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Elasticsearch Expert in Vienna

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Hire experts who build search experiences, observability solutions and analytics workflows with Elasticsearch, Kibana and Logstash. FRATCH matches you quickly and precisely with vetted, available freelancers suited to your project.

Meet FRATCH Experts in Vienna, who have recently used Elasticsearch

Verified expert

John A.

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Senior DevOps Engineer

Vienna
John A.

Last position:

Software Developer and DevOps Engineer at Bundesrechenzentrum (BRZ)

Refactoring and improving core APIs; implementing client change requests. Setting up metrics, traces, and logs monitoring infrastructure to support operations. Designing GitOps deployment and infrastructure as code. Applications and systems configuration in ArgoCD and Openshift. Confluence documentation of design, approach, and solution. Tech Stack: Java 8 & 21, Spring framework, JSP, JavaScript, Bash scripts, SQL, Grafana Stack, OpenTelemetry, Docker, DB2, Maven, Kubernetes Kompose.

Verified expert

Michail M.

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Experienced Software Developer and OpenShift Specialist, Application Architect with a focus on / experience in containerization

Vienna
Michail M.

Last position:

OpenShift / Kubernetes Consultant at cloudWerkstatt

Implementation and operation of OpenShift / Kubernetes solutions for customers, focusing on aspects such as storage, virtualization, security, logging, monitoring, and high availability. Support with application containerization and modernization.

Verified expert

Vladislav F.

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Senior Test Automation Engineer / Test Manager

Vienna
Vladislav F.

Last position:

Senior Test Automation Engineer / Test Manager at Stadt Wien – WUKSEA

  • Creation of test scenarios, manual test cases and test data using boundary value analysis and equivalence partitioning
  • Execution of functional and non-functional tests (manual with Postman and web application, automated with WebDriver, JUnit and NUnit)
  • Setup, automation and maintenance of the Test Automation Framework with Java, Spring Boot, Selenium and Cucumber in IntelliJ (system, regression, smoke, UI and integration tests for web frontend and SOAP API backend interfaces)
  • Automation of backend NUnit test cases in Visual Studio
  • Test management: development and implementation of the test strategy and test plans, test coordination, quality responsibility and prioritization of risk-based tests, as well as documentation management in Confluence
  • Detailed analysis and quality assurance of requirements
  • Creation and maintenance of Jenkins pipelines, quality assurance during build & deployment
  • Close cooperation with business analysts, developers, testers and test management
  • Identification, creation and tracking of errors/defects, as well as careful test documentation
  • Reporting of test results and defect reports
  • Monitoring of test processes and continuous improvement
  • Verification of test data and test results in a PostgreSQL database in pgAdmin
  • Support with effort estimates and backlog prioritization
  • Analysis and debugging of development code

System environment: Java, JUnit, Spring Boot, Selenium, Cucumber, JavaScript, Jenkins, C#, NUnit, Postman, Bitbucket, Confluence, Jira, xRay, pgAdmin, PostgreSQL, SonarQube, Maven, IntelliJ, Visual Studio, CI/CD, SOAP API interfaces

Verified expert

Slavi S.

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Head of AI Enablement

Vienna
Slavi S.

Last position:

Head of AI Enablement at REEVO Tech

  • Architected enterprise AI strategy delivering 25% cost reduction through multi-LLM platform integration (Claude, OpenAI, Gemini) with intelligent routing and fallback optimization
  • Drove operational excellence achieving 85% reduction in manual documentation and 3x faster campaign production through AI workflow automation and agent deployment across Slack and Microsoft Teams
  • Established AI governance framework from ground up, implementing EU AI Act compliance, data redaction protocols, and safety filters aligned with DPIA standards
  • Scaled AI adoption through structured onboarding programs, developing departmental workflows with secure access controls and comprehensive audit trails
  • Implemented advanced RAG systems using Elasticsearch, Vertex AI, and Azure AI Foundry to improve knowledge access and output reliability
  • Managed delivery through OKR framework coordinating cross-functional squads across 6-week project cycles to ensure strategic alignment and measurable results
Verified expert

Joseph W.

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Freelancer Cloud / Solution Architect (AWS)

Wien
Joseph W.

Last position:

Freelancer Cloud / Solution Architect (AWS) at A1 Bank

  • I am responsible for providing solution architecture and technical assistance for a migration initiative aimed at transitioning to a new core banking system.
  • The project involves replacing in-house development with a commercially available off-the-shelf core banking system operated as SaaS on AWS.
  • Duties encompass solution design, technical coordination, supporting development teams, and providing IT support and troubleshooting.
  • Managing over 10 global vendors and partners is crucial to project success.
  • Technologies: VMWare ESXi, AWS, EKS Kubernetes, Mastercard Payment Transaction Service, Avaloq, A1 Telekom Austria infrastructure, CheckPoint FW, F5, Site-to-Site VPNs, PingID, Futurae SDK, Airlock, UC4/Automic, Firebase, iOS/Android lifecycle management, AWS IAM, AWS AppStream, AWS S3, AWS Transfer Family, QlikView, OpenAPI.
Verified expert

Jürgen E.

