Kibana Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used Kibana
John A.
Last position:
Software Developer and DevOps Engineer at Bundesrechenzentrum (BRZ)
Refactoring and improving core APIs; implementing client change requests. Setting up metrics, traces, and logs monitoring infrastructure to support operations. Designing GitOps deployment and infrastructure as code. Applications and systems configuration in ArgoCD and Openshift. Confluence documentation of design, approach, and solution. Tech Stack: Java 8 & 21, Spring framework, JSP, JavaScript, Bash scripts, SQL, Grafana Stack, OpenTelemetry, Docker, DB2, Maven, Kubernetes Kompose.
Michail M.
Last position:
OpenShift / Kubernetes Consultant at cloudWerkstatt
Implementation and operation of OpenShift / Kubernetes solutions for customers, focusing on aspects such as storage, virtualization, security, logging, monitoring, and high availability. Support with application containerization and modernization.
Kurt B.
Last position:
Backend / Microservices Developer, DevOps, Test Automation at Fa. RCA, Rail Cargo Austria AG
- Backend / Microservices Developer, DevOps, Test Automation
- ~100 Developers, ~10 Teams, per Team: 1 PO, 1 ScrumMaster, 1UX, 1 Developers, 1 Tester
- .net core 8, 9, C#
- Microservices, Clean Architecture, MediatR, CQRS
- GraphQL, REST, SDL
- Azure DevOps, CI / CD pipelines, Azure Service Bus, Rabbit-MQ, Kafka, Azure App Configuration, Azure KeyVault, Azure Kubernetes AKS
- Splunk, dashboards, custom metrics, Elastic-Search, Kibana (ELK)
- Azure SQL Databases, Azure Cosmos DB
- Architecture decisions, event governance, COP (Backend, DevOps, FrontEnd, Test Automation)
- AI, Copilot, creating Test Templates
- Scheduler, Hangfire, Quartz
- Automated Unit and Integration Tests
- Automated E2E Tests, Playwright Test Automation, BDD, Gherkin, Cucumber
- Shipment tracking
- GIS, GPS data, geofence, geo search, position tracking, asset positions
- Jira, Confluence
- Focus on high-performance message-oriented architecture (~xx e6 messages / month / service)
- Structured logging, Serilog, OTel, Splunk, Application Monitoring
- Integration of different position data sources (GPS-based data) into AzureDataLake
Vladislav F.
Last position:
Senior Test Automation Engineer / Test Manager at Stadt Wien – WUKSEA
- Creation of test scenarios, manual test cases and test data using boundary value analysis and equivalence partitioning
- Execution of functional and non-functional tests (manual with Postman and web application, automated with WebDriver, JUnit and NUnit)
- Setup, automation and maintenance of the Test Automation Framework with Java, Spring Boot, Selenium and Cucumber in IntelliJ (system, regression, smoke, UI and integration tests for web frontend and SOAP API backend interfaces)
- Automation of backend NUnit test cases in Visual Studio
- Test management: development and implementation of the test strategy and test plans, test coordination, quality responsibility and prioritization of risk-based tests, as well as documentation management in Confluence
- Detailed analysis and quality assurance of requirements
- Creation and maintenance of Jenkins pipelines, quality assurance during build & deployment
- Close cooperation with business analysts, developers, testers and test management
- Identification, creation and tracking of errors/defects, as well as careful test documentation
- Reporting of test results and defect reports
- Monitoring of test processes and continuous improvement
- Verification of test data and test results in a PostgreSQL database in pgAdmin
- Support with effort estimates and backlog prioritization
- Analysis and debugging of development code
System environment: Java, JUnit, Spring Boot, Selenium, Cucumber, JavaScript, Jenkins, C#, NUnit, Postman, Bitbucket, Confluence, Jira, xRay, pgAdmin, PostgreSQL, SonarQube, Maven, IntelliJ, Visual Studio, CI/CD, SOAP API interfaces
Hannes K.
Last position:
Business Analyst, Scrum Master, Electronic Legal Communication / Agile Coach at Bundesrechenzentrum GmbH (Bundesministerium für Justiz)
- Backlog Management
- Scrum Master
- PO for the Ministry of Justice
- Optimizing Agile Processes
- Classic Business Analysis, User Stories and Testing
- Operational Topics like Nagios Monitoring and Incident Handling
Tools:
- Jira / Confluence
- SQL Developer
- Elastic / Kibana
- Visual Studio Code
Nedim K.
Last position:
Manual Tester and Test Automation Engineer at IT-Systemhaus der Bundesagentur für Arbeit
- Design appropriate test cases to verify the GUI in Azure Test Plans
- Creation and execution of manual test cases
- Test design for user stories to be implemented in the current sprint
- Analysis of deviations/bugs based on log files and Kibana dashboards
- Creation of bug tickets with error description, screenshots, and short videos
- Prioritization of open bug tickets together with the PO
- Retest of bugs and hotfixes
- Execution of manual tests to ensure a 100% fulfillment rate of all functional requirements
- Selection, installation, and maintenance of a test automation tool (Selenium)
- Implementation of automated regression tests
- Continuous expansion of the object repository and adaptation of automated test cases (acceptance, integration, and system tests)
- Creation of test logs before each sprint change
Dominic W.
