Elasticsearch Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Elasticsearch
Karen Manukyan
Last position:
Personal AI Engineering Project — Croky AI at Crocky AI
Product:
- Built a production-ready AI platform for generating brand-aware marketing images and videos from product data, user requirements, and uploaded media.
- Own the platform architecture, technical roadmap, API design, security, deployment workflow, operational reliability, and model-provider strategy.
- Developed the core platform in .NET and built supporting AI and workflow prototypes in Python, applying language-independent API contracts and structured interfaces between services and model providers.
- Implemented reliable background processing with RabbitMQ, persisted workflow state, idempotent handling, retries, failure recovery, logging, secure storage, authorization, and credit accounting.
- Made pragmatic build-versus-buy and model-routing decisions based on reliability, latency, cost, and maintainability rather than novelty.
Agent Orchestration & RAG Systems
- Built and compared agent workflows using Microsoft Agent Framework, LangGraph, and LangChain, including tool use, conditional routing, clarification steps, state management, and hand-offs between agents.
- Implemented reusable .NET components for agents, prompts, tools, model providers, structured responses, and retrieval with pyvector, making it easier to change AI providers without rewriting the core workflow.
Hooman Behmanesh
Last position:
Fullstack Developer at Möbel Roller GmbH
- Further development of the existing e-commerce platform based on SAP Commerce (Hybris) to meet the growing demands of digital commerce.
- Ensuring the scalability and performance of the backend, so the platform remained stable and efficient even under heavy user load.
- Development and integration of new OCC REST APIs and services for modular extensions and flexible adjustments, to implement new features quickly.
- Optimization of data flows and interfaces, which significantly improved platform efficiency and system performance.
- Ensuring a maintainable and scalable code base by using Clean Code principles, proven design patterns, and a future-proof architecture.
- Reduction of errors through extensive testing with JUnit, Mockito, and load tests with Gatling, supported by the introduction of automated test processes.
- Improved system performance through targeted refactoring measures and efficient database queries, especially to handle peak loads.
- Use of modern cloud and monitoring tools such as Kubernetes, Google Cloud Platform (GCP), and Grafana to ensure a stable and monitored infrastructure.
- Clear improvement in efficiency, scalability, and reliability of the platform, which now meets the demands of a dynamic and growing e-commerce market.
Niko Schmuck
Last position:
Developing Architect, Technical Lead "gridlytics" at HH Energienetze
- Building a data integration platform for high, medium, and low voltage assets for contextual analysis of time series with master data from the SCADA control system (IEC 60870 104), INIS, and SAP.
- Responsibility for the architecture and implementation of the solution, as well as sparring partner for the Product Owner.
- Use of Kotlin, Spring Boot, Maven, TimescaleDB, PostgreSQL, liquibase, Elements IoT, Docker, Kubernetes, Grafana, Python, jupyter, and various API gateways.
Henning Uiterwyk
Last position:
Senior Expert Data Governance, Master Data Quality and Data Migration at E.ON
- Planning and implementation of a migration strategy for master and transaction data for the continuous loading of a cloud-independent database
- Creation and pilot implementation of a company-wide Business Data Model for customers, suppliers, contracts, products, prices, consumption, invoices, and dunning
- Concept and consulting for a Data Governance Framework incl. definition of committees, roles, processes, and metadata model
- Operationalization of the Data Governance Framework with definition of data standards
- Sub-project management in two pilot projects (PoCs) for Data Governance systems (ErwinDIS and Atlan)
- Training and coaching the data team in migration, data quality, and data modeling
Martin Hermann
Last position:
Lead Product Owner at Energy
- Team leadership: Prioritization and coordination of four cross-functional teams.
- Platform strategy: Development and implementation of strategies to optimize existing IT platforms.
- Stakeholder management: Active management of expectations and communication with internal and external stakeholders.
- Program and innovation management: Prioritization and coordination of cross-department projects as well as innovation initiatives.
