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Kibana Experts in Austria

to turn observability data into decisions with vetted, available freelancers

Hire experts who build Kibana dashboards, investigate Elasticsearch data and improve log, metric and security monitoring. Get precise access to vetted, available freelancers matched to your needs in minutes.

Meet FRATCH Experts in Austria, who have recently used Kibana

Verified expert

Hannes K.

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Head of Development

Graz
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
Verified expert

Michail M.

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Experienced Software Developer and OpenShift Specialist, Application Architect with a focus on / experience in containerizing

Vienna
Michail M.

Last position:

OpenShift Specialist, Developer at Insurance

Project goal: Introduce OpenShift as the run-time platform and migrate all applications to OpenShift.

My contribution: Make sure logging and monitoring for the applications were in place. Set up and put into operation the OpenShift components for logging and monitoring (Elasticsearch, Prometheus, and Grafana). Develop and implement the security concept for OpenShift. Work with developers to define and carry out the application changes needed for the OpenShift migration. Integrate monitoring into the applications.

Technical environment: Java, WebSphere Liberty, OpenShift components, Elasticsearch (ELK stack), Prometheus, Grafana.

Verified expert

Vladislav F.

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Senior Test Automation Engineer / Test Manager

Vienna
Vladislav F.

Last position:

Senior Test Automation Engineer / Test Manager at Stadt Wien – WUKSEA

  • Creating test scenarios, manual test cases and test data using boundary value analysis and equivalence classes
  • Executing functional and non-functional tests (manually with Postman and web application, automated with WebDriver, JUnit and NUnit)
  • Setting up, automating and maintaining the test automation framework with Java, Spring Boot, Selenium and Cucumber in IntelliJ (system, regression, smoke, UI and integration tests for web front-end and SOAP API backend interfaces)
  • Automating backend NUnit test cases in Visual Studio
  • Test management: developing and implementing test strategy and test plans, controlling tests, quality ownership and prioritizing risk-based tests, as well as maintaining documentation in Confluence
  • Detailed analysis and quality assurance of requirements
  • Creating and maintaining Jenkins pipelines, ensuring quality in build & deployment
  • Close collaboration with business analysts, developers, testers and test management
  • Identifying, creating and tracking defects/bugs, with thorough test documentation
  • Reporting test results and defect reports
  • Monitoring test processes and continuous improvements
  • Reviewing test data and test results in PostgreSQL database via pgAdmin
  • Supporting effort estimation and backlog prioritization
  • Analyzing and debugging 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
Verified expert

Nedim K.

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Manual Tester and Test Automation Engineer

Vienna
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
Verified expert

Kurt B.

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Backend / Microservice Developer, DevOps, Test Automation

Leonstein
Kurt B.

Last position:

Backend / Microservice Developer, DevOps, Test Automation at RCA, Rail Cargo Austria AG

  • Backend / Microservice Developer, DevOps, Test Automation
  • ~100 Devs, ~10 Teams, per team: 1 PO, 1 Scrum Master, 1 UX, 1 Developer, 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, FrontEnt, Test Automations)
  • AI, Copilot, creating test templates
  • Scheduler, Hangfire, Quartz
  • Automated unit and integration tests
  • Automated E2E tests, Playwright test automation, BDD, Gherkin, Cucumber
  • Tracking of shipments
  • GIS, GPS data, geofence, geo search, position tracking, asset positions
  • Jira, Confluence
  • Focus on high-performance message-oriented architecture (~xx million messages per month per service)
  • Structured logging, Serilog, OTel, Splunk, Application Monitoring
  • Integration of different position data sources (GPS-based data) into Azure Data Lake
Verified expert

Dominic W.

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Engineer / Architect

Köflach
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

Kibana experts in Austria have 22 years of professional experience on average.

Position duration

2.1 years

Kibana experts in Austria stay in a single position for 2.1 years on average.

Positions per freelancer

14

Kibana experts in Austria have completed 14 positions on average over the course of their careers.

Top business areas

Information Technology, Product Development, Operations

Kibana experts in Austria have gathered most of their hands-on project experience in Information Technology, Product Development, and Operations.

Top industries

Information Technology, Banking and Finance, Transportation

Kibana experts in Austria are most in demand in Information Technology, Banking and Finance, and Transportation.

Certification focus areas

Information Technology, Product Development, Quality Assurance

Kibana experts in Austria earn their certifications most often in Information Technology, Product Development, and Quality Assurance.

Bachelor's degree or higher

80%

80% of Kibana experts in Austria hold at least a Bachelor's degree.

Master's degree or higher

20%

20% of Kibana experts in Austria hold at least a Master's degree.

Certifications per freelancer

4

Kibana experts in Austria hold 4 professional certifications on average.

Most common languages

German, English, Bosnian

Kibana experts in Austria most often speak German, English, and Bosnian.

