Elasticsearch Expert in Frankfurt
for fast, relevant search with vetted freelance specialistsHire experts who design search and analytics solutions with Elasticsearch, Kibana, Logstash and Elastic APM. They improve relevance, scale indexing and connect data from complex systems, while FRATCH matches you quickly with precise, vetted and available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used Elasticsearch
Jan M.
Last position:
Founder, Senior Solution Architect, Team Lead, Senior DevOps Engineer at CreArt IT GmbH
- Hands-on solution architect
- Digital product development - SaaS
- Strategic consulting on software architecture, cloud migration, and DevOps processes
- Coaching SE developers and IT architects
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.
Johannes E.
Last position:
Freelance Software Consultant at S|R Software GmbH & Co. KG
- Provided consulting for modernizing legacy applications
- Delivered critical features under tight deadlines for backend and frontend
- Technologies: C#, .NET, WPF, WCF, REST, Angular, MS SQL Server
Markus K.
Last position:
Founder & Managing Director at Qrafto UG (haftungsbeschränkt)
- Founding and overall responsibility: Built a B2B SaaS platform for craft and construction businesses from the first line of code to the live launch with the first paying customer; solo founding including full establishment of the company and all business processes.
- Product and technology responsibility: Designed and developed the entire product.
- Infrastructure & DevOps: Managed a Kubernetes/Helm environment including CI/CD, monitoring, and security architecture; GDPR-compliant platform decisions and evaluation of EU-hosted LLM providers.
- Agentic coding as a productivity multiplier: Set up a productive multi-agent environment with Claude Code: up to eight parallel agents in isolated Git worktrees, Telegram-based remote control and monitoring, MCP integrations (e.g., Context7, Playwright for E2E tests), and a builder-critic pattern with custom slash commands (/research, /plan) and compressed project contexts. Result: development throughput on par with a small team while working solo.
- Go-to-market: Independently developed positioning, SEO and direct mail playbook, as well as target group analysis.
- Regulation & finance: Implemented e-invoicing requirements (ZUGFeRD/XRechnung), set up accounting and payment infrastructure, and managed funding and financing options.
Svyetoslav P.
Last position:
CTO at Skar Audio
- Main developer in an online retail company
- Built an online shop using the Next.JS React framework
- Integrated the site with dozens of third-party apps using REST and GraphQL APIs
- Built a backend for order management, warehouse management (with iPhone app), and supply management
- Automated invoicing and finances with QuickBooks
Florian F.
Last position:
Senior Backend Developer at ING Deutschland AG
- Database design with Oracle DB, JPA and Flyway considering high performance requirements
- Analysis of multiple architecture drafts and identification of technical risks
- Design and implementation of various interfaces and integrations, especially REST APIs and Kafka topics
- Setup of Elasticsearch for monitoring and analyzing log data
- Establishment of an iterative work approach in the project team facing complex business requirements
Anton R.
Last position:
AI-Engineer at Publicly traded company, industrial safety technology
- Designed and implemented the agent-based AI architecture for a company-wide platform to securely deploy LLM-based agents
- Designed and implemented end-to-end RAG pipelines from multiple sources: document preprocessing, chunking strategies for different document types, embeddings, retrieval with re-ranking, and robust prompt orchestration
- Developed a modular context engineering framework with skill architecture, context isolation, and dynamic resource management; human-in-the-loop control for enterprise tool integrations
- Built the CI/CD pipeline, testing strategy, tracing on the software side as well as automated LLM and agent evaluations, red team testing and tracing, and handed over to a reproducible production environment (ISO27001 and SOC2 compliant)
Werner K.
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Martin G.
Last position:
Product Management for Medical Portal at MedTech Startup
- Product strategy and roadmap development for digital health portal
- Requirements engineering and feature prioritization
- User story definition and backlog management
- Prototype development
- Implementation of continuous delivery
- Search engine optimization
- Technological environment: Claude Code, Claude Sonnet 4.5, Agentic Coding, TypeScript, React, AstroJS, PostgreSQL, JetBrains IntelliJ, Netlify, Supabase, GitHub Actions, Git, DevOps, continuous delivery
Tan P.
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Puya D.
Last position:
Quality Assurance Consultant at Federal Employment Agency
- Consulting and implementation of functional test requirements
- Responsibility for and validation of test automation solutions in an agile team
- Support for QA topics during weekly release tests
- Creating test cases using Gherkin
- Developing automated tests with Cucumber and Playwright
- Specifying and maintaining automated and manual tests
Technologies used:
- Confluence
- Jira
- Cucumber
- Playwright
- Typescript
- Java
- Git
Delly F.
Last position:
Dad of 2 daughters at Family
Rohith R.
Last position:
Senior Software Engineer at Clark GmbH
- Upgraded Ruby from 2.7 to 3.1, boosting application performance by 30% and reducing technical debt.
- Integrated Zendesk Messenger into the customer support platform, streamlining communication workflows and increasing support efficiency by approximately 25% through faster response times and improved issue resolution.
- Orchestrated the migration of 65,000+ Schutzklick customer records to a new cloud platform, achieving zero downtime and accelerating data access speeds by 40% for internal teams.
- Implemented JumpCloud SSO for 500+ admin users, strengthening platform security and access control.
- Conducted k6 load testing, enabling the platform to support 10,000+ concurrent users without degradation.
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
Krisztián K.
