Confluent Experts in Germany
in minutes from over 15,000 CVs with the power of AI.Hire experts who work with Confluent Platform, Confluent Cloud, and Kafka-based streaming pipelines, design event-driven services, and tune data flows for reliability. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Confluent
Martin Hermann
Last position:
Lead Product Owner at Energy
- Team leadership: Prioritization and coordination of four cross-functional teams.
- Platform strategy: Development and implementation of strategies to optimize existing IT platforms.
- Stakeholder management: Active management of expectations and communication with internal and external stakeholders.
- Program and innovation management: Prioritization and coordination of cross-department projects as well as innovation initiatives.
- Product Owner consulting: Advising Product Owners with a focus on product development and continuous product improvement.
- Organizational development: Improving communication and decision-making structures across all organizational levels.
- Change management: Implementing best-practice change management methods to ensure continuous optimization and innovation.
- Quality assurance: Ensuring high quality standards in processes, services, and deliverables.
Umut Gülac
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Ali Aminian
Last position:
Platform Engineer & Software Architect at Yatta GmbH
- Architected the Yatta Integration Layer – a config-driven integration platform on Java 25, Spring Boot 4 (WebFlux), Temporal, gRPC and Kafka, enabling new third-party integrations (e.g. AVS fulfillment) via declarative JSON configs with zero code changes.
- Designed and implemented Tink integration with 0Auth IBAN verification to enhance fraud prevention and account validation workflows with Adyen payByBank.
- Architected and implemented an OpenFGA-based authorization model for centralized management of users, groups, and fine-grained access control in the vendor portal.
- Architected and led delivery of the Yatta API Gateway platform using GraphQL Federation, providing a unified enterprise API layer across distributed microservices with centralized authentication, authorization and request orchestration.
- Replaced NGINX + NLB with Istio service mesh and AWS ALB; rolled out WAF, OAuth (Cognito), IP whitelisting and RBAC across environments.
- Migrated CDC from Confluent Cloud connectors to a self-hosted Kafka Connect + Debezium stack, reducing operational cost by ~80% across multiple environments.
- Implemented the Transactional Outbox pattern with Debezium for reliable, exactly-once event publishing to Kafka with Avro and Schema Registry.
- Migrated dunning/payment-recovery workflows from Airflow to Temporal, achieving 99.9% reliability for settlement handling.
- Optimised Apache Airflow with deferrable sensors to handle 1000+ concurrent DAG runs without scaling the worker pool.
- Refactored a monolithic Terraform codebase into 3 modular projects, cutting deployment time by ~45%.
- Stood up full observability with OpenTelemetry, Tempo, Prometheus and Loki; automated dev/staging/prod with ArgoCD, Image Updater and Helm.
- Collaborated with product, operations and engineering stakeholders to define scalable platform architecture and integration standards aligned with long-term business and operational goals.
Srinivasu Kakaraparti
Last position:
Atruvia
Project: Tax Exemption Order Application
The client has an existing application for creating and maintaining tax exemption orders for end customers; design and implementation of a comparable application for internal employees.
- Design and implementation of microservices and the UI for the business area "tax exemption orders" using Domain Driven Design as well as Spring Boot and Angular.
- Implementation of reactive, non-reactive, and asynchronous APIs (Spring REST, WebFlux, GraphQL).
- Development of the Angular application, including state management using Signals, RxJS Observables, and subscriptions.
- Securing the API and the application using OAuth2, JWT, and OpenID Connect.
- Configuration and setup of CI/CD pipelines with Jenkins.
- Collaboration with cross-functional teams and conducting code reviews.
Environment: Java, Spring Boot, Angular 18 & 19 (standalone, signals), RxJs, Bootstrap CSS, Vitesting, OpenShift, Istio, microservices, Kafka, Dynatrace, Jenkins, GitLab, Graylog, Sonar, Oauth2, OracleDB
Alexander Schulze
Last position:
AI Consultant for AI Voice Bot System at Rudolf Hörmann GmbH & Co.KG
- Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
- On-premise AI solutions with high compliance and performance requirements.
- Architecture decisions, operational setup, strategic prioritization & deployment.
- Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
- Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.
Qaiser Abbasi
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices
Patrick Eichler
Last position:
Honorary Lecturer at SRH University Berlin
- Cloud Computing Fundamentals & Architecture: Expertise in core cloud concepts, including the three main Service Models (IaaS, PaaS, SaaS) and diverse Deployment Models (Public, Private, Hybrid, Multi-cloud).
- Modern Application Deployment Strategies (GCP Focus): Instruction on the GCP Application Hosting Spectrum, covering Virtual Machines, Containers (Kubernetes and Cloud Run), Platform as a Service (App Engine), and Serverless Computing (Functions as a Service - FaaS).
