
Elasticsearch Experts in Hamburg
for fast search, analytics and AI matching from over 15,000 CVsHire experts who design search APIs, tune relevance, build observability solutions and connect Elasticsearch with the Elastic Stack. FRATCH matches you quickly and precisely with vetted, available freelancers for your project.
Meet FRATCH Experts in Hamburg, who have recently used Elasticsearch
Niko S.
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.
Hoa Josef N.
Last position:
AI Architect and Enabler at Inhouse / AI Business
Technologies: n8n, Notion, OpenAI API, Claude, MS AI Foundry, MS CoPilot Studio, MS CoPilot, LLM, Node.js, Vercel, LangGraph, PostgreSQL, pgEdge, pgvector, Docker, LangChain, Ollama, Open WebUI
- Continuous evaluation and prioritization of internal automation needs
- ~20 AI agents in active use: research, content pipelines, document processing
- 5 n8n workflows for automated data and process control
- Architecture built on the same principles as in customer projects: state management, event-driven orchestration, API integration
- Ongoing operation and further development
Marvin S.
Last position:
Senior Software Engineer at RTL Deutschland
- work in the Developer-Experience team to improve developer experience and tooling for all teams of the RTL+ streaming platform
- development of reusable GitLab CI/CD components to standardize processes and automatically enforce code quality and security gates
- infrastructure automation with Pulumi
- operation and monitoring of GitLab Runners in AWS with Kubernetes
- integration and automation of Renovate in GitLab pipelines for continuous dependency updates
- extension of Backstage as the central developer platform to optimize internal workflows and self-service capabilities
- development of various tools and automations in TypeScript, Go, and Python
Martin W.
Last position:
Security Auditor at MissionMe
- Environment: AWS, Ruby on Rails, GraphQL, React Native
- Penetration test for Backend, Android-App and iOS-App
Patrick M.
Last position:
Product Owner at Telefonica Deutschland GmbH
- Introduced a service management system
- Optimized processes
- Introduced an agile way of working
- Implemented and configured Atlassian Jira Service Management
- Prioritized features
- Coordinated with stakeholders and the business unit
- Managed the backlog and created user stories
- Managed the budget
- Coordinated a Scrum team
- Used Atlassian Jira and Confluence
- Used Microsoft Teams
- Worked with Scrum and Kanban
Shahram D.
Last position:
IT Project Manager & Consultant (Concept and implementation of EU regulations) at Witt Group / Otto Group
- Planning, steering, and monitoring the Corporate Responsibility Tech Enablement project for IT
- Concept and implementation of the EUDR (EU Deforestation Regulation)
- Concept and implementation of the Eco-Design Regulation
- Continued support of projects within the Corporate Responsibility strategy
- Definition and review of guidelines (e.g. governance, success metrics) and, if needed, analysis of issues and their solutions
- Overall project management, marketing, communication, and quality assurance for the projects
- Creation of the project plan including timeline/roadmap, budget, and resources
- Ensuring compliance with budget and deadlines
- Defining guidelines for project control, methods, and priorities
- Planning and tracking resources and effort, also together with other IT teams
- Evaluation of projects and preparation of results (reporting to management)
- Identification and reduction of risks
- Regular communication with stakeholders
- Steering internal and external stakeholders and service providers (Jira, Confluence, backlog management, task tracking, SharePoint, MS 365 platform etc.)
- Development of standards and process automation