- Product Owner consulting: Advising Product Owners with a focus on product development and continuous product improvement.
- Organizational development: Improving communication and decision-making structures across all organizational levels.
- Change management: Implementing best-practice change management methods to ensure continuous optimization and innovation.
- Quality assurance: Ensuring high quality standards in processes, services, and deliverables.
Sabahattin Kunas
Last position:
Sole responsibility (concept, development, infrastructure, operations) at Own project busik.ch
- Ride-sharing and bus platform, live and working. Backend Spring Boot 4.1 on Java 21, PostgreSQL with Flyway, Testcontainers integration tests. Running in my own AWS account (ECS Fargate, ALB, ECR, IAM least privilege) with CI/CD via GitHub Actions and OIDC federation without static credentials. Development throughout AI-assisted with Claude Code, including my own skills and project-specific memory. Spring Boot · Java 21 · PostgreSQL · Flyway · Docker · AWS ECS/ALB/ECR · CI/CD · GitHub Actions · Claude Code
Carsten Rösner
Last position:
Enterprise Product Owner at opta data IT GmbH
- Product responsibility for the central platform "one" as a group-wide web-based customer portal
- Coordination of the connection of 20 group companies to the product platform
- Derivation and steering of a group-wide product strategy and roadmap aligned with company goals
- Prioritization and bundling of strategic requirements from the various group companies
- Harmonization of different interests and moderation of complex decision-making processes at management level
- Ensuring the technical and business integration of the product into existing system landscapes, business processes, and business models
- Building transparent governance and decision-making structures for group-wide product development
- Representation of the product towards internal and external stakeholders at leadership level
Christoph Sawicki
Last position:
Test Manager at Logistics
- Coordination and planning, execution, documentation, and analysis of test cases
- Development of test concepts considering best practices (e.g., test pyramid) with a focus on reliable, automatable test runs
- Implementation and maintenance of test cases according to the test concepts
- Technologies: Citrix Workspace, Shopify, Jira, Xray, MS Teams, MS SharePoint, Confluence, MS Office 365
Salim Chehab
Last position:
Cloud / Systems Architect
- Development and introduction of operational processes
- Preparation of complete documentation packages (including emergency management and operations) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Professional consulting for the project's security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Design of hybrid cloud architecture (on-prem, Hetzner, AWS)
- Analysis and resolution of incidents and system outages
- Network changes to firewall rules, gateways, OpenVPN settings, and IPsec tunnel (pfSense)
- Professional consulting on BitBucket, Jenkins, and GitLab CI/CD pipelines
- Consulting on Ansible deployments and infrastructure automation
- Consulting on building a scalable system in the cloud (AWS / Azure)
- Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi
Rüdiger Schulz
Last position:
Full-Stack Software Engineer / Consultant for Digitalization at ARTEVENT
Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.
Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.
Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.
Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.
Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.
Nemanja Milenković
Last position:
AI Engineer / Senior Backend Engineer at Intelycx
Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.
- Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
- Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
- Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
- Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.
Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.
Robin Walter Scherler
Last position:
Developer at agentic-engineer.online
agentic-engineer.online is my publicly testable live demo and at the same time the platform where I show my work. Originally created as a recruitment trial task, I have since continued to run it as my own demo, learning, and product project — on a Hetzner VPS behind a Cloudflare tunnel, through a multi-stage AI-orchestrated deploy pipeline with snapshot rollback. If a deploy step breaks, the system falls back to the last clean snapshot, the script is adjusted, the test repeated — empirical, test-driven, without hand tuning.
- Technically behind it: Python and FastAPI, an OpenRouter model cascade, SQLite persistence, and Cloudflare edge tuning.
- I am the developer and the strictest customer of my own AI work in one person — what started as a prototype has become a tool I use every day and against which I test my own products.
