Apache Kafka Experts in Zurich
for reliable event streaming, matched in minutes with vetted and available freelancersHire experts who design event-driven systems, build Kafka Streams and Connect pipelines, and operate high-volume data platforms. FRATCH matches you quickly and precisely with vetted, available freelancers for your Apache Kafka project.
Meet FRATCH Experts in Zurich, who have recently used Apache Kafka
Patrick B.
Last position:
Senior Software Engineer at On AG
- Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
- Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
- Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
- Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
- Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
- Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
- Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."
Mohamad K.
Last position:
Senior Backend Developer at Standing on Giants
- Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
- Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
- Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
- Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
- Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
- Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
- Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
- Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
- Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
- Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
- Developed and optimized Algorithms using python libraries like Numpy and Pandas.
Christoph P.
Last position:
ICT DevSecOps Engineer & Security Coordinator at Abraxas Informatik AG
- Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
- Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in a 30% shorter onboarding time for new clients in the public sector.
- Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
- Reduced time to market by 50% by optimizing CI/CD pipelines and establishing self-service deployments.
- Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB
Christian B.
Last position:
5G Campus Product Advisor Telco at German railway group
- Definition of a product concept and end to end solution delivery (turnkey) for a Digital Efficiency Hub for Railway Maintenance based on 5G campus networks. Integration of various hardware and software systems in a comprehensive delivery with success metrics. Laise the concept and process across the enterprise. Compliant process definition and financial management with commercial model.
Technologies: 5G, RAN, SAP, Cloud, Enterprise Architect, Autonomous Robots, ITIL, CoBIT, TBM, BSI, ISO 27001
Piotr S.
Last position:
CTO Program Manager, Theme Owner / Senior Project Manager at Avaloq Group AG
- Clients: Central banks of the most developed economies in the world, German, Swiss, Luxembourgish, Monegasque, Singaporean, Japanese wealth managers and universal/private banks, world’s largest investment banks
- Accountable for managing the delivery of a portfolio of digital wealth and consumer relationship management initiatives
- Project managing portfolios of projects within CTO product and technology business area (cyber security, architectural changes, re-organisational transformation, 3rd party apps)
- Products: Kernel & Parametrisation for Core Avaloq Banking Platform; modules: CRM, client data management, wealth management, portfolio management (generating over 90% of company revenues)
- Key responsibilities:
- Reporting to Head of Disruptive Innovation Division; stakeholder to five product owners & two domain owners
- Accountable for delivery of annual themes and quarterly key deliverables
- Managing demand vs supply via QBR process: book of work, execution, reporting, risk management
- Directly managing around 40 external consultants (front-end/back-end engineers, BAs, designers)
- Hiring and managing resources in eight countries
- Running quarterly divisional closure meetings presenting achievements and challenges
- Resolving cross-team dependencies and internal/external conflicts
- Owning and controlling maintenance budget; planning, forecasting, execution; ensuring demand matches supply
- Identifying and staffing key roles with chapter leads
- Approach: Agile, Scrum of Scrums, QBR/OKRs
- Technology: Angular, PL/SQL, JavaScript, Confluence, JIRA (JQL)
Ursula M.
Last position:
Business Mentor at RoleModel Rebels
- Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.
Fabian K.
Last position:
Lecturer at HWZ University of Applied Sciences
- Co-teach in CAS AI Management and CAS AI Innovation programs for future AI managers
- Cover topics including data platforms, AI architecture, technology adoption foundations, and factors influencing enterprise AI initiative success
Csaba K.
Last position:
ServiceNow Consultant at DXC
- Worked in mixed teams with several clients
- Performed requirement engineering, proposal and time estimation
- Developed ACLs, business rules, flows, workflows, catalog items, various scripts, UI actions, policies, scoped applications
- Customized mobile apps: Now Agent and Now Mobile
- Implemented integrations using the Integration Hub
- Coordinated continuously with clients during development
- Performed testing and helped clients with testing
- Deployed to production and applied main version upgrades and patches
- Managed CMDB, domain separation and asset management
- Integrated between instances at different clients
- Developed GlideScript: business rules, scripted REST endpoints, extension points, fix scripts, background scripts
Karl E.
Last position:
incl. CI/CD, automation at AALS Software AG
- Designed and delivered a practical real-time course on Flink and Hadoop with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, and Kafka
- Gained extensive DevOps and CI/CD experience
- Created ETL/ELT pipelines with Apache tools and Pentaho
- Led projects in municipal software, financial services, and big data with Kafka
- Developed AI/NLP models and chatbots with RASA, Chatter, and Dialogflow
- Built and managed a TypeDB knowledge database
- Worked with OpenStack, Kubernetes, and Podman
Nenad T.
Last position:
Contractor at Swisscom
- SAP Data Designer ETL, SQL Server, Docker for PharmaSuisse Data Warehouse Application (Application Manager and Developer)
- SAP Business Objects, ABAP on SAP HANA for the Police of the Canton of Bern (Application Manager and Developer)
- Avaloq Connectors to SAP BW for Banque Cantonale de Fribourg
Milica M.
