
Jakarta EE Experts in Frankfurt
, matched in minutes from over 15,000 CVsHire experts who design and modernize Jakarta EE applications, build REST and enterprise APIs, and work with MicroProfile, Hibernate and application servers. FRATCH finds the right vetted, available freelancer through fast, precise AI matching.
Meet FRATCH Experts in Frankfurt, who have recently used Jakarta EE
Umut G.
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Ornel Franck W.
Last position:
Sales Partner at ERGO PRO
- Industry: Insurance, Trade, IT
- Customers & Projects: Consulting and selling insurance and similar services
- Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
- Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports
Minh D.
Last position:
Project Manager / Business Analyst / Application Manager at Finance and Insurance
Introduction of 5 different process applications for different teams
Release planning: scope and time management
Resource/capacity planning
Conducting Sprint Planning / retrospectives
Increment planning (several sprints)
Preparation of Steering Committee meetings / reporting to the Board
Coordination / alignment with external suppliers / deliveries
Resource planning for multiple projects
Coordination with business department and development team
Identification of best practices with IBM BAW
Cost control and planning for the project team and external service providers
Collection of KPIs using LogScale
Analysis of application errors with LogScale / Queries
User Story definitions / coordination of requirements with the business department and development team
Testing and defect tracking
UI/UX design of applications
Preparation and moderation of Brown-Paper workshops
Test concept, test data, test organization, test execution
Collection of team velocity / metrics
Test execution
Script for automated testing
Test organization with business department and IT
Recording and prioritization of defects
Establishment and operation of the application
Establishment of application monitoring with LogScale Dashboards
Checking health endpoints with PowerShell
Post Mortem analysis
Establishment of Incident Management
Establishment of Problem Management
Analysis of errors using LogScale Queries and Dashboard
Pre-processing of data for AI
Evaluation using AI language models (Meta Llama 3.3 LLM and deepset Haystack) and RAG
Installation of runtime environments for LLMs (Large Language Model)
Evaluation of various LLMs
Installation of RAG (Retrieval Augmented Generation) and integration with LLM
Extraction of unstructured data with LLM and RAG
Project based on IBM BAW (Business Automation Workflow), Websphere Liberty, Domea, d.3, REST, LogScale (formerly Humio), Swagger, Powershell, JIRA, Confluence, Lucom Interaction Platform (LIP), Mattermost, Jabber
Uday V.
Last position:
Senior Full Stack Java Developer & DevOps Engineer at Deutsche Börse (DBAG)
Project: SCS (Settlement / Clearing Services)
Settlement platform serving multiple trading and clearing venues — counterparty risk safeguarding, settlement volume reduction, central risk management, and post-trade anonymity.
Technologies: Java 17, Spring Boot 3, Microservices, Spring Data JPA, SonarQube, Fortify (SCST), Mockito, Jenkins, OpenShift, Maven, Podman, GitHub, JIRA, Liquibase, Swagger, AMQP, Apache Camel, Terraform, PostgreSQL, Instana, Graylog.
- Identified and remediated CVEs in third-party libraries using SCA tooling, strengthening the security posture of production components.
- Maintained 90% code coverage with SonarQube, improving code quality and reducing production defects.
- Enabled mTLS for database authentication and message broker connections, enforcing encrypted, certificate-validated communication.
- Designed and deployed microservices with asynchronous, REST-based communication between components.
- Optimized a high-volume REST API (~200K requests) by reducing response time from 3s to 2s (33% improvement), boosting throughput and reliability under production load.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Orchestrated containerized workloads on Podman/OpenShift and governed schema evolution with Liquibase, ensuring reliable, repeatable deployments across all environments.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Streamlined release management by governing application images, JAR versions, and dependencies through DBAG Artifactory, ensuring version consistency and audit traceability across environments
Ralf K.
Last position:
Senior Java Developer, Consultant at Dataport AÖR
- Maintenance and further development of the Java/Swing-based @rtus FormsEditor
- Design and development of a graphical formula editor based on Google Blockly for representing a project-specific DSL, including parsing and code generation
- Implementation of character-accurate synchronization between the editor and print preview to improve the user experience
- Technologies: Java 17/21, Swing, JavaFX, JBoss/Wildfly, JUnit, Mockito, Blockly, JPedal, ICEPDF, Eclipse
Anand R.
Last position:
Freelancer Scrum Master, Mentor and Strategist at Confidential Fintec Startup
- Provided coaching and support to Scrum teams to adopt and implement agile practices effectively
- Analyzed business requirements and identified IT solutions to support business goals
