
Event Streaming Experts in Germany
matched in minutesHire experts who design Kafka-based event flows, connect real-time data sources and deliver reliable stream processing for analytics, payments and distributed applications. Get precise access to vetted, available freelancers who fit your technical needs quickly.
Meet FRATCH Experts in Germany, who have recently used Event Streaming
Ales L.
Last position:
Senior DevOps Consultant (Freelance) at European Union Agency (via IBM)
- Worked as freelance Senior DevOps Consultant on-site for IBM at a European Union Agency, operating in a highly secure, air-gapped environment managing classified systems.
- Led automation and DevOps initiatives for a large-scale OpenShift platform (>400 nodes), driving deployment efficiency, GitOps adoption, and operational automation using Ansible, Python, and Bash while ensuring compliance with security requirements.
- Spearheaded automation of release and deployment workflows in a private cloud environment hosting 400+ OpenShift nodes, significantly improving deployment speed and reliability.
- Migrated existing playbooks, roles, and templates from Ansible Tower to Ansible Automation Platform (AAP), ensuring full compliance with fully-qualified collection names (FQCN) and preparing custom Execution Environments (EE) for containerized automation.
- Implemented GitOps Agent for AAP Controller Configuration as Code, enabling automated synchronization (CRUD) of Ansible Controller objects based on repository-stored configuration definitions using GitHub webhooks.
- Designed and automated complex multi-step operational workflows including environment cleanup, Helix cluster component re-creation, Kafka topic management, and OpenShift object lifecycle management across ~100 environments.
- Achieved a reduction of multi-day manual operations to under a few hours through automation improvements spanning multiple AAP clusters and OpenShift environments.
- Integrated Ansible Automation Platform with Thycotic (Delinea) Secret Server via lookup plugin to enhance secure credential management in automated processes.
- Managed deployment tasks, platform troubleshooting, and Istio network configurations while adhering to stringent EU PSC security and compliance standards.
- Collaborated with infrastructure and application teams to refine deployment procedures, develop naming conventions, and continuously improve automation coverage in an air-gapped, classified environment.
Armen M.
Last position:
CTO/CPO Platform & Technology at Green Mobility Holding
- Overall responsibility for platform transformation across ERP, CRM, PIM and AI-supported process automation
- ERP transformation: Introduction and migration to Microsoft Dynamics 365 Business Central
- CRM & Growth Stack: Implementation of HubSpot as the central CRM and platform for lead and marketing automation
- Product data & Commerce Enablement: Introduction of an ePIM to scale Category Management and digital Commerce processes
- AI-supported process automation: Design and introduction of agent-based AI workflows to automate processes in Business Services, Accounting, Tender Management and Marketing
- Building a scalable platform organization consisting of Product Development, DevOps, UX, Cloud Engineering and Corporate IT
- Introduction of modern product and portfolio governance (e.g. OKRs, portfolio boards, value-based roadmaps) to manage technology-driven initiatives
- Harmonization of heterogeneous system landscapes and transformation into a modular, scalable platform architecture (ERP, CRM, PIM, integrated customer journeys)
- Coaching and development of Product Owners, Tech Leads, Delivery Managers and UX teams in building a scalable product organization
Ramazan C.
Last position:
Fullstack-/DevOps Engineer at BKA (Federal Criminal Police Office)
Development and further development of an internal platform for managing and providing technical resources, virtual machines, and infrastructure services. The platform supports self-service processes and covers functions that are conceptually comparable to cloud management solutions like Azure or AWS.
- Responsible involvement in the design, development, and implementation of new backend and frontend features
- Hands-on development with Java, Spring Boot, Python, and Angular
- Implementation of REST interfaces, business logic, validations, and integrations into existing system landscapes
- Further development of modern web interfaces with Angular, including connection to backend services
- Participation in architecture and design decisions within the team, especially with regard to scalability, maintainability, and clean interfaces
- Containerization and deployment of applications with Docker, Kubernetes, and Helm