Label: Azure Cloud, Jira, Confluence, Power BI, SAP BW, AWS, Miro, Bee360, Draw.io, SharePoint, MS 365 platform, Trello etc.
Semir A.
Last position:
Engineering Manager at Grafana Labs
- I lead a team of 10 engineers across EMEA split into 2 squads (ingest and query), focused on developing the next generation of logging systems.
- Leading the Loki team in Europe, overseeing the logging solutions at Grafana. I manage a diverse team of engineers, ranging from mid-level to principal, ensuring we deliver top-tier results.
- One of our key achievements has been the successful development and launch of ExploreLogs and AdaptiveLogs.
Sridhar H.
Last position:
SAP CX Consultant at Anonymous
- Stack: SAP Commerce 2011 (B2C).
- Migrating the data from Stibo system to SAP Commerce Cloud.
- Mapping the data from Stibo system to SAP Commerce Cloud.
- Integrating hot folders to support multiple countries and languages.
- Integrating validation tools for migrated data and generating validation reports.
Dhruti C.
Last position:
Freelancer Developer
Expomate platform
- Built a cross-platform exhibitor inquiry management app using React Native and RoR 8, leveraging RESTful APIs, Solid Queue for background job processing, and Devise for authentication on the backend, with Redux and AsyncStorage for state management and local data persistence.
TaskINT platform
- Developed a unified platform for task execution, time tracking, invoicing, client relations, and staff management using RoR 8 and React.js, utilising RESTful APIs, Sidekiq for background jobs, and Zustand for state management and WebSockets for real-time data sync, with 300+ users onboarded across 5 clients.
Taher S.
Last position:
DevOps Engineer at Confidential
- Working with developers, security, and operations teams to align requirements
- Supporting product owners and development teams in using logging and monitoring solutions based on the Elastic Stack
- Developing and standardizing log schemas as well as defining practical standards for observability
- Designing and further developing logging architectures for complex, distributed multi-tenant environments
- Connecting application and infrastructure logs as well as security tools and metrics
- Optimizing data flows and modeling for analysis and reporting purposes
- Building automated infrastructures using Terraform/Terragrunt and Ansible
- Maintaining and further developing CI/CD pipelines in GitLab as well as automated development environments in Hetzner Robot
- Operating and automating Proxmox clusters including Ceph storage
- Setting up and operating Kubernetes (k3s) clusters on Fedora CoreOS including base services such as Vault, OpenLDAP, and HA Proxy
- Implementing security-critical infrastructures according to BSI baseline protection and securing existing systems
- Supporting the operation of solutions in cloud environments (including AWS)
- Working in agile teams using Scrum and Kanban
- Technologies/ applications: Elastic Stack (Elasticsearch, Logstash, Beats/Elastic Agent, Kibana), Terraform, Terragrunt, Ansible, GitLab CI/CD, GitOps, Proxmox, Proxmox Ceph, Kubernetes (k3s), OpenShift, Helm, Kustomize, Vault, OpenLDAP, HA Proxy, Hetzner Robot systems, AWS, Prometheus, Grafana, Syslog Linux/Windows, Docker, NGINX, Apache Security & Compliance (BSI baseline protection, SIEM/SOC)
Marcel S.
Last position:
Lead Developer / Software Architect at Rezeptprüfstelle Duderstadt GmbH
Responsible for the new development of billing and auditing software for prescriptions (prescriptions) to fully check and evaluate e-prescriptions for correctness (content, billing)
The system consists of several contexts that run as services (Docker containers):
Checking and processing data deliveries via FTP and email
Managing invoices, clearings, advance payments and deductions
