AG company
- Fullstack development based on Next.js and TypeScript
- Development and optimization of geospatial database queries for PostgreSQL/PostGIS
- Visualization of geospatial data using Mapbox
- Design and execution of load tests and performance optimizations
- Code reviews and documentation tasks
- Technologies: JavaScript, TypeScript, Next.js, React, Zod, tRPC, Storybooks, PostgreSQL/PostGIS, MicroORM, Knex, Material UI, Mapbox, BullMQ, Jest, Playwright, Artillery.io, K6, Sentry, Figma, GitLab, Grafana, GTFS
Timo Külbel
Last position:
Senior Fullstack Developer
- Lead Developer / Tech Lead in a large banking group for a complete redevelopment of payment systems
- Rebuilding payment processing in stream processing
- Development and design of cross-border payment stream processing based on Kafka and Kafka Streams
- Development of different input formats for the business team using Drools rules to dynamically adjust validation rules
- Evaluation and comparison of different public cloud providers regarding the databases they offer
- Technologies & Tools: Java 21, Kotlin, Spring Boot, Kafka, Kubernetes, Azure, TDD, JEE, REST, Angular, Spark, Google Cloud, SCDF, PostgreSQL, Drools, Git, S3, MongoDB
Discover over 15,000 top freelancers
Statistics of experts using Azure Service Bus
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
1.5 years
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Transportation, Energy
Certification focus areas
Information Technology, Business Intelligence, Human Resources
Bachelor's degree or higher
100%
Master's degree or higher
71%
Doctorate
14%
Certifications per freelancer
3
Most common languages
German, English, Spanish
Speak two or more languages
100%
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 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 Azure Service Bus
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 delivery
Azure Service Bus is a managed messaging service for decoupled systems. It helps teams move work through queues and topics instead of direct calls, which reduces tight coupling and makes failures easier to handle. Many companies use it for order processing, integration flows, and background work.
Core patterns
- Queue-based work distribution for asynchronous tasks
- Topics and subscriptions for publish/subscribe messaging
- Dead-letter handling for messages that cannot be processed
- Scheduled delivery and delayed retry flows
These patterns are common in systems that need controlled message flow and clear processing rules. Strong specialists know when to use queues, when to use topics, and how to keep messages moving without creating duplicates or bottlenecks.
Ecosystem skills
Azure Service Bus work rarely stands alone. Experts often combine it with Azure Functions, Logic Apps, .NET, C#, API integrations, and identity and access settings in Azure. They also understand message contracts, serialization, idempotency, and monitoring so teams can trace what happens to each message.
When to bring in help
Companies usually bring in freelance professionals when a system needs a new integration layer, unstable messaging needs cleanup, or a migration from older Service Bus code is underway. It is also common when teams in Germany need short-term support for a cloud project and want remote collaboration with clear documentation and English-ready communication. Strong experts leave systems easier to operate, not just working.
What good experts do
A good Azure Service Bus specialist thinks in delivery guarantees, failure paths, and operational clarity. They set up meaningful retries, dead-letter queues, correlation, and topic design that match the business process. They also write code and config that other teams can maintain without guesswork.
Common project scope
- New event-driven service communication
- Refactoring direct API calls into messaging
- Setting up monitoring, alerts, and message tracing
- Cleaning up poisoned messages and backlog issues
This work often touches releases, incident response, and platform standards. The best professionals balance technical detail with practical choices that fit the team, the workload, and the Azure environment.
Frequently asked questions
Curious about Azure Service Bus? Here are the answers that come up again and again.
Azure Service Bus is used to move messages between services in a controlled way. Companies use it for order handling, workflow steps, background jobs, and integration between cloud systems. It is a fit when direct API calls are too fragile or too tightly coupled.
Azure Service Bus is built for reliable message delivery, queueing, and topic-based pub/sub with clear processing control. Event Grid is better for lightweight event notifications, while Kafka is usually chosen for high-volume streaming and log-style processing. The right choice depends on delivery needs, processing style, and how much ordering or retry control you need.
A strong Azure Service Bus specialist should understand message design, retries, dead-letter queues, and idempotent processing. Useful adjacent skills include .NET, C#, Azure Functions, monitoring, and service integration design. They should also know how to diagnose stuck messages and trace failures across services.
A project usually needs Azure Service Bus expertise when messaging is new to the team, an existing setup is unstable, or a migration must be done without breaking production flows. It also helps when the architecture depends on clean async processing and the team wants faster progress with less trial and error. External specialists are often brought in for design, hardening, or rescue work.
Yes, Azure Service Bus work is often done remotely, especially for design, implementation, review, and troubleshooting. For teams in Germany, remote collaboration works well when requirements, access, and communication are clear. On-site time is usually only needed for kickoff, workshops, or sensitive internal environments.
Look for evidence that the Azure Service Bus expert has designed real queue and topic flows, not just used the service in isolation. Good signs include clear handling of retries, poison messages, monitoring, and message contracts. Ask for examples of production incidents they improved or integrations they made easier to operate.
In Microsoft Azure, Azure Service Bus is often compared with Storage Queues, Event Grid, and sometimes Logic Apps for orchestration-heavy work. Storage Queues are simpler, Event Grid is more event-notification oriented, and Logic Apps focus on workflow automation. A good specialist can explain why Service Bus fits a given integration better than the other options.
Yes, Azure Service Bus work usually needs more than messaging alone. Freelancers should understand service boundaries, cloud security, observability, and how the application handles failures and duplicates. The best professionals also write documentation that helps the team support the system after handover.
The average hourly rate of freelancers in Germany who have used Azure Service Bus in their recent projects is 93 €, which corresponds to a daily rate of about 742 € based on an 8-hour working day.
Of the freelancers in Germany who have used Azure Service Bus in their recent projects, 100% hold at least a Bachelor's degree, 71% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Germany who have used Azure Service Bus in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Germany who have used Azure Service Bus in their recent projects are German (100%), English (100%), and Spanish (18%).
The most common industries among freelancers in Germany who have used Azure Service Bus in their recent projects are Information Technology (100%), Transportation (82%), and Energy (73%).
The most common business areas among freelancers in Germany who have used Azure Service Bus in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (55%).
Main locations of FRATCH Experts, who have recently used Azure Service Bus
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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Philipp Thomaschewski
FRATCH CEO
