Azure Event Hubs Experts in Germany
for real-time data flows, matched in minutes with vetted and available freelancersHire experts who design event-driven data pipelines, connect Azure services and tune high-throughput ingestion for analytics or operational systems. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Germany, who have recently used Azure Event Hubs
Alexander B.
Last position:
Senior Data Engineer at RWE AG
Architected and maintained data products for renewable energy operations, covering wind turbine, grid-meter, and weather data. Built scalable ETL/ELT pipelines in Azure Databricks using Delta Lake (bronze/silver/gold layers) and processed data in various formats, including structured and semi-structured data. Contributed to a data quality framework supporting table and column documentation, outlier detection, and completeness metrics across all datasets within a data product. In addition, implemented a DORA KPI Databricks dashboard used across all data products. Optimized CI/CD processes in Azure DevOps to streamline deployment across development, test, and production environments.
Technology stack: Azure Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Azure Data Lake, APIs, Dremio, Azure DevOps, YAML, Git, Databricks Workflows, Application Insights, Terraform, OpenAI API, Codex, LLM-assisted workflows
Mojtaba G.
Last position:
Full-Stack Software Developer at Energiebereich
- Led and coordinated consumption and price calculations for gas and electricity forecasts to ensure accurate and reliable price determination
- Implemented modern .NET 7-based microservices and Web APIs in an Azure environment using Azure App Service, Azure Storage and Azure Service Bus
- Created and managed infrastructure in Azure using Terraform, including resource provisioning and the 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 frontend with Angular 16, TypeScript, CSS, HTML and Kendo UI to provide an intuitive and engaging user interface
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
Ashkan Z.
Last position:
Microsoft Azure Senior Data Engineer / Senior Data Scientist at Vattenfall Europe
- Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
- Independently designing analytics solutions with Python, SQL, etc.
- Designing and implementing ETLs and data pipelines
- Creating and maintaining APIs
- Independently applying CI/CD, testing, and version control
- Data modeling
- Model development and optimization
- Anomaly detection with AI
- Predictive analytics
Used technologies:
- Snowflake
- Fabric
- Azure Synapse Analytics
- Azure DataFactory
- Azure Data Lake
- Azure DevOps
- Databricks
- Spark
- CI/CD
- SQL Database
- Python
- Power Platform
Manuel R.
Last position:
Cloud Architect & Lead Developer
- Responsible for the 5-head development team and Scrum + DevOps approach
- Designed and implemented the cloud architecture for the application landscape
- Lead development for the user management on Azure Cloud using .NET 8/C#
- Development for the user management frontend using React (TypeScript)
- Technologies: Azure AD, Functions, Storage, CosmosDB, Service Bus, AKS, Monitor, Pipelines, Key Vault, MSSQL, Bicep, App Service, Log Analytics, Application Insights, Cost Management
- Backend: .NET/C#; Frontend: Angular (TypeScript)
- Unit testing: NUnit, xUnit, Moq
- CI & CD: Azure DevOps, GitHub Actions, GitLab CI
- DevOps & IaC: Bicep, Terraform, Docker, Kubernetes
- Security & Compliance: ISO 27001, DevSecOps
- Software development approach: Scrum, SAFe, Kanban
Andreas K.
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
Jörg N.
Last position:
Senior Software Architect at Nieveler IT Consulting
- Redesign of the “Hessian Platform for Migration and Refugees”
- Technologies: C#, .NET 8.0, ASP.NET WebAPI, Blazor
- Architecture principles: Domain Driven Design, Mediator Pattern, Outbox Pattern, IOSP, Clean Code
- Methodologies: SCRUM, coaching, team lead
Jorge M.
Last position:
Data Architect at Deutsche Bahn
- Design and provide best practices on data modeling for dbt, including changing dimensions, late arriving data handling, and testing
- Design the ingestion flow from other systems into S3 and Redshift
- Design and implement new partitions for Dagster and incremental loading with dbt
- Map business requirements to technical architectures
- Instruct junior team members
Himanshu N.