- Support with CI/CD processes and deployment to Kubernetes-based environments
- Work in the environment of vSphere, Broadcom, GitLab CI/CD, ArgoCD, Maven, npm, and NuGet
- Close collaboration with developers, business teams, DevOps, and other technical stakeholders
- Analysis of technical requirements, deriving suitable solutions, and independent implementation in an agile team
- Use of GitHub Copilot to support code generation, refactoring, test case creation, and technical documentation
Methods/ tools/ technologies: Languages & frameworks: Java (21), Spring Boot (4.x), Python, Angular, Robot Framework, Kubernetes, Helm Persistence: PostgreSQL, MongoDB, Hibernate, Liquibase Architecture & communication: REST, gRPC, GraphQL, Apache Kafka, OpenAPI, Microservices, Event Driven, Domain Driven Design Cloud & infrastructure: Terraform, Docker, Rancher, Helm, Ansible Security: OAuth2, MS (Entra ID), web security, Keycloak (extensions for detailed group rights) DevOps: GitLab CI/CD, Ansible, Maven, Gradle, Grafana, Prometheus, Git, GitHub Copilot Testing & QM: JUnit, Robot Framework, automated component and integration tests, E2E tests with Playwright, Testcontainers, EasyMock Methodology & approach: Kanban, JIRA, Confluence, Clean Code
Santhosh K.
Last position:
Freelance Software Engineer at Zalando SE
- Drive migration of enterprise authorization platform from Styra DAS to open-source OPA via Skipper (Zalando's Golang-based ingress proxy) integration
- Optimise k8s resources and integrate native Prometheus metrics with OPA
- Migrate from internal monitoring solution to Prometheus CRs + Dash0
Tech Stack: Java/Kotlin, Golang, Python, Spring Boot, AWS, Kubernetes, Docker, OpenTofu, Prometheus, Grafana
Arkadius S.
Last position:
AWS Pricing Platform / API & Integration Architecture at Porsche Digital
Development and evolutionary further development of a highly available, cloud-native microservice and integration architecture for dealer and retail processes in the Porsche Car Configurator.
Responsibilities
- Development of Java-/Kotlin-based backend, API, and integration components (Spring Boot)
- Integration of internal and external systems via REST/OpenAPI, GraphQL, Apache Kafka, and AWS SQS (synchronous and asynchronous)
- Implementation of stable, high-performance communication and data flows in a cloud-native platform architecture
- Processing of structured data formats (JSON, Protobuf, GraphQL schemas) based on existing API patterns
- Performance optimization of distributed microservices with reduced response times and higher operational stability
- Technical tests (unit, integration, and API tests) as well as error analysis in production-like environments
- AWS Infrastructure as Code with Terraform and AWS CDK
- CI/CD automation (build, test, and deployment pipelines) with GitHub Actions
- AI-supported feature implementation (GitHub Copilot Agent)
Label: Kotlin, Java 25, Spring Boot 4, Protobuf, TypeScript, AWS, Terraform, CDK, Apache Kafka, AWS SQS, REST/OpenAPI, GraphQL, JSON, PostgreSQL, Docker, GitHub Actions, Maven, Gradle, JUnit, Mockito, Testcontainers
Ivan V.
Last position:
Senior DevOps Engineer at 58agents
- Provision Kubernetes infrastructure on Azure, GCP, or bare-metal at the hosting provider
- Design and implementation of REST and GraphQL APIs
- Cloud governance (cost, compliance, security)
- Infrastructure-as-Code and CI/CD as code (Terraform, Ansible)
- Container technologies (Docker, Helm)
- Maintain and improve CI/CD pipelines (GitLab CI, GitHub Actions), Argo CD
- Deployment, scaling, and monitoring of microservices
- Distributed event streaming (Kafka)
- Message brokers RabbitMQ, MQTT
- Software development from scratch or further development of existing projects using PHP, Python, Go, C#, and Bash
Selvaraj K.
Last position:
Senior Full Stack & Cloud Architect at HCLTech
- Led end-to-end implementation of the Miles and More Credit Card Service integrating with TSYS systems on Microsoft Azure
- Architected secure, scalable APIs and microservices using Spring Boot, Camunda, and Apache Kafka (Confluent Platform) for real-time event streaming and process automation on Azure Kubernetes Service
- Managed full development lifecycle of the credit card system on Azure Cloud including fraud detection, payment processing, account management, and Kafka-based event-driven data pipelines
- Designed and implemented Kafka Connect integrations and Schema Registry for seamless data flow between microservices and legacy systems
- Introduced Agile best practices, improving team efficiency by 30% and reducing project delivery time
- Directed and mentored a team of 15+ developers fostering a collaborative, cloud-first, and innovation-driven culture
- Managed client relationships achieving 95% satisfaction and securing follow-up projects through consistent delivery excellence