Last position:
Full-Stack Developer at Holycode
- Contribute to a cross-functional team building a cloud-based bookkeeping platform for SMEs
- Design and implement Java Spring Boot microservices with clear separation of concerns
- Integrate core services via REST and gRPC APIs
- Implement event-driven workflows using RabbitMQ for reliable, decoupled messaging
- Model and manage transactional data in PostgreSQL and leverage Redis for caching
Discover over 15,000 top freelancers
Statistics of experts using Apache Kafka
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.2 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Product Development, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
80%
Certifications per freelancer
3
Most common languages
English, German, Spanish
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 Zurich 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 Zurich using Apache Kafka
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.
Apache Kafka 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 (100%)
- Banking and Finance (91%)
- Education (55%)
- Healthcare (55%)
- Insurance (55%)
- Professional Services (55%)
- Government and Administration (55%)
- Retail (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Event streaming
Apache Kafka is a distributed event streaming platform for publishing, storing and processing records in real time. Companies use it to connect services, move operational data and create durable streams of events. Its log-based design supports replayable data and decoupled systems.
What Kafka builds
Kafka appears in systems that need reliable data movement between applications, databases and analytics tools.
- Event-driven microservices and service integration
- Real-time analytics, monitoring and fraud detection
- Data pipelines for warehouses, lakes and operational stores
- Change data capture and system synchronization
Ecosystem and tooling
Strong Apache Kafka specialists work across brokers, topics, partitions, replication and consumer groups. They may also use Kafka Streams for in-stream processing, Kafka Connect for integrations and Schema Registry for governed message formats. Confluent distributions and managed Kafka services are common in production environments.
When expertise matters
Companies bring in freelance expertise when a Kafka rollout must handle uneven traffic, strict delivery guarantees or a growing number of data producers and consumers. Specialists can review an existing cluster, plan migrations, establish observability or resolve lag, rebalancing and throughput issues. In Zurich, they may collaborate remotely or work with local teams in English and other business languages.
Delivery and operations
A capable professional turns business events into clear topic and schema designs. They define retention, partitioning, replication and access policies, then automate deployment and testing. Production work often includes security with TLS and SASL, monitoring consumer lag, backup planning and controlled upgrades.
Signs of quality
Look for practical evidence rather than familiarity with terminology. A strong specialist explains trade-offs and connects architecture to business requirements.
- Designs idempotent producers and resilient consumers
- Selects schemas, keys and partition strategies deliberately
- Tests failure recovery, ordering and delivery semantics
- Documents operations, alerts and ownership clearly
- Measures outcomes through reliable data and service behavior
Frequently asked questions
Before you brief your next project: the most common questions about Apache Kafka.
Apache Kafka is used to transport and process streams of events between systems. It supports service integration, real-time analytics, change data capture and asynchronous workflows without tightly coupling the participating applications.
Kafka keeps ordered event logs that consumers can read again, while many traditional queues remove messages after consumption. That makes Kafka a strong fit for replayable data pipelines and multiple independent consumers, though simpler queues may be easier for short-lived task delivery.
Apache Kafka offers a broad ecosystem, portable APIs and detailed control over topics, retention and deployment. Managed cloud services reduce operational work, but teams should compare compatibility, governance, latency, portability and the level of infrastructure control they require.
Apache Kafka work often overlaps with Java, Scala, Python or Go, depending on the surrounding services. Useful adjacent skills include Kafka Streams, Kafka Connect, Schema Registry, Kubernetes, infrastructure automation, observability, databases and cloud networking.
Kafka experience should match the system’s risk and operating demands rather than a fixed time requirement. A contained integration may need strong application and messaging skills, while a distributed production platform calls for proven knowledge of replication, recovery, security, scaling and incident handling.
Apache Kafka projects are often suitable for remote collaboration because configuration, code, dashboards and documentation can be shared securely. On-site work in Zurich can still help with workshops, architecture decisions or coordination across teams, while clear communication and agreed working languages remain essential.
Kafka professionals should explain why they choose a partition key, delivery guarantee, retention policy and schema approach. Ask for examples of failure testing, consumer-lag diagnosis, security controls and operational documentation, not only a list of tools.
Apache Kafka may be excessive for a small application with simple point-to-point messaging and limited operational needs. A lighter queue, database or managed event service can be more suitable when replayable streams, many consumers and independent scaling are not important.
The average hourly rate of freelancers in Zurich, Switzerland who have used Apache Kafka in their recent projects is 97 €, which corresponds to a daily rate of about 777 € based on an 8-hour working day.
Of the freelancers in Zurich, Switzerland who have used Apache Kafka in their recent projects, 100% hold at least a Bachelor's degree and 80% hold at least a Master's degree.
On average, freelancers in Zurich, Switzerland who have used Apache Kafka in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Zurich, Switzerland who have used Apache Kafka in their recent projects are English (100%), German (73%), and Spanish (27%).
The most common industries among freelancers in Zurich, Switzerland who have used Apache Kafka in their recent projects are Information Technology (100%), Banking and Finance (91%), and Education (55%).
The most common business areas among freelancers in Zurich, Switzerland who have used Apache Kafka in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (64%).
Main locations of FRATCH Experts, who have recently used Apache Kafka
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.
Countries:
Zurich 
Geneva Basel Bern Request a free demo
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