Marc Smyk
Last position:
Fullstack Developer at PLANT-MY-TREE
PLANT-MY-TREE®-per-order
The application enables Shopify merchants to automatically place tree-planting orders for every incoming order. By integrating ecological contributions directly into the purchase process, the manual effort for tracking and billing reforestation initiatives is eliminated. The system increases transparency for end customers through real-time visualizations of the ecological impact directly in the storefront. The architecture is based on a modular monolith with Spring Boot in the backend and an integrated React app inside the Shopify admin area. The solution uses webhooks to capture order data in an event-driven way and integrates the weclapp ERP system for automated monthly invoicing. An app proxy mechanism provides dynamic statistics such as CO2 compensation and planted trees without any performance loss for the merchant shop.
Tasks:
- Design of the modular software architecture based on Spring Modulith to ensure high maintainability
- Development of the event-driven business logic for evaluating Shopify orders via webhooks
- Implementation of automated invoicing by connecting the weclapp REST API
- Building the frontend using React Router and Shopify App Bridge for native integration
- Design of the database model and implementation of the persistence layer with JPA/Hibernate and Prisma
- Integration of internationalization processes for global use in the frontend and email communication
- Automation of deployment processes using Docker and GitLab CI/CD
Project skills: Java 25, Spring Boot, Spring Security, Spring Modulith, Hibernate, JPA, REST API, PostgreSQL, Maven, Liquibase, React, TypeScript, React Router, Vite, Node.js, Prisma, Zod, Docker, Docker Compose, GitLab CI/CD, Shopify CLI, Shopify App Bridge, Polaris, weclapp, i18next, Lombok, Vitest
Markus Steffen
Last position:
Fullstack-Developer at VRM Digital / RYZE
- Development and maintenance of a news portal CMS with interfaces.
- PHP development with HTML, CSS, SCSS, JavaScript, MySQL, Laravel, documentation of the interfaces and the system.
- Further development of the SSO system based on Laravel with a large API and connections to AWS, SAP, ERPS.
- Reorganisation and development of the news portals on the basis of a publish platform, services and interfaces to Google, Facebook, Twitter, SSO, SAP technical based on NodeJS with TypeScript and AWS.
- Technologies: PHP, Laravel, MySQL, JavaScript, Vue.js, NodeJS, TypeScript, jQuery, CSS, SCSS, SASS, Unix, Jira, Confluence, Git, Apache, Nginx, AWS.
Christian Enderle
Last position:
IT Consulting / IT Rebuild at IT-Neuaufbau (PF)
- Analysis of requirements and the current situation
- Migration of an old domain structure and Tobit to Exchange 2019 with integration to MS365
- Evaluation of implementation paths and planning for securing sensitive data
- Planning regarding BSI basic protection, the German Federal Data Protection Act (BDSG), and GDPR
- IT governance and IT security backtests
- Support with ERP setup and securing mail transfer
- Hyper-V 2016/2022, Microsoft Terminal Services Cluster, Microsoft Exchange 2019
- Office 365, Microsoft 365, Azure AD, Teams, Salesforce
- Cisco, Zyxel, and HP switches, Sophos firewalls/UTMs, SecurePoint
- Microsoft IIS 2022, IPv4/IPv6, Veeam, Wortmann online backup, NextCloud
- Services: DNS, DHCP, TCP/IP, subnetting, firewalling, routing, VoIP, Group Policy (GPO), SIEM, remote work, home office, high availability, failover, VLAN, PRTG
Discover over 15,000 top freelancers
Statistics of experts using Elasticsearch
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2 years
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
93%
Master's degree or higher
48%
Doctorate
6%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
99%
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 Germany 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 Germany 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Search at scale
Elasticsearch is used to power site search, product discovery, log analysis, and observability. It stores documents in an index, then answers fast queries across large and changing data sets. Strong specialists know when to use full-text search, filters, aggregations, and relevance tuning.