Last position:
IT-Soc/Vulnerability at ITZBund
- Vulnerability management (Greenbone, Tenable SC, Rapid7)
- Automation of vulnerability scans
- OpenTofu (Terraform)/Ansible/Vault/Podman/Docker
- Compliance audit
- SOC (ElasticSearch, Graylog)
- Python/Rust/Bash/Shell/PowerShell
- Git collaboration
- Report standardization and automation
- POC for several vulnerability scanning systems
- Setup of vulnerability scanning system
Discover over 15,000 top freelancers
Statistics of experts using Elasticsearch
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 18 years)
Position duration
2.1 years (Germany: 2 years)
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
94% (Germany: 93%)
Master's degree or higher
44% (Germany: 50%)
Doctorate
6% (Germany: 7%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 99%)
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 Elasticsearch
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.
Elasticsearch 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 (94%)
- Banking and Finance (63%)
- Automotive (56%)
- Government and Administration (50%)
- Transportation (44%)
- Retail (44%)
- Insurance (38%)
- Professional Services (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Search and discovery
Elasticsearch is a distributed search and analytics engine built on Apache Lucene. It indexes structured and unstructured data so applications can return relevant results quickly, support filters and facets, and analyse events across large data sets. Companies use it for product search, content discovery, log analysis and operational dashboards.
Core ecosystem
The Elastic Stack combines Elasticsearch with Kibana for visualisation, Logstash for data ingestion and Elastic Agent for endpoint and data collection. Strong specialists also work with Beats, Elastic APM, ingest pipelines, index templates and the Query DSL. They connect the stack to REST APIs, message queues, cloud services and existing data platforms.
Typical applications
Elasticsearch appears in customer-facing products and internal operations alike:
- Product, document and knowledge-base search
- Autocomplete, typo tolerance, filters and recommendations
- Log aggregation, observability and incident investigation
- Security event analysis and compliance reporting
- Business dashboards built with Kibana
When expertise matters
Companies often bring in freelance expertise when search results are hard to tune, indexing pipelines are unreliable or clusters need restructuring. A specialist can plan mappings, analyse slow queries, protect data, migrate indices and establish repeatable deployment practices. In Frankfurt, this work may support finance, logistics, retail and industrial systems, with remote or on-site collaboration depending on the team.
Delivery and operations
Reliable Elasticsearch work covers the full path from data ingestion to user experience. Professionals define analyzers, tokenizers, aliases, shard strategies and lifecycle policies, then test relevance and monitor cluster health. They may also automate infrastructure with Terraform or Kubernetes and integrate authentication, role-based access and snapshots.
Signs of strong specialists
Look for people who can explain why a query ranks results as it does, not only how to write it. Practical quality shows in clear mappings, measured relevance tests, safe rollouts and useful monitoring. Strong specialists also understand the source systems and can communicate trade-offs between Elasticsearch, a relational database, OpenSearch or a hosted search service.
Frequently asked questions
Questions about Elasticsearch? Start with the answers below.
Elasticsearch is used for full-text search, product discovery, log analysis, observability and security analytics. It can combine structured filters with relevance ranking and aggregations, making it useful for both customer-facing search and operational reporting.
Elasticsearch is designed for distributed search and near-real-time analytics, while a relational database is usually the system of record for transactions and relationships. OpenSearch offers a closely related search and analytics approach, so the right choice depends on existing tooling, hosting preferences, licensing considerations and team expertise.
A strong Elasticsearch specialist often understands Kibana, Logstash, Elastic Agent, REST APIs and the Query DSL. Useful adjacent skills include SQL, JSON, Python or Java, cloud infrastructure, Kubernetes, Terraform, observability and secure data ingestion.
The required depth depends on the work. A simple search integration may need strong query and mapping skills, while a migration or production cluster requires experience with shard design, snapshots, upgrades, performance testing and incident response. Ask for examples that match your data volume, query patterns and operational constraints.
Yes, Elasticsearch work is often suitable for remote collaboration because configuration, query testing and monitoring can be shared securely. On-site sessions in Frankfurt may still help when the specialist must align closely with product, data or operations teams, or work with restricted environments.
Ask how the specialist approaches mappings, analyzers, relevance testing, cluster sizing and failure recovery. A capable Elasticsearch professional should explain trade-offs clearly and show how they validate search quality instead of relying only on intuition.
Elasticsearch may be unsuitable when the main requirement is strict transactional consistency, complex relational joins or a small data set that a database can search easily. It also adds operational work when indexing, monitoring and data retention are not properly planned.
A reliable Elasticsearch implementation uses explicit mappings, controlled index changes, aliases for safe rollouts and tests for relevance and performance. Specialists should monitor cluster health, query latency, ingestion failures and storage growth, while documenting recovery and retention procedures.
The average hourly rate of freelancers in Frankfurt, Germany who have used Elasticsearch in their recent projects is 102 €, which corresponds to a daily rate of about 816 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Elasticsearch in their recent projects, 94% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Elasticsearch in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Frankfurt, Germany who have used Elasticsearch in their recent projects are German (100%), English (100%), and French (19%).
The most common industries among freelancers in Frankfurt, Germany who have used Elasticsearch in their recent projects are Information Technology (94%), Banking and Finance (63%), and Automotive (56%).
The most common business areas among freelancers in Frankfurt, Germany who have used Elasticsearch in their recent projects are Information Technology (100%), Product Development (88%), and Quality Assurance (75%).
Main locations of FRATCH Experts, who have recently used Elasticsearch
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.
Berlin 
Hamburg 
Munich 
Cologne 
Leipzig Request a free demo
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Philipp Thomaschewski
FRATCH CEO