Last position:
Principal (Data Scientist/Data Engineer/Gen AI Engineer) at Marktguru Deutschland GmbH
Architected an agentic, real-time offer orchestration engine where specialized agents (retrieval, pricing/optimization, and policy/guardrails) coordinate to personalise promotions across customer touchpoints using RAG with FAISS over Delta Lake and low-latency Databricks Model Serving. Collaborated with product managers and commercial stakeholders to shape the roadmap and evaluate emerging agent patterns for production.
Designed an agent-based data quality service that orchestrates schema detection, entity normalization, and validator/exception-handling agents to clean multi-retailer SKU feeds at scale. Wrapped model calls in PySpark UDFs for distributed inference, automated via Databricks Workflows and CI/CD.
Developed a multimodal, agentic extraction pipeline where vision, parsing, and compliance agents collaborate to derive brand, packaging, and volume from scanned images using Claude 3 Sonnet with Swin Transformer encoders. Orchestrated via Azure Event Hub with outputs persisted to Delta Lake.
Implemented a GS1 taxonomy classification service built around cooperating agents for inference, drift monitoring, and auto-retraining governance using Falcon 180B (LoRA-tuned) with a batch pipeline on Databricks.
Created a hybrid agent workflow where a retrieval agent surfaces candidate matches via embeddings and a reasoning/verification agent (Mixtral 8x7B) adjudicates receipt-to-SKU alignment, integrated into a streaming Databricks pipeline.
Built a multimodal attribute inference pipeline structured as cooperating vision-language, rules/consistency, and compliance agents to fill NutriScore, nutrition fields, and packaging types from names and images using LLaMA 3-8B with CLIP embeddings.
Developed a GenAI-powered orchestration system that ingests recipes from multiple websites, parses ingredients through structured extraction agents, and dynamically links them to real-time retailer offers via tagging, semantic reasoning, and business-rule agents.
Patrick P.
Last position:
Lead Web & FE Architect, Senior Developer at Mercedes-Benz AG / Microsoft / Alexander Thamm
- The objective was to create a solution to improve intralogistics in Mercedes factories as part of the MO360 production ecosystem
- Lighthouse project together with Microsoft (cloud architecture) and Alexander Thamm (data engineering)
- Visualization and analysis of live data to improve logistics processes
- Prediction of delivery movements, monitoring of facilities and delivery orders, and creation of corresponding alerts
- Provision of live dashboards for control centers, suppliers, and management
- Design and development of the web and frontend architecture
- Development of UI components and processing and visualization of real-time data streams
- Development of DevOps strategies
- Toolstack: TypeScript, NodeJS, React, NestJS, NextJS, Azure Cloud (Container, Digital Twins, Databricks, SQL, Application Insights, Event Hubs), SCRUM, Git, Azure DevOps, Python
Divij W.
Last position:
Data Scientist at Daimler R&D, Daimler AG
- Mercedes Me is an app that connects your phone to several features in the car
- Implemented analytical KPIs for the Digital Drivers Log (Fahrtenbuch) feature
- Used PySpark on Databricks
Discover over 15,000 top freelancers
Statistics of experts using Azure Event Hubs
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
1.6 years
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Operations
Bachelor's degree or higher
89%
Master's degree or higher
78%
Doctorate
33%
Certifications per freelancer
7
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany 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 in Germany using Azure Event Hubs
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Azure Event Hubs 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%)
- Banking and Finance (73%)
- Manufacturing (73%)
- Automotive (64%)
- Energy (64%)
- Transportation (64%)
- Professional Services (45%)
- Education (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Real-time event ingestion
Azure Event Hubs is a managed service for receiving, buffering and processing large streams of events. It is used for telemetry, application logs, clickstreams, financial transactions and industrial signals. Producers send data to an event hub, while consumers read it through partitions and consumer groups.
Azure ecosystem
Strong professionals work across the Azure services that surround Event Hubs. Common combinations include Azure Stream Analytics, Azure Functions, Databricks, Synapse Analytics, Event Grid, Logic Apps and Azure Data Explorer. They also understand SDKs for .NET, Java, Python and JavaScript, plus infrastructure automation with ARM templates, Bicep or Terraform.
