
Kibana Experts in Frankfurt
to turn operational data into clear decisions, matched with vetted freelancers in minutesHire experts who build Kibana dashboards, investigate Elastic Stack data and support observability workflows. Get fast, precise matching with vetted, available freelancers for your project.
Meet FRATCH Experts in Frankfurt, who have recently used Kibana
Prasad T.
Last position:
Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA
- Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
- Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
- Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
- Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
- Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
- Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
- Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Basil S.
Last position:
Senior Developer / Data Engineer at Large energy-sector company
- Co-founded the Real-Time Data team, which grew to 10 members over time.
- Developed and delivered core data products.
- Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
- Created and maintained deployment pipelines.
- Collaborated with teammates, architects and experts in an agile Scrum environment.
- Operated applications, analyzed, tested and troubleshot software solutions.
Ingo D.
Last position:
Analytics at BaFin - Federal Financial Supervisory Authority Frankfurt
- Introduction of methods for developing and automated deployment of cloud-native software and machine learning applications in OpenShift clusters
- Development of various programs in Python
- Technologies: Kubernetes, OpenShift, Kustomize, ArgoCD, Tekton, Docker, PodMan, Airflow, IntelliJ, PyCharm, Git, Bitbucket, Jira, Confluence, Python
Karsten G.
Last position:
Software Development at Siemens Mobility GmbH
- Maintenance and further development of several existing projects in the "AI-powered transportation" sector, based on React, REST-like APIs (Spring, Python) and various design libraries
- Responsible in the project for build processes, JavaScript development, architecture, coordination and communication with the design team
- Agile software development (Scrum, Kanban)
- Technologies: React, TypeScript, Ant Design, Node.js, Yarn, Vite, i18n, Postgres, Keycloak, Jest, Cypress, Storybook
- Tools: IntelliJ, Git, GitLab CI, Docker, Confluence, Jira
Michael Y.
Last position:
Senior Consultant, Senior DevOps Engineer at DB Regio AG
- Supported implementation and operation of a portal used online and offline in customer-facing vehicles
- Automated processes by introducing CI/CD pipelines
- Provided enablement and methodological guidance for adopting software engineering best practices
- System environment: NestJS, Node.js, npm, AWS, Docker, Docker Swarm, GitLab CI, WhiteSource, PostgreSQL, Prometheus, Grafana, OpenSearch, REST API
Jens D.
Last position:
Product Owner & Senior Data Scientist at Legal Tech
- Led an international team of six developers in a Scrum environment
- Defined strategic goals for the project in coordination with stakeholders and the development team
- Prompt engineering for language models to improve the accuracy and relevance of generated responses
- Implemented LangChain components for a RAG chatbot to answer legal questions
- Technologies: GPT-4, LangChain, Python (Pandas, sklearn, streamlit), Docker, GitLab, ChromaDB
Dragos Andrei S.
Last position:
QA Tech Lead at Thinksurance
- Establishing and enforcing strong technical standards within and across teams
- Define the required standard in line with overall strategy and communicate across respective technology teams
- Understanding business and technical requirements and implemented (across teams) in an effective and timely manner
- Mentoring (Junior/Mid) Quality Assurance engineers on their path towards seniority
- Providing regular feedbacks and participate in technical interviews
- Contribute to solution architecture proactively
- Design, align, and create solutions for future features according to overall architecture concept and business requirements
- Clarify and communicate decisions from system architects into respective teams
- Challenge business requirements in workshops, refinements, and planning to come to the best possible solution
- Drive QA solution delivery in and across the team
- Support and drive the full QA process
- Execute code reviews for critical tests and accompany their execution into CI/CD
- Participate in running/monitoring and maintaining the application in production
- Follow-up on critical bugs in production system
- Help to debug and solve problems in a timely manner
Rashid I.
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
Discover over 15,000 top freelancers
Statistics of experts using Kibana
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 18 years)

Position duration
2 years (Germany: 2.1 years)

Positions per freelancer
14 (Germany: 13)

Top business areas
Information Technology, Product Development, Business Intelligence

Top industries
Information Technology, Banking and Finance, Automotive

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
71% (Germany: 59%)
Doctorate
14% (Germany: 9%)

Certifications per freelancer
2 (Germany: 3)

