Kibana Experts in Frankfurt
matched in minutes from over 15,000 CVs with the power of AI.Work with specialists who build Kibana dashboards, tune Elasticsearch visualizations, and set up logs, alerts, and observability views for search-heavy systems. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used Kibana
Prasad Tilloo
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 Sattler
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 Dettling
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 Gerigk
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 Yaco
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 Daube
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 Serediuc
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 Ibragimov
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 30 Aug 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Dashboards
Kibana turns Elasticsearch data into clear dashboards and search views. Teams use it to monitor logs, track application health, and explore events without writing custom reporting layers. It is common in the Elastic Stack, often called the ELK stack.
What specialists deliver
- Security and operations dashboards
- Log analysis and incident views
- Time-series charts and filters
- Saved searches and shared workspaces
Strong professionals shape the data so people can find the right signal fast. They know how to work with index patterns, fields, queries, and visualizations that stay useful as data changes.
When companies bring help
Companies ask for Kibana expertise when dashboards become slow, confusing, or inconsistent. They also bring in freelance specialists for new Elastic Stack rollouts, alerting setup, or cleanup after rushed log indexing. In Frankfurt, this often suits teams that need clear visibility across regulated or high-traffic systems.
Ecosystem and skills
Good Kibana work usually sits next to Elasticsearch, Beats, Logstash, and Elastic security features. A capable specialist understands schema design, query behavior, role-based access, and how data flows from source systems into usable views. They also know when to simplify a dashboard instead of adding more panels.
Signs of quality
A strong expert asks what the dashboard must answer, not just what data exists. They explain trade-offs between visual detail and speed, and they test views with real users. Clean naming, stable filters, and readable layouts matter as much as technical setup.
Local collaboration
Kibana work can be done remotely, but some Frankfurt teams prefer on-site workshops for stakeholder interviews, access reviews, or shared dashboard design. Good freelancers adapt to English or German communication and can work with local operations, security, and analytics teams when needed.
Frequently asked questions
Curious about Kibana? Here are the answers that come up again and again.
Kibana is used to search, visualize, and monitor data stored in Elasticsearch. Companies use it for log analysis, operational dashboards, security views, and incident investigation. It is especially useful when teams need to turn raw events into something people can read quickly.
Kibana is usually the better fit when the data already lives in the Elastic Stack and teams need deep search and log exploration. Grafana is often chosen for broader metrics monitoring across many data sources. Custom reporting can work, but it takes more effort to maintain and usually gives less flexibility for ad hoc investigation.
A strong Kibana specialist usually knows Elasticsearch query structure, index mapping, and the Elastic Stack around it. Logstash, Beats, ingest pipelines, and access control are common nearby skills. For many projects, they also need a solid grasp of observability or security use cases.
The right level depends on the task. A dashboard refresh may need a focused specialist, while a full observability setup or complex search environment needs someone who understands data modeling, permissions, and alerting. If the data is messy, you want someone who can also fix the source structure, not just the visuals.
Yes, Kibana work is often handled remotely because most tasks are configuration, dashboard design, and data investigation. Frankfurt teams may still want on-site sessions for stakeholder workshops, sensitive access reviews, or shared design reviews. Language expectations depend on the team, but English is often enough for technical delivery.
Look for proof that the person has shipped useful dashboards, not just clicked through the interface. A good Kibana professional can explain how they handle field selection, saved objects, alert logic, and performance issues. Ask for examples of similar data sources or operating environments.
No, Kibana is not limited to logs. It is also used for security monitoring, service health views, business event exploration, and ad hoc data discovery. Logs are common, but the tool is more useful than that when the underlying Elasticsearch data is well designed.
A strong Kibana expert thinks about data structure, audience, and long-term maintenance. They build dashboards that answer real questions, keep filters consistent, and avoid clutter that hides the signal. They also know when a problem belongs in Elasticsearch or the ingestion layer instead of inside the dashboard itself.
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.
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