- Designed and deployed BPMN/DMN models in Camunda for complex business workflows and automation
- Configured Camunda Engine with advanced features such as error handling, RPA integration, and multi-version deployments
- Integrated Camunda and Kafka-based messaging with core banking systems ensuring high availability and data consistency
- Managed multi-database schema configurations on Azure and optimized system performance for high throughput and fault tolerance
- Designed and implemented cloud architecture patterns on Azure focusing on multi-region resilience, data sovereignty, and event-driven scalability for critical financial workloads
Tino T.
Last position:
Director Technology at Forte Digital Germany
- Leading 20+ staff in development, site reliability engineering, and architecture.
- Leading the group-wide agentic AI initiative (Norway, Poland, Germany).
- Hands-on solution architect and AI consultant for over 50% of my working time on client projects in the publishing sector – from local publishers to international corporations.
- Strategic consulting and technical implementation of AI workflow platforms (n8n, Workato).
- Developing prototypes for traditional, AI-based, and agentic AI workflows.
Jürgen F.
Last position:
AR/VR/XR Architect at Deutsche Telekom
- Defined a generic, universal system platform for XR (AR, VR) use cases as part of the European IPCEI initiative
- Evaluated available options for backend, streaming and client implementations
- Developed PoC implementations and conducted technical evaluation of potential components
- Led the development team and defined the target system architecture for a complete end-to-end solution
- Designed and integrated GenAI PoCs (LLM, time series, prediction, agents)
- Researched NeRFs and Gaussian Splatting for XR content creation and analyzed methods to measure and reduce system latencies
- Worked on GPU scheduling, CUDA and related topics
- Defined and implemented backoffice and end user dashboards using Grafana and Superset
- Used Jaeger tracing to analyze specific events
- Defined a GenAI-based automatic alerting feature for specific events and event clusters with KPI values
- Integrated AR/VR/XR IoT devices
- Collaborated with business development and UX teams in a parallel design thinking track to align technical and customer journey scopes
- Integrated the new services and platform into existing telco environments and analyzed tools like Camara for partial integration and handover scenarios
Khaled M.
Last position:
Senior/Staff Backend Engineer at Heycar (Mobility Trader GmbH)
- Heycar is a leading automotive platform redefining the used car market through intelligent data pipelines, multi-tenant services, and dealer-focused tooling. I led initiatives across backend architecture, data ingestion, and identity management to enhance scalability, reliability, and developer productivity.
- Ingestion Platform: Designed a unified ingestion platform with YAML-based configuration, enabling new dealer data pipelines to be onboarded without code changes, cutting setup time from ~2 months to 2-3 days and improving scalability by 40%.
- Keycloak Leadership: Acted as the company's Keycloak expert, scaling it for multi-tenant identity management and extending functionality with custom plugins and delegated admin APIs.
- Back-Office Tooling: Developed a back-office application integrated with Salesforce, enabling dealers to manage inventory, convert leads, and handle support requests in real time.
- Multi-Tenant Migration: Collaborated across backend teams to migrate Heycar's core services into a unified multi-tenant cluster, ensuring high availability.
- Frontend CI Optimization: Optimized monorepo delivery by implementing CircleCI dynamic config with NX, deploying only affected UI projects and drastically cutting build times.
- Observability & Mentorship: Enhanced monitoring and release reliability while mentoring backend engineers and improving code review standards.
Tejasvi Y.
Last position:
Backend Engineer at N26
- Developed and maintained Kotlin-based microservices with Kafka event streaming, applying Hexagonal Architecture and Domain-Driven Design in production environments.
- Contributed to the Bring-Your-Salary feature, enabling seamless onboarding of new salary accounts and improving customer experience.
- Built and integrated services for the FPAD VOP platform, supporting secure and scalable partner integrations.
- Investigated and resolved production incidents through root cause analysis (RCA), implementing fixes that improved service stability and reliability.
Discover over 15,000 top freelancers
Statistics of experts using Event Streaming
Aggregated from the professional profiles of matched freelancers.
Experience
19 years