Last position:
Engineer / Architect at Freelancer
- Magento 2
- Symfony
- Various technologies
Discover over 15,000 top freelancers
Statistics of experts using Kibana
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.1 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Quality Assurance, Product Development
Bachelor's degree or higher
80%
Master's degree or higher
40%
Certifications per freelancer
5
Most common languages
German, English, Bosnian
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 Austria 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 Austria using Kibana
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.
Kibana 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 (71%)
- Transportation (71%)
- Government and Administration (71%)
- Insurance (57%)
- Education (29%)
- Healthcare (29%)
- Professional Services (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Kibana at a glance
Kibana is the visual analysis and management interface for Elasticsearch. It turns indexed logs, metrics, traces and business records into searchable views, dashboards and alerts. Teams use it to understand system behaviour, investigate incidents and share operational insight across an organisation.
Dashboards and discovery
Kibana specialists design dashboards for observability, security operations, product analytics and service reporting. They configure saved searches, data views, filters, drilldowns and visualisations so each audience can move from a broad signal to the underlying event. Lens, Discover and Dashboard are central parts of this work.
- Create dashboards for logs, metrics and traces
- Build visualisations with Lens and aggregation data
- Configure filters, drilldowns and reusable views
- Prepare spaces and access rules for different teams
Elastic ecosystem
Effective Kibana work depends on a wider Elastic Stack setup. Strong professionals understand Elasticsearch mappings, index templates, ingest pipelines, Beats, Elastic Agent and Logstash, as well as Elastic Observability and Elastic Security. They may also work with APM data, alerting rules, Fleet and integrations for cloud and infrastructure services.
Projects that need it
Companies bring in freelance Kibana expertise when dashboards have become hard to trust, searches are slow or operational data is scattered across tools. Typical assignments include observability rollouts, SIEM visualisation, migration from older Elastic Stack versions, dashboard redesign and incident investigation workflows.
- Connect application, infrastructure and security data
- Improve log discovery and incident triage
- Migrate saved objects and visualisations safely
- Define alert views for operations and security teams
Working across Austria
Kibana projects appear in software, manufacturing, finance, retail, logistics and public-sector environments across Austria. Remote collaboration usually works well when data access, environments and ownership are clearly documented. On-site workshops can help with dashboard design, stakeholder interviews and operational handover, while German or English communication may be needed depending on the team.
What strong experts deliver
Good Kibana professionals connect visual design with reliable data engineering. They ask what decisions a dashboard must support before choosing a chart, validate queries against real events and keep performance in view. They also document data views, alert logic, permissions and maintenance steps so the result remains useful after delivery.
Look for experience with Elasticsearch query DSL, aggregations, index lifecycle management and role-based access. The strongest specialists can explain trade-offs between Kibana features, identify gaps in the underlying data and work calmly with operations, security and product stakeholders.
Frequently asked questions
Not sure where to start with Kibana? These answers cover the essentials.
Kibana is used to search, analyse and visualise data stored in Elasticsearch. Companies use it for log analysis, infrastructure monitoring, application performance, security investigations, alerting and operational reporting.
Kibana is closely integrated with Elasticsearch and is especially effective when teams already use the Elastic Stack for logs, traces or security data. Grafana is often chosen for broad metrics visualisation across many data sources, while Splunk provides a separate data and analytics ecosystem with its own operating model.
Kibana work benefits from Elasticsearch query DSL, mappings, aggregations, index lifecycle management and ingest pipelines. Depending on the project, useful adjacent knowledge includes Logstash, Beats, Elastic Agent, APM, Fleet, Elastic Security and cloud infrastructure.
Kibana dashboard changes may suit a specialist familiar with the relevant data and access model, but larger observability or security projects need deeper Elastic Stack experience. The right level depends on data volume, query complexity, permissions, integrations and whether the specialist must also improve the underlying Elasticsearch setup.
Kibana projects are often well suited to remote collaboration because dashboards, saved objects and configuration can be reviewed online. Secure access to environments, clear ownership of data and regular workshops are essential; on-site sessions can still be valuable for discovery and stakeholder alignment.
Kibana quality is visible in dashboards that answer clear operational questions rather than simply displaying many charts. Review how the specialist handles query performance, data quality, permissions, alert noise, documentation and handover, and ask for examples of decisions their dashboards supported.
Kibana can provide a strong analysis and visualisation layer, but it does not automatically replace every monitoring, ticketing or security workflow. Its value depends on the quality of Elasticsearch data and how it connects with alerting, incident response, infrastructure monitoring and existing operational processes.
Kibana specialists may deliver dashboards, saved searches, visualisations, data views, alert rules and access configurations. They can also document the Elastic Stack setup, migrate saved objects, improve log pipelines and train teams to investigate events without relying on the specialist.
The average hourly rate of freelancers in Austria who have used Kibana in their recent projects is 97 €, which corresponds to a daily rate of about 778 € based on an 8-hour working day.
Of the freelancers in Austria who have used Kibana in their recent projects, 80% hold at least a Bachelor's degree and 40% hold at least a Master's degree.
On average, freelancers in Austria who have used Kibana in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Austria who have used Kibana in their recent projects are German (100%), English (100%), and Bosnian (29%).
The most common industries among freelancers in Austria who have used Kibana in their recent projects are Information Technology (100%), Banking and Finance (71%), and Transportation (71%).
The most common business areas among freelancers in Austria who have used Kibana in their recent projects are Information Technology (100%), Product Development (86%), and Operations (57%).
Main locations of FRATCH Experts, who have recently used Kibana
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:
- Germany
- Austria
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