Azure Event Hubs Experts in Germany
, matched in minutes from over 15,000 CVsHire experts who design event-driven architectures, connect Azure Event Hubs with Stream Analytics and Databricks, and secure reliable data ingestion for demanding workloads. FRATCH matches you quickly and precisely with vetted, available freelancers.
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
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
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.
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
Mojtaba G.
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 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
Patrick P.
Last position:
Lead Web & FE Architect, Senior Developer at Mercedes-Benz AG / Microsoft / Alexander Thamm
- The goal was to develop a solution to improve intralogistics in Mercedes plants as part of the MO360 production ecosystem
- Lighthouse project in collaboration 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 equipment and delivery orders, and creating relevant alerts
- Providing live dashboards for control centers, suppliers, and management
- Designing and building the web and frontend architecture
- Developing UI components and processing and visualizing real-time data streams
- Developing DevOps strategies
- Toolstack: TypeScript, NodeJS, React, NestJS, NextJS, Azure Cloud (Containers, Digital Twins, Databricks, SQL, Application Insights, Event Hubs), SCRUM, Git, Azure DevOps, Python
Discover over 15,000 top freelancers
Statistics of experts using Azure Event Hubs
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
1.5 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 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 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 19 Sep 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
Event streaming
Azure Event Hubs is a managed Azure service for ingesting and processing large streams of events. It receives telemetry, application logs, clickstreams and business events, then makes them available to multiple consumers. Event Hubs is built for durable, distributed data intake rather than message-by-message business workflows.
Core architecture
A strong implementation defines hubs, partitions, consumer groups, retention and throughput settings around the expected event flow. Specialists work with producers, event processors and checkpoint storage to support parallel consumption and reliable recovery. They also plan partition keys carefully so traffic stays balanced without breaking event ordering requirements.
Azure ecosystem
Event Hubs connects with services across the Microsoft Azure data and integration stack. Relevant skills often include:
- Azure Stream Analytics for real-time transformations
- Azure Functions for event-triggered processing
- Azure Databricks and Synapse for analytics pipelines
- Azure Monitor, Event Grid and Microsoft Entra ID
- Kafka protocol compatibility and schema management
Typical projects
Companies use Azure Event Hubs for telemetry platforms, application observability, fraud signals, connected devices and near-real-time reporting. It can feed lakehouse, data warehouse and machine learning workflows while separating event producers from downstream consumers. In Germany, specialists may support industrial, automotive, logistics and financial workloads that require dependable regional collaboration.
When to bring expertise
Freelance expertise is useful when an event platform must be introduced, migrated or stabilized under delivery pressure. Common signals include rising ingestion failures, uneven partition load, unclear replay procedures or growing cloud costs. Remote collaboration works well for architecture and implementation, while on-site sessions can help with workshops, regulated environments and German-language stakeholder alignment.
Quality signals
Strong professionals understand both Azure operations and the application behavior behind the event stream. They define failure handling, idempotency, replay, schema evolution, observability and access control before production launch. They can explain trade-offs between Event Hubs, Kafka, Event Grid and Service Bus, document operational runbooks, and validate the design with realistic load and recovery tests.
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 operational systems. A specialist can use it to feed real-time analytics, monitoring, data lakes, machine learning pipelines and downstream business applications.
Azure Event Hubs provides a managed Azure service with Kafka protocol support, so applications using Kafka clients can often connect without adopting a self-managed Kafka cluster. Kafka may offer deeper ecosystem control, while Event Hubs can reduce operational work for teams already standardized on Microsoft Azure.
Azure Event Hubs is designed for streaming ingestion and parallel consumption at scale. Event Grid is usually better for discrete event notifications, while Service Bus fits transactional queues, commands and workflows that need richer delivery guarantees.
A strong Azure Event Hubs specialist usually understands Azure Functions, Stream Analytics, Databricks, Synapse, Azure Monitor and Microsoft Entra ID. Knowledge of Kafka clients, schema registries, infrastructure as code and distributed application design is also valuable.
Azure Event Hubs work requires more than creating a hub and sending events. The right professional should have handled partition strategy, consumer groups, checkpointing, retries, replay, schema changes, monitoring and access control in systems similar to the intended workload.
Azure Event Hubs projects are often suitable for remote collaboration because configuration, code review, monitoring and documentation can be handled online. On-site work may still help with architecture workshops, factory or device integrations, regulated environments and German-language coordination.
Ask an Azure Event Hubs professional to explain partition keys, ordering limits, consumer recovery, idempotency and replay using a concrete architecture. Quality is also visible in clear monitoring plans, failure tests, security decisions and documentation that another team can operate.
Azure Event Hubs assignments often involve more than event ingestion. Professionals may need to connect producers and consumers, tune throughput, investigate delayed processing, secure managed identities, support Kafka-compatible clients and coordinate with data, application and cloud teams.
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 847 € 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 17 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 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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