- Data Management & Big Data Analytics: Comprehensive coverage of Cloud Storage options (Object, Block, File) and Database solutions, including Relational (Cloud SQL), NoSQL (Firestore, BigTable, Memorystore), and serverless enterprise data warehousing (BigQuery).
- DevOps and Infrastructure Automation: Skills in DevOps principles, including Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC) using tools like Terraform, and implementing effective Monitoring and Logging for system observability.
- Emerging Technologies & Responsible Cloud Use: Focus on crucial topics like Cloud and IoT Security, Identity and Access Management (IAM), data privacy, and the ethical considerations of cloud and massive data collection.
Selvaraj Kannaiyan
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
Armen Markarian
Last position:
CTO/CPO Platform & Technology at Green Mobility Holding
- Overall responsibility for platform transformation across ERP, CRM, PIM, and AI-driven process automation
- ERP transformation: Implementing and migrating to Microsoft Dynamics 365 Business Central
- CRM & growth stack: Implementing HubSpot as the central CRM and a platform for lead and marketing automation
- Product data & commerce enablement: Introducing an ePIM to scale category management and digital commerce processes
- AI-driven process automation: Designing and implementing agent-based AI workflows to automate processes in business services, accounting, tender management, and marketing
- Building a scalable platform organization including product development, DevOps, UX, cloud engineering, and corporate IT
- Implementing modern product and portfolio governance (e.g., OKRs, portfolio boards, value-based roadmaps) to manage technology-driven initiatives
- Harmonizing heterogeneous system landscapes and transforming them into a modular, scalable platform architecture (ERP, CRM, PIM, integrated customer journeys)
- Coaching and developing product owners, tech leads, delivery managers, and UX teams to build a scalable product organization
Alexandru Gunescu
Last position:
Head of Cloud Infrastructure at BP
- Migrated the Electric Vehicle Charging SaaS App of the EV Division from on-premises and Azure to AWS Cloud, resulting in a hybrid multi-cloud multi-tenant solution
- Developed a streaming data pipeline using AWS MSK for Apache Kafka and implemented an event-driven architecture to ingest and process near real-time data from OCPI-protocol IoT devices
- Implemented multi-tenant strategies including database schema isolation, bridge model for resource sharing, and tenant-based RBAC controls
- Provisioned Kubernetes clusters on AWS EKS with namespaces and RBAC for tenant isolation
- Led migration from on-premises and Azure to AWS using AWS DataSync, Snowball, and Database Migration Service
- Orchestrated collaboration across 5+ systems, vendors, service providers, and on-site teams
- Supported development and maintenance of IT strategy aligned with business requirements
- Managed €40 million infrastructure budget with AWS & Azure cost optimization, achieving 15% savings
- Led 50+ developers to implement advanced database procedures, increasing productivity by 20%
- Spearheaded multi-cloud, multi-tenant infrastructure migration for 30% faster processing times
- Negotiated vendor pricing to reduce payroll/benefits administration costs by 20%
- Developed a two-year infrastructure technology roadmap yielding 25% cost savings
- Tech stack: Kubernetes on AWS EKS, Docker, Kafka/AWS MSK, Terraform, AWS CDK, TypeScript, React, NextJS, Node.js, NestJS, Python, Aurora Serverless, RDS (MySQL, SQL Server), GitHub Actions, Azure DevOps, ArgoCD, AWS Lambda, API Gateway, AWS Security Hub, AWS Database Migration Service, AWS DataSync, AWS Organizations, AWS Control Tower, Odoo, Microsoft Navision, MS Dynamics
Peter Großmann
Last position:
Senior Backend Developer at NetCom BW GmbH
- Development of microservices according to the TMF standard
- Adaptation of existing workflows to microservices (PNMGT, RADIUS, WBCI, ACS, VOIP, P2P)
- Migration of communication from RabbitMQ/REST to Kafka
- Development of Camunda processes for billing leased infrastructure
- Implementation of Kafka connectors for billing and inventory data systems
- Automation of the WBCI pre-coordination workflow
- Conducting unit, integration, and acceptance tests with business units
- Setting up CI/CD pipelines
- Troubleshooting support tickets
- Performing major refactorings of legacy code to adapt to new microservices
- Participating in meetings to gather and clarify requirements
- Technologies: Kubernetes, AWS DevOps, Apache Camel, Debezium, Python, TMF, Confluent, Kafka, OpenAPI, Java 21, Spring Boot, Docker, MapStruct, PostgreSQL, Maven, Camunda, Keycloak
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
Bela Bocsak
Last position:
Full Stack Lead Developer, Backend Architect at Telefonica (O2)
The software supports the complete planning and approval of antennas for mobile telephony.