Typical delivery work
- Design namespaces, event hubs, partitions and consumer groups
- Connect applications, devices and services through producer and consumer clients
- Build streaming pipelines for dashboards, alerts and analytics
- Configure capture to Azure Storage or Azure Data Lake Storage
- Secure access with Microsoft Entra ID, managed identities and private endpoints
When expertise matters
Companies bring in freelance specialists when event volume grows, pipelines become difficult to monitor or an existing integration needs a safer design. They can replace fragile polling with event-driven processing, improve recovery after failures and connect on-premises systems with Azure workloads. In Germany, this work often supports manufacturing, mobility, retail, energy and financial operations.
Quality signals
Look for professionals who can explain partition-key choices, ordering limits, retention, throughput units and checkpoint management in practical terms. Good specialists test retry behavior, duplicate events, consumer lag and schema changes instead of focusing only on a successful demo. They document operational ownership, alerts and failure recovery before handover.
Collaboration and scope
Event Hubs projects can be delivered remotely when access, data contracts and responsibilities are clear. On-site collaboration may help when specialists must connect factory equipment, regulated environments or legacy systems. German and English communication can both matter, especially when the work spans local operations, international teams and Azure governance.
Frequently asked questions
Quick answers to the questions that come up most around Azure Event Hubs.
Azure Event Hubs is used to ingest and process high-volume event streams from applications, devices, services and business systems. Companies use it for telemetry, log collection, clickstream analysis, operational monitoring and real-time data pipelines.
Azure Event Hubs is designed for large-scale event streaming and telemetry, where partitions and consumer groups support parallel processing. Azure Service Bus is usually a better fit for business messages that need queues, topics, transactions or dead-letter handling.
A strong Azure Event Hubs specialist often also works with Azure Functions, Stream Analytics, Databricks, Synapse Analytics and Azure Data Explorer. They should understand distributed systems, event schemas, observability, identity, networking and infrastructure as code.
The right level depends on the risk and scale of the system rather than a fixed duration of experience. For a production rollout, look for someone who has handled partition planning, consumer lag, retries, checkpointing, schema evolution and recovery testing with Azure Event Hubs.
Azure Event Hubs provides an Apache Kafka endpoint, allowing compatible producers and consumers to connect without adopting the native Azure SDK in every case. A specialist should still assess protocol compatibility, authentication, partition behavior, offsets and operational differences before migration.
Remote delivery is practical when cloud access, data contracts and deployment responsibilities are clearly defined. For teams in Germany, on-site work may be useful when the project connects factory equipment, private networks or legacy systems, while English or German communication can support smooth coordination.
Ask the specialist to explain why they would choose particular partitions, keys, consumer groups and retention settings. A capable Azure Event Hubs professional also discusses duplicate delivery, ordering limits, monitoring, security and recovery instead of presenting throughput alone.
Clarify the event producers, expected traffic pattern, latency needs, retention requirements, data sensitivity and downstream consumers before proposing a design. Freelancers working with Azure Event Hubs should also confirm whether the project uses native clients, the Kafka endpoint, hybrid connectivity or related Azure streaming services.
The average hourly rate of freelancers in Germany who have used Azure Event Hubs in their recent projects is 106 €, which corresponds to a daily rate of about 844 € based on an 8-hour working day.
Of the freelancers in Germany who have used Azure Event Hubs in their recent projects, 89% hold at least a Bachelor's degree, 78% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers in Germany who have used Azure Event Hubs in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Germany who have used Azure Event Hubs in their recent projects are German (100%), English (100%), and French (18%).
The most common industries among freelancers in Germany who have used Azure Event Hubs in their recent projects are Information Technology (91%), Banking and Finance (73%), and Manufacturing (73%).
The most common business areas among freelancers in Germany who have used Azure Event Hubs in their recent projects are Information Technology (100%), Product Development (91%), and Business Intelligence (64%).
Main locations of FRATCH Experts, who have recently used Azure Event Hubs
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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