- Evaluated existing IT systems and processes to identify optimization opportunities
- Managed stakeholder relationships and coaching
- Facilitated Scrum ceremonies and ensured adherence to Scrum principles and practices
- Identified and implemented lean startup process optimizations to improve efficiency and effectiveness of development and business processes
- Developed and monitored daily business strategies to ensure development goals were met
- Developed and implemented OKR strategies to align team goals with company objectives
- Tools/Methodology: Jira, Confluence, Miro, PowerBI, team building & mentoring, conflict resolution, impediment resolution
Ulm P.
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
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
Shreya B.
Last position:
Technical Leader at SLK Software
- Participate in quality workshops for requirements gathering and fit/gap analysis
- Demonstrated different QMS modules/processes with focus on customer requirements
- Design and implementation of cloud based quality system reducing manual efforts for the client
- Collaboration with cross functional teams to define and document system requirements
- Understanding the existing business process flow and suggesting improvements over moving to new quality systems
- Managed the implementation of a data migration strategy from legacy system to cloud
- Providing solution walkthrough to the business users
- Involved in integration of quality system with different third party systems
- Preparing weekly status report and presenting the same to business users and project stakeholders
Kabir K.
Last position:
AI Engineer / Banking IT Specialist at Hamburg Commercial Bank (HCOB) & Real Estate Firm
- Developed a retrieval-augmented generation (RAG) application using LangChain and LangGraph for corporate document parsing, delivered as an installable Electron desktop application with local AI models via Ollama.
- Currently providing ongoing AI feature support for the Loan Pricing Tool at Hamburg Commercial Bank, with a commitment of three days per month.
- Architected Kubernetes-native solutions, including Helm chart configuration and Azure DevOps pipeline integration.
Anusha L.
Last position:
Test Automation Consultant at EON Energy
- Design, develop, and maintain automated tests using Playwright with Python scripts, Typescript and Spring Boot
- Create test classes annotated with Spring Boot Test
- Create test scripts to cover functional, regression, and integration testing
- Ensure test automation coverage for web applications
- Collaborate with developers to identify testable requirements
- Troubleshoot automation test failures and resolve issues
- Integrate automated tests with CI/CD pipelines (e.g., Jenkins, GitLab CI/CD)
- Monitor and report test automation metrics
- Implement test data management and mocking strategies
- Ensure test reliability, stability, and maintainability
- Experience with containerization (Docker) and orchestration (Kubernetes)
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
Jörg-Ulrich H.
Last position:
Data flows for health insurance providers
- Further development and creation of data flows for health insurance providers
- Data management across various storage systems (DB2, MSSQL, PostgreSQL, S3, custom APIs, ...)
- Documentation and training
- Planning and deployment of NiFi 2.x (major upgrade)
- Integrating Grafana for visualization, monitoring, and alerting
- Extensive use of the NiFi API to continuously monitor the system and its components
Gulam N.
Last position:
Full-Stack Developer at .Attendo
Developed Skalman’s Food & Sleep Clock web app with a digital assistant that reminds users about medication intake, meals, movement breaks, and other daily routines.
Implemented personalized meal suggestions and simple recipes with support for allergies and special diets, integrating AI to generate tailored meal ideas.
Built Flight Booking App using React and Axios for the front end, Spring Boot with JPA and MySQL for the back end, and implemented user authentication, form validation, and booking logic.
Designed and built a chatbot that accepts natural language queries and generates intelligent responses using OpenAI’s language model.
Developed MarketPlace_AP with React and Axios on the front end, Spring Boot with JPA and MySQL on the back end, enabling users to discover services or products, with authentication and form validation.
Created a Meeting Calendar page allowing users to schedule, view, and manage meetings using React, Axios, Spring Boot, JPA, MySQL, and authentication with validation.
Created a Todo List Manager: built a REST API with Node.js, Express, and MongoDB; developed a React front end featuring status toggling and filtering; deployed on Heroku and integrated with GitHub for CI/CD.
Discover over 15,000 top freelancers
Statistics of experts using Jakarta EE
Aggregated from the professional profiles of matched freelancers.
Experience
22 years (Germany: 23 years)

Position duration
2.6 years (Germany: 2.2 years)

Positions per freelancer
15

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Banking and Finance, Transportation

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