Speak two or more languages

100%

100% of Kibana experts in Austria speak two or more languages.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 1 2 3 4
One of the Kibana experts in Austria charges less than €720 per day.
3 of the Kibana experts in Austria charge between €720 and €800 per day.
2 of the Kibana experts in Austria charge €960 or more per day.
<€720 €720-​800 €960+

The chart shows how the daily rates of freelancers in this technology in Austria 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 Austria using Kibana

Rates are based on recent contracts and do not include FRATCH margin.

800
600
400
200
Rate comparison chart
Daily rate avg. 782 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 720 €

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.

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%)
  • Professional Services (43%)
  • Education (29%)
  • Healthcare (29%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

What Kibana does

Kibana is the visualization and exploration interface for Elasticsearch. It helps teams search logs, inspect metrics, analyze traces and present operational data in dashboards. As part of the Elastic Stack, it turns large volumes of indexed information into views that support faster investigation and clearer reporting.

Core use cases

Kibana supports operational, security and business analysis across many environments:

  • Build dashboards for application health, infrastructure and service availability
  • Explore logs with filters, queries, saved searches and drilldowns
  • Investigate security events with Elastic Security views and timelines
  • Track metrics, traces and user experience through observability tools
  • Share scheduled reports and visual summaries with business teams

Ecosystem and tooling

Strong Kibana specialists understand how visualizations depend on Elasticsearch data, mappings, index patterns and data views. They commonly work with Elastic Agent, Beats, Logstash, Fleet, Elastic Security and Elastic Observability. Useful skills also include KQL, dashboards, alerting, role-based access control and integrations with cloud or container environments.

When companies need help

Companies often bring in freelance expertise when Kibana dashboards have become difficult to maintain, operational data is spread across inconsistent indices or teams cannot turn alerts into useful investigations. Specialists can also support an Elastic Stack rollout, migrate legacy visualizations, standardize dashboard design or prepare Kibana for a new monitoring and security workflow. In Austria, remote delivery is common, while workshops and access planning may benefit from on-site collaboration.

What strong experts deliver

A capable professional starts with the questions users need to answer, not with decorative charts. They define useful data views, choose visualizations that match the data, improve query performance and create navigation that helps teams move from overview to root cause. They also document index dependencies, permissions, alert rules and dashboard ownership so the setup remains reliable after handover.

How to assess expertise

Look for practical evidence of dashboards used in live operations, security investigations or service monitoring. Ask how the specialist handles high-cardinality fields, changing mappings, noisy logs, time zones and access restrictions. Quality work includes readable KQL, consistent naming, tested alerts, suitable retention assumptions and clear explanations for both technical and non-technical users. Experience with German and English stakeholders can be valuable for Austrian teams.

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Frequently asked questions

Not sure where to start with Kibana? These answers cover the essentials.

Kibana is used to search, visualize and analyze data stored in Elasticsearch. Companies use it for log analysis, infrastructure monitoring, security investigations, dashboards, alerts and operational reporting.

Kibana is closely integrated with Elasticsearch and is especially effective for exploring indexed logs, security events and Elastic Observability data. Grafana often offers broader support for multiple data sources, so the right choice depends on the existing data architecture and the depth of Elasticsearch integration required.

A strong Kibana specialist usually understands Elasticsearch mappings, queries, index lifecycle management and data ingestion. Useful adjacent skills include Logstash, Elastic Agent, Beats, Fleet, KQL, Elastic Security, Elastic Observability and role-based access control.

The right level for Kibana depends on the scope. A focused dashboard improvement may need targeted visualization and KQL expertise, while a wider Elastic Stack rollout calls for knowledge of ingestion, index design, permissions, alerting and operational handover.

Yes, Kibana work is often suitable for remote collaboration because dashboard configuration, queries and documentation can be reviewed online. On-site workshops may still help when teams need to align on monitoring goals, security access or incident workflows, and German or English communication may be relevant.

Review whether Kibana dashboards answer clear operational questions and let users move quickly from an overview to supporting events. Ask for examples of query design, alert testing, permission models, performance decisions and documentation rather than judging the visual appearance alone.

Kibana supports both use cases through Elastic Security and Elastic Observability capabilities. A suitable specialist can connect security event analysis with log, metric and trace data while keeping access controls and investigation workflows appropriate for each team.

Before starting with Kibana, a freelancer should understand the data sources, Elasticsearch version, index and data-view structure, user roles and the dashboards that matter to each audience. Clear access boundaries and agreed success criteria prevent attractive visualizations from masking incomplete or unreliable data.

The average hourly rate of freelancers in Austria who have used Kibana in their recent projects is 98 €, which corresponds to a daily rate of about 782 € 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 20% 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:

Vienna Graz

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Philipp Thomaschewski

FRATCH CEO

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