The system was implemented using an event-driven microservice architecture for cloud-native deployment with Quarkus on the backend, Kafka for communication, and Angular for the frontend. Services run on Kubernetes in Google Cloud. A special challenge was synchronizing with the legacy system still used by some users.
Satish Kore
Last position:
Sustainability Intern at Forschungszentrum Jülich GmbH
- Developed energy estimation models to estimate electric charging and hydrogen refueling requirements at charging and refueling stations for logistics trucks in Germany.
- Estimated future freight traffic demand for Germany using an in-house transport demand model.
- Designed a network of electric charging and hydrogen refueling stations based on transport model results, supporting data-driven infrastructure planning.
Discover over 15,000 top freelancers
Statistics of experts using Confluent
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
1.6 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Retail, Automotive
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
82%
Master's degree or higher
27%
Doctorate
9%
Certifications per freelancer
5
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 Confluent
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
Streaming backbone
Confluent is used to build real-time data pipelines and event-driven systems on top of Apache Kafka. It helps companies move events between services, applications, and data platforms without heavy batch jobs.
Typical work includes:
- event streaming architectures
- service integration
- data distribution for analytics
- reliable message delivery
Core ecosystem
Strong Confluent work usually touches Confluent Platform, Confluent Cloud, Schema Registry, Kafka Connect, and ksqlDB. Experts need to understand topics, partitions, retention, serialization, and consumer behavior.
They also work with security, access control, and monitoring so streaming systems stay stable under load.
When companies need help
Companies bring in freelance specialists when they need to move from a simple Kafka setup to a managed Confluent design. That often happens during migrations, platform hardening, or when teams need help with connector strategy and topic design.
In Germany, this often suits distributed teams that need clear documentation and remote collaboration across product and data groups.
Delivery focus
Confluent specialists are often asked to deliver concrete building blocks, not just advice. Common outcomes are connector setups, stream processing logic, schema governance, and rollout plans for production use.
- platform setup and migration support
- connector configuration and testing
- schema management and compatibility rules
- operational runbooks and handover
What strong specialists do
Good Confluent professionals think in data contracts, failure modes, and throughput. They know how to keep producers and consumers decoupled while making events predictable for downstream teams.
They also document naming, ownership, and deployment choices so the system can be maintained after the project ends.
Adjacent skills
Confluent work usually sits close to Kafka, Java, Python, cloud services, and data engineering tools. Depending on the project, specialists may also need REST APIs, Docker, Kubernetes, SQL, or Terraform.
That mix matters when streaming is part of a wider platform rather than a single isolated service.
Frequently asked questions
Everything clients usually want to know about Confluent, in one place.
Confluent is used to build real-time streaming systems around Apache Kafka. Companies use it to move events between services, feed analytics pipelines, sync operational data, and connect systems that should not wait for batch jobs.
Confluent builds on Kafka and adds managed components, governance tools, connectors, and cloud options. Plain Kafka is the core messaging engine, while Confluent is often chosen when teams want a fuller operational and integration layer around it.
A strong Confluent specialist usually knows Kafka topics, partitions, consumer groups, and serialization formats. Useful adjacent skills include Java or Python, cloud services, Kubernetes, Terraform, and schema design.
Confluent expertise helps when a team is starting a streaming platform, migrating from ad hoc Kafka usage, or fixing reliability issues. It is also valuable when the project needs connector design, schema governance, or a clearer production operating model.
Yes, Confluent work is often well suited to remote collaboration because most tasks are design, configuration, and testing focused. For teams in Germany, on-site sessions can still help during architecture workshops, incident reviews, or handover meetings.
Confluent Platform is the deployable product set for running streaming components yourself, while Confluent Cloud is the managed service. The choice usually depends on control, operations effort, and where the surrounding systems already run.
Look for a Confluent professional who can explain trade-offs in topic design, schema evolution, and consumer handling without vague language. Strong people also show clear production examples, naming conventions, monitoring habits, and practical rollback thinking.
A good Confluent freelancer should leave more than working code. Expect clear configurations, connector definitions, schema rules, deployment notes, and runbooks that your team can keep using after the project ends.
The average hourly rate of freelancers in Germany who have used Confluent in their recent projects is 100 €, which corresponds to a daily rate of about 801 € based on an 8-hour working day.
Of the freelancers in Germany who have used Confluent in their recent projects, 82% hold at least a Bachelor's degree, 27% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Germany who have used Confluent in their recent projects have 21 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 Confluent in their recent projects are German (100%), English (93%), and Spanish (7%).
The most common industries among freelancers in Germany who have used Confluent in their recent projects are Information Technology (86%), Retail (64%), and Automotive (57%).
The most common business areas among freelancers in Germany who have used Confluent in their recent projects are Information Technology (100%), Product Development (93%), and Project Management (71%).
Main locations of FRATCH Experts, who have recently used Confluent
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
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