Managing and running audit rules and audit folders
Evaluations based on Metabase
Developer Stack: Kotlin, Vue 3 / Vuetify 3, ANTLR, Spring Boot 3, REST API, Gradle, Docker, GitLab, PostgreSQL, Kafka, Keycloak, Scrum, Grafana, Loki, Testcontainers, Prometheus
Aravind S.
Last position:
AI – Data Specialist at Emirates Islamic Bank
- Architected and deployed LLM based AI agents, RAG pipelines, and vector search solutions for decision support across retail banking department.
- Developed and shipped robust AI pipelines with guardrails, error handling, monitoring, and fallback logic ensuring high reliability outcomes and compliance with data privacy.
- Developed and deployed ML models to identify transactional anomalies, improving fraud detection and risk assessment in high-volume datasets for credit risk modelling.
- Built, evaluated and fine-tuned ML models to generate propensity scores for customers used to drive personalized targeting campaigns for credit cards and personal finance/loan products.
- Developed an NLP pipeline using BERT embeddings and spaCy NER for SMS/email analysis and customer query logs.
- Trained machine learning models using Isolation Forest to classify user behaviour and detect anomalies.
- Extracted, cleaned, enriched and feature engineered datasets from different sources to build feature stores that powered ML model training.
- Led development of dashboards using Power BI, Grafana, and Prometheus to monitor model performances, KPI trends, and marketing metrics.
- Built multi-touch attribution models using logistic regression and time-decay weights to evaluate lead quality.
- Developed scalable ETL pipelines from CRM, T24, SAP, and ERP, supporting millions of monthly transactions.
- Integrated testing and CI/CD workflows for robust data pipeline deployment.
Andreas S.
Last position:
Lead Developer at Software
- Extended the document management system with a standard CMIS (Content Management Interoperability Services) interface
- Implemented CMIS core services like navigation, access rights, search, CRUD operations, and versioning in Java
- Implemented based on RESTful / OpenAPI services
- Delivered as a fat-jar and native container image
- Deployed on-premises and serverlessly as an Azure Container Application using Terraform
- Improved team autonomy through infrastructure engineering and short feedback loops
- Established observability with OpenTelemetry, Azure Monitor, and Azure Logic Apps
- Introduced Terraform and trunk-based development processes
- Ensured quality with BDD tests in C# using SpecFlow and Testcontainers
- Created Azure DevOps pipeline integration tests
- Introduced cloud deployment processes
- Trained staff in cloud and Terraform
Maciej W.
Last position:
Senior Software Engineer at EQS Group GmbH
- Further development of the compliance products
- Role responsibility as a Senior Software Engineer
- Team size: 5 - 15 people
- Tools: TypeScript, Angular 18, Node.js, Nest.js, AWS, Kubernetes/Helm Charts/Docker, GitLab (CD/CI), Elasticsearch, MySQL, OpenAI, Java, RabbitMQ
Resha Ashish K.
Last position:
Senior Product Manager - Search, API and Partnerships at Statista GmbH
- Heading API products and partnerships at Statista defining product vision and strategy, identifying partnership opportunities, launching integrations with key external partners.
- Launched a scalable API product portfolio within 3 months.
- Led the product strategy for Search, with a focus on intuitive data discovery and personalised user experiences.
- Driving cross-functional collaboration across Product, Design, Marketing, Sales, and Engineering to deliver high-impact solutions on schedule.
Discover over 15,000 top freelancers
Statistics of experts using Elasticsearch
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 18 years)