Most common languages
German, English, Arabic

Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Frankfurt 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 Frankfurt 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 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 (75%)
- Automotive (63%)
- Transportation (63%)
- Professional Services (50%)
- Food and Beverage (38%)
- Healthcare (38%)
- Insurance (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Kibana does
Kibana is the visual analysis and exploration interface for Elasticsearch. It turns indexed logs, metrics, traces and business records into interactive dashboards, searches and alerts. Companies use it to monitor applications, investigate incidents, explore customer activity and share operational insight across teams.
Core capabilities
Kibana specialists create views that connect raw data with practical decisions. They configure data views, filters, drilldowns, time-based analysis and role-aware access. Strong work also covers query design with KQL or Lucene syntax, saved searches, visualizations and dashboard performance.
Elastic Stack context
Kibana usually works as part of the Elastic Stack, alongside Elasticsearch, Elastic Agent, Logstash and Beats. Depending on the environment, professionals also work with Fleet, Elastic APM, security analytics, machine learning features and integrations for cloud, container and infrastructure data. They understand how ingestion, mappings, retention and indexing affect the final view.
Where companies use it
Typical Kibana work includes:
- Building observability dashboards for logs, metrics and traces
- Creating security investigation and detection views
- Designing operational reports for support and service teams
- Exploring product, customer and business events
- Setting alerts for anomalies, failures or threshold breaches
Frankfurt companies may use these capabilities across finance, logistics, manufacturing, software and regulated operations. Local teams often need a specialist who can work remotely while coordinating clearly with German- and English-speaking stakeholders.
When to bring in an expert
External expertise helps when dashboards have become inconsistent, searches are slow or teams cannot trust the data behind their reports. Companies also engage specialists during an Elastic Stack rollout, a migration from legacy logging tools, a security monitoring initiative or an observability redesign. The right professional can define requirements, improve index patterns, document conventions and transfer knowledge to internal teams.
What quality looks like
A strong Kibana professional starts with the questions users need to answer, not with decorative charts. They connect visualizations to reliable mappings and ingestion pipelines, keep dashboards readable, control access carefully and test performance with realistic data. Look for experience with Elasticsearch operations, data quality, alert design and the specific workflows your teams must support.
Frequently asked questions
Curious about Kibana? Here are the answers that come up again and again.
Kibana is used to search, visualize and analyze data stored in Elasticsearch. Companies use it for log investigation, observability dashboards, security analysis, operational reporting and exploration of application or business events.
Kibana is closely integrated with Elasticsearch and is especially strong for searching and exploring indexed logs, events and security data. Grafana is often chosen for broader metric-source coverage, while the better option depends on data sources, alerting needs, access controls and existing tooling.
A capable Kibana specialist should understand Elasticsearch mappings, indexing, queries and cluster behavior. Useful adjacent skills include Elastic Agent, Logstash, Beats, Fleet, KQL, Lucene syntax, observability practices and security analytics.
A small dashboard adjustment may need focused Kibana experience, while a new observability or security environment requires broader Elastic Stack knowledge. Assess whether the professional has handled ingestion, data modeling, permissions, alerting and performance in a setting similar to yours.
Kibana work is often suitable for remote collaboration because configuration, dashboard reviews and documentation can be handled online. On-site time may help when the project involves sensitive operations, complex stakeholder workshops or access restrictions; agree on German and English communication needs early.
A strong Kibana professional should deliver dashboards tied to documented data sources and clear user questions. The work may also include saved searches, alert rules, access settings, naming conventions, performance checks and guidance for maintaining the solution.
Review whether Kibana dashboards lead to clear actions rather than simply displaying many charts. Check filter behavior, query speed, data accuracy, permissions, mobile or operational usability and the quality of documentation and handover.
Before starting with Kibana, clarify the Elasticsearch version, deployment model, data sources, access level and main user groups. Also confirm whether the assignment covers dashboard design only or includes ingestion, index lifecycle settings, alerting, security and ongoing support.
The average hourly rate of freelancers in Frankfurt, Germany who have used Kibana in their recent projects is 96 €, which corresponds to a daily rate of about 767 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Kibana in their recent projects, 100% hold at least a Bachelor's degree, 71% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Kibana in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Frankfurt, Germany who have used Kibana in their recent projects are German (100%), English (100%), and Arabic (13%).
The most common industries among freelancers in Frankfurt, Germany who have used Kibana in their recent projects are Information Technology (100%), Banking and Finance (75%), and Automotive (63%).
The most common business areas among freelancers in Frankfurt, Germany who have used Kibana in their recent projects are Information Technology (100%), Product Development (88%), and Business Intelligence (63%).
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.
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!

Berlin
Hamburg
Munich