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Chief Executive Officer

Wien
Jürgen E.

Last position:

Chief Executive Officer at Riddle&Code GmbH

  • Pivoted the company into data-driven and AI-powered energy optimization solutions for microgrids, energy communities, and grid operators.
Verified expert

Attila D.

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Full-Stack Software Engineer

Vienna
Attila D.

Last position:

Full-Stack Software Engineer at Research Data Evaluation

  • Custom anonymized research data analyzer, providing insights and facilitating data-driven decision-making.
  • Designed and developed back- and frontend.
  • Delivered end-to-end solution.
  • Accelerated research timeline by 2 months.
Verified expert

Maximilian G.

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Senior Full-Stack Engineer

Vienna
Maximilian G.

Last position:

Solo Developer / Founder at InvAPI

  • Privacy-first, stateless e-invoice API providing AI-powered extraction, bidirectional format conversion (UBL/CII/ZUGFeRD), batch processing, and validation for German/Austrian e-invoice compliance
  • Technologies: Nuxt 4, Vue 3, Nitro, TypeScript, Cloudflare (D1, R2), Stripe, OAuth, AI/LLM integration
Verified expert

Lulzim B.

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Centralized monitoring

Wien
Lulzim B.

Last position:

Centralized monitoring

  • Setup and maintain Prometheus and Grafana via Docker for more than 2.000 services.
  • Setup CI/CD with Ansible to provision and maintain Prometheus and Grafana.
  • Metrics visualization and segregation in multiple dynamic dashboards.
  • Setup of real time alerting for critical services.
Verified expert

Adrian I.

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Strategic Technology Leadership & Digital/AI Transformation

Vienna
Adrian I.

Last position:

Strategic Technology Leadership & Digital/AI Transformation at Adrian Ion Consulting

  • VCs, investors & CEOs: build or scale technology development in your (portfolio) company
  • CTOs & senior technology leaders: experienced sounding board
  • Traditional industries: increase value or optimize operations through further digitalization and AI
  • Young technical leaders: build your leadership skills, judgment on the technology-business connection, and strategic thinking while under pressure to deliver

Discover over 15,000 top freelancers

Statistics of experts using Elasticsearch

Aggregated from the professional profiles of matched freelancers.

Experience

22 years

Elasticsearch experts in Vienna have 22 years of professional experience on average.

Position duration

2.4 years

Elasticsearch experts in Vienna stay in a single position for 2.4 years on average.

Positions per freelancer

10

Elasticsearch experts in Vienna have completed 10 positions on average over the course of their careers.

Top business areas

Information Technology, Product Development, Business Intelligence

Elasticsearch experts in Vienna have gathered most of their hands-on project experience in Information Technology, Product Development, and Business Intelligence.

Top industries

Information Technology, Banking and Finance, Transportation

Elasticsearch experts in Vienna are most in demand in Information Technology, Banking and Finance, and Transportation.

Certification focus areas

Information Technology, Business Intelligence, Product Development

Elasticsearch experts in Vienna earn their certifications most often in Information Technology, Business Intelligence, and Product Development.

Bachelor's degree or higher

70%

70% of Elasticsearch experts in Vienna hold at least a Bachelor's degree.

Master's degree or higher

60%

60% of Elasticsearch experts in Vienna hold at least a Master's degree.

Doctorate

20%

20% of Elasticsearch experts in Vienna have a doctorate (PhD).

Certifications per freelancer

4

Elasticsearch experts in Vienna hold 4 professional certifications on average.

Most common languages

German, English, French

Elasticsearch experts in Vienna most often speak German, English, and French.

Speak two or more languages

100%

100% of Elasticsearch experts in Vienna speak two or more languages.

Based on our profile pool as of 29 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
70% of Elasticsearch experts in Vienna charge less than €800 per day.
10% of Elasticsearch experts in Vienna charge between €960 and €1120 per day.
10% of Elasticsearch experts in Vienna charge between €1120 and €1280 per day.
10% of Elasticsearch experts in Vienna charge €1440 or more per day.
<€800 €960-​1120 €1120-​1280 €1440+

The chart shows how the daily rates of experts in this technology in Vienna are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.

Average rates of experts in Vienna using Elasticsearch

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 817 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 744 €

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 29 Oct 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%)
  • Banking and Finance (45%)
  • Transportation (45%)
  • Healthcare (36%)
  • Professional Services (36%)
  • Government and Administration (36%)
  • Telecommunication (36%)
  • Education (27%)

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. Companies use it to index structured and unstructured data, then retrieve relevant results with full-text search, filters, facets, sorting and relevance scoring. It supports product search, document discovery, log analysis and near-real-time dashboards.