Position duration
1.9 years (Germany: 2 years)

Positions per freelancer
16 (Germany: 13)

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Retail, Banking and Finance

Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
100% (Germany: 93%)
Master's degree or higher
55% (Germany: 50%)

Certifications per freelancer
2

Most common languages
German, English, Spanish

Speak two or more languages
94% (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 Hamburg 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 Hamburg 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 (100%)
- Retail (71%)
- Banking and Finance (53%)
- Automotive (41%)
- Manufacturing (41%)
- Professional Services (41%)
- Education (35%)
- Food and Beverage (35%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Search and analytics engine
Elasticsearch is a distributed search and analytics engine built on Apache Lucene. It stores JSON documents and makes large, changing datasets searchable with low latency. Companies use it for product search, log analysis, security investigations, observability and application features that depend on relevant results.
Core capabilities
Elasticsearch supports full-text search, filtering, faceting, relevance scoring and aggregations. Its REST APIs and client libraries let applications query indexed data and present results in web, mobile or internal interfaces. Shards, replicas and mappings help teams balance performance, resilience and data structure.
Elastic ecosystem
Experts often work across the wider Elastic Stack, including Kibana for exploration and dashboards, Logstash for data processing, and Beats or Elastic Agent for collection. They may also configure ingest pipelines, index lifecycle policies, snapshots, aliases and security controls. Knowledge of Lucene, JSON, APIs and cloud infrastructure is valuable.
Typical project work
- Create product, document or site search with relevance tuning
- Build dashboards for logs, metrics, traces or business events
- Move data from relational databases, queues or legacy search systems
- Design mappings, analyzers, pipelines and index strategies
- Improve cluster stability, query speed and operational visibility
When freelance expertise helps
Companies often bring in an Elasticsearch specialist when search quality is inconsistent, indexes have grown without a clear design, or a migration needs careful planning. Freelance support can also help during an Elastic Stack rollout, an observability initiative or the modernization of an existing search service. In Hamburg, remote work is common, while workshops with local product and infrastructure teams can benefit from on-site collaboration.
What strong professionals deliver
Strong professionals connect search behavior to business requirements instead of tuning queries in isolation. They test analyzers and relevance with representative data, document trade-offs and protect sensitive information through roles, encryption and controlled access. They also understand backups, upgrades, capacity planning and how Elasticsearch interacts with application code, Kubernetes, cloud services and data pipelines.
Frequently asked questions
Curious about Elasticsearch? Here are the answers that come up again and again.
Elasticsearch is used to search and analyze structured, semi-structured and unstructured data. Common applications include product search, document discovery, log analytics, observability, security analysis and dashboards built with Kibana.
Elasticsearch is optimized for text search, relevance ranking and fast aggregations across indexed documents. A relational database remains the stronger system of record for transactions, relationships and strict consistency, so many systems use both rather than treating Elasticsearch as a replacement.
Elasticsearch is a strong choice when a team wants flexible search, analytics and observability capabilities within the Elastic ecosystem. Solr can suit teams already invested in its Apache Solr operations, while a managed service may reduce infrastructure work at the cost of some control and portability.
A strong Elasticsearch specialist usually understands REST APIs, JSON, Apache Lucene concepts, data modeling and relevance tuning. Experience with Kibana, Logstash, Elastic Agent, cloud infrastructure, Kubernetes and application languages helps them deliver a complete solution.
The right level depends on the scope. A simple index and query integration may need focused search expertise, while cluster migrations, high-volume analytics, security configuration or complex relevance work call for a professional who has operated Elasticsearch in comparable conditions.
Yes. Elasticsearch work is well suited to remote collaboration because requirements, mappings, queries and infrastructure changes can be reviewed online. Hamburg-based teams may still prefer on-site workshops for discovery, and German or English communication can be agreed before the engagement.
Ask for concrete examples of search or analytics systems they have designed and what trade-offs they made. A capable Elasticsearch professional can explain mappings, analyzers, relevance testing, shard strategy, failure recovery and monitoring in terms your team can verify.
Define the data sources, search behavior, expected freshness, security needs and operational ownership first. Discuss whether the work covers only queries or also ingestion, Elastic Stack configuration, migration, deployment and ongoing cluster support, then request a clear delivery plan.
The average hourly rate of freelancers in Hamburg, Germany who have used Elasticsearch in their recent projects is 94 €, which corresponds to a daily rate of about 755 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used Elasticsearch in their recent projects, 100% hold at least a Bachelor's degree and 55% hold at least a Master's degree.
On average, freelancers in Hamburg, Germany who have used Elasticsearch in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Hamburg, Germany who have used Elasticsearch in their recent projects are German (100%), English (94%), and Spanish (18%).
The most common industries among freelancers in Hamburg, Germany who have used Elasticsearch in their recent projects are Information Technology (100%), Retail (71%), and Banking and Finance (53%).
The most common business areas among freelancers in Hamburg, Germany who have used Elasticsearch in their recent projects are Information Technology (94%), Product Development (94%), and Project Management (59%).
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.
Request a free demo
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