Position duration
2.1 years

Positions per freelancer
11

Top business areas
Information Technology, Product Development, Operations

Top industries
Information Technology, Automotive, Banking and Finance

Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
36%

Certifications per freelancer
2

Most common languages
German, English, Arabic

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 Event Streaming
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.
Event Streaming 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%)
- Automotive (73%)
- Banking and Finance (64%)
- Healthcare (45%)
- Insurance (45%)
- Transportation (45%)
- Energy (36%)
- Manufacturing (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Real-time data flows
Event streaming moves records continuously as events occur instead of waiting for scheduled batches. Producers publish facts such as payments, sensor readings or customer actions, while consumers react to them independently. This supports responsive applications, live analytics and loosely coupled services.
Core architecture
A typical system uses topics, partitions, brokers, producers and consumers. Events remain available for a defined retention period, allowing services to replay data and recover from failures. Strong designs define event schemas, ownership, ordering rules, delivery guarantees and handling for duplicates.
Ecosystem and tooling
- Apache Kafka clusters and Kafka Connect integrations
- Apache Flink, Kafka Streams or similar processing pipelines
- Schema Registry with Avro, Protobuf or JSON schemas
- Observability for lag, throughput, errors and consumer health
- Kubernetes, cloud services and automated deployment workflows
Event streaming specialists often work across Java, Scala, Python, SQL and infrastructure automation. They also connect operational databases, APIs, warehouses and messaging systems without losing traceability.
Where it delivers value
Companies use event streaming for fraud detection, order and inventory updates, logistics tracking, industrial telemetry and personalized customer experiences. It can feed data lakes and analytics platforms while keeping operational services independent. In Germany, it appears across manufacturing, automotive, finance, retail and logistics environments.
When to bring in expertise
- Services need to react to business events with low delay
- Batch pipelines cannot support current operational decisions
- Kafka or another broker has recurring lag and reliability issues
- Teams need to migrate from point-to-point integrations
- Governance, schemas or replay procedures are unclear
Freelance expertise is useful during architecture decisions, migrations, production hardening and incident reviews. Remote collaboration works well when documentation and ownership are clear; on-site work can help with complex plant or data-centre integration.
What strong specialists deliver
A strong professional links business events to measurable system behaviour. They design for failure, monitor consumer lag, secure access, test replay scenarios and document operational runbooks. They distinguish event-driven communication from simple queues and choose the right retention, partitioning and consistency model.
Quality also shows in clear contracts between teams and careful treatment of personal or sensitive data. The best specialists explain trade-offs in plain language, work effectively with German and international stakeholders, and leave behind maintainable pipelines rather than a fragile broker setup.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Event Streaming.
Event Streaming is used to move facts through a system as they happen. Companies apply it to real-time analytics, fraud checks, order processing, sensor monitoring and communication between distributed services.
Event Streaming usually keeps ordered event data for replay and lets several independent consumers read the same record. A traditional queue often focuses on delivering a message to one consumer and removing it after acknowledgement, although modern products can combine both patterns.
Event Streaming does not require Apache Kafka. Kafka is a common choice, but teams may also use Apache Pulsar, Amazon Kinesis, Google Cloud Pub/Sub, Azure Event Hubs or managed services, depending on retention, operations and cloud requirements.
Event Streaming work often requires knowledge of distributed systems, data modelling, API integration and cloud infrastructure. Useful adjacent skills include Kafka Connect, Schema Registry, Apache Flink, Kubernetes, observability, security and data warehouse integration.
Event Streaming projects need a specialist who has operated systems close to the project's scale and failure risks. For a production rollout, look for practical experience with partitioning, consumer lag, schema evolution, replay, recovery and capacity planning rather than tool familiarity alone.
Event Streaming work is often suitable for remote collaboration from Germany because configuration, code, monitoring and documentation are digital. On-site sessions may still help when the system connects to factory equipment, private networks or operational teams with strict access procedures.
Event Streaming quality is visible in the specialist's questions and design decisions. Ask how they handle ordering, duplicate events, schema changes, backpressure, outages, access control and replay, then request clear diagrams, test plans and operational runbooks.
Event Streaming specialists should clarify the event producers and consumers, delivery guarantees, retention needs, data sensitivity and ownership model. They should also understand the existing broker, deployment environment, monitoring coverage and whether the assignment covers design, migration or production support.
The average hourly rate of freelancers in Germany who have used Event Streaming in their recent projects is 98 €, which corresponds to a daily rate of about 781 € based on an 8-hour working day.
Of the freelancers in Germany who have used Event Streaming in their recent projects, 100% hold at least a Bachelor's degree and 36% hold at least a Master's degree.
On average, freelancers in Germany who have used Event Streaming in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Germany who have used Event Streaming in their recent projects are German (100%), English (100%), and Arabic (9%).
The most common industries among freelancers in Germany who have used Event Streaming in their recent projects are Information Technology (91%), Automotive (73%), and Banking and Finance (64%).
The most common business areas among freelancers in Germany who have used Event Streaming in their recent projects are Information Technology (100%), Product Development (100%), and Operations (55%).
Main locations of FRATCH Experts, who have recently used Event Streaming
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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