Common delivery
- Search for e-commerce, content, and internal knowledge bases
- Log dashboards and alerting with the Elastic Stack
- Analytics on events, products, and user activity
- Relevance tuning for autocomplete, synonyms, and ranking
Stack around it
Elasticsearch rarely lives alone. Teams often pair it with Kibana for exploration, Logstash or Beats for ingestion, and application code that sends clean documents into the cluster. Good experts also understand mappings, shards, replicas, snapshots, and version upgrades.
When companies bring in help
Freelance specialists are often needed when search feels slow, results look wrong, or an index design needs a reset. They also help with migrations from older setups, incident work, and new features such as faceted search or multilingual content. In Germany, remote work is common, but on-site sessions help when search logic needs close product and data team input.
What strong specialists do
A strong Elasticsearch professional can read query patterns, simplify mappings, and keep cluster settings aligned with real traffic. They document ingestion rules, handle reindexing safely, and test relevance with real content. They also know the trade-offs between speed, freshness, and storage.
Good fit signals
- Search results need better relevance or faster response
- Logs, metrics, or events must be queryable in one place
- The cluster is hard to operate or hard to scale cleanly
- The team needs help with Elastic, Kibana, or index design
Frequently asked questions
Quick answers to the questions that come up most around Elasticsearch.
Elasticsearch is used for fast text search, filtering, and analytics on documents, logs, and events. Companies use it for product search, support knowledge bases, audit trails, and operational dashboards. It is a good fit when users need quick answers across large, changing data sets.
Elasticsearch and Solr both solve search problems, but teams often choose Elasticsearch for its API-first workflow, distributed design, and close tie to the Elastic Stack. Solr is still strong for some search-heavy use cases, especially where older Lucene-based setups already exist. A good specialist will explain the trade-offs based on your data model and operations needs.
A strong Elasticsearch specialist should understand mappings, analyzers, queries, aggregations, and index lifecycle management. They should also be comfortable with Kibana, ingestion pipelines, and cluster health. For product search, relevance tuning and content modeling matter just as much as cluster setup.
A project usually needs Elasticsearch help when search quality is inconsistent, indexing breaks under load, or the current setup has grown too complex to maintain safely. Freelancers are also useful for migrations, performance reviews, and data rework before a release. They can step in for short, focused work without long onboarding.
Yes, Elasticsearch work is often done remotely because most tasks can be handled through code, queries, and cluster access. In Germany, remote collaboration is common, while on-site time can help during workshops, incident reviews, or search tuning sessions with product teams. The best setup depends on how much domain input the project needs.
Before hiring a Elasticsearch freelancer, check whether they have handled similar data volume, index design, and operational issues. Ask for examples of search tuning, cluster recovery, or migration work, not just general backend experience. A good specialist can explain why a certain mapping or query shape was chosen.
Often, yes. Elasticsearch is commonly used together with Kibana, Logstash, and Beats, so a freelancer should understand the wider Elastic Stack when logs or observability are part of the work. If the project is pure search, the stack may be lighter, but cluster operations still matter.
Good Elasticsearch work is easy to measure in the system itself: queries are fast, results are relevant, and operations are predictable. Look for clear mappings, clean ingestion rules, safe reindex plans, and sensible use of shards and replicas. The best specialists leave the cluster easier to run, not just faster today.
The average hourly rate of freelancers in Germany who have used Elasticsearch in their recent projects is 98 €, which corresponds to a daily rate of about 784 € based on an 8-hour working day.
Of the freelancers in Germany who have used Elasticsearch in their recent projects, 93% hold at least a Bachelor's degree, 48% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Germany who have used Elasticsearch in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Germany who have used Elasticsearch in their recent projects are German (99%), English (98%), and French (16%).
The most common industries among freelancers in Germany who have used Elasticsearch in their recent projects are Information Technology (96%), Banking and Finance (49%), and Retail (45%).
The most common business areas among freelancers in Germany who have used Elasticsearch in their recent projects are Information Technology (100%), Product Development (93%), and Quality Assurance (55%).
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.
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