Elastic ecosystem

The wider Elastic Stack combines Elasticsearch with Kibana for visual exploration, Logstash for data ingestion and Beats for lightweight collection. Strong specialists also work with Elastic Cloud, REST APIs, Query DSL, index templates, ingest pipelines and connectors. They understand JSON documents, mappings, analyzers, tokenization and shard design.

Practical applications

Elasticsearch appears in systems where users need responsive access to large, changing datasets:

  • Product catalogs with autocomplete, facets and typo tolerance
  • Centralized application and infrastructure log analysis
  • Security monitoring and event investigation
  • Content, knowledge-base and document search
  • Operational dashboards and business analytics

When expertise matters

Companies bring in freelance Elasticsearch professionals when search quality is inconsistent, indexing falls behind or query costs become difficult to control. Specialists can plan migrations, connect data sources, tune relevance, diagnose cluster behavior and establish reliable production operations. In Vienna, local teams may value on-site workshops, while remote delivery works well for clearly documented environments.

Skills around Elasticsearch

Useful adjacent knowledge includes Java, Python or JavaScript services; SQL and NoSQL data models; REST and event-driven integrations; Docker and Kubernetes; and cloud infrastructure. Professionals should be comfortable with observability, backup and restore procedures, access controls, encryption, capacity planning and rolling upgrades. Familiarity with Elastic Stack security features is important for sensitive data.

Signs of strong specialists

Look for people who explain trade-offs instead of promising a generic search setup. Strong professionals can show how they define mappings, test analyzers, measure relevance, handle reindexing and protect cluster health:

  • Clear index and lifecycle strategy
  • Search tests based on real user intent
  • Safe scaling, recovery and deployment practices
  • Practical documentation for future teams
  • Careful treatment of personal and regulated data
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Frequently asked questions

Key details about Elasticsearch, drawn from the questions we get asked most.

Elasticsearch is used to search, filter and analyze large collections of documents or events with low latency. Common applications include product discovery, site search, log management, security analysis and operational dashboards. A specialist can connect it to existing applications and data pipelines.

Elasticsearch is optimized for flexible full-text search, relevance scoring, faceting and fast analytics across indexed documents. A relational database remains the system of record for transactions, joins and strict consistency. Many solutions use both, with the database holding authoritative data and Elasticsearch serving search or analysis.

Elasticsearch and OpenSearch are related search and analytics technologies with overlapping APIs and concepts, but they have different release paths, licensing models and ecosystem details. The right choice depends on hosting, compatibility, governance and the features already used by a company. A knowledgeable professional should assess migration effort rather than compare names alone.

Elasticsearch work often requires knowledge of Kibana, Logstash, Beats, REST APIs and data ingestion patterns. Useful supporting skills include Java, Python, cloud infrastructure, containers, Kubernetes, security and observability. The best combination depends on whether the project focuses on application search, analytics or operations.

Elasticsearch projects need a specialist who has handled the same level of operational and search complexity, not simply someone familiar with basic queries. Review experience with mappings, analyzers, relevance tuning, shard planning, reindexing and incident recovery. A small search feature and a business-critical cluster call for very different depth.

Elasticsearch projects are often suitable for remote collaboration because configuration, queries, dashboards and deployment changes can be reviewed digitally. On-site sessions in Vienna can still help with discovery workshops, stakeholder alignment or access-sensitive environments. Agree on documentation, communication language and secure access before work begins.

Elasticsearch quality shows in relevant results, predictable response times, reliable indexing and a cluster that remains recoverable under pressure. Ask for a clear mapping strategy, query tests, monitoring approach, backup plan and explanation of trade-offs. Good professionals also document how teams can operate and change the solution safely.

Elastic Stack work may involve Elasticsearch for indexing, Kibana for exploration, Logstash for transformation and Beats for collection. Specialists should understand how data moves through the stack, where parsing belongs and how version compatibility affects upgrades. They should also know when a simpler ingestion path is more appropriate.

The average hourly rate of freelancers in Vienna, Austria who have used Elasticsearch in their recent projects is 102 €, which corresponds to a daily rate of about 817 € based on an 8-hour working day.

Of the freelancers in Vienna, Austria who have used Elasticsearch in their recent projects, 70% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 20% hold a doctorate.

On average, freelancers in Vienna, Austria who have used Elasticsearch in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.4 years.

The most common languages among freelancers in Vienna, Austria who have used Elasticsearch in their recent projects are German (100%), English (100%), and French (18%).

The most common industries among freelancers in Vienna, Austria who have used Elasticsearch in their recent projects are Information Technology (100%), Banking and Finance (45%), and Transportation (45%).

The most common business areas among freelancers in Vienna, Austria who have used Elasticsearch in their recent projects are Information Technology (100%), Product Development (91%), and Business Intelligence (64%).

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.

Countries:

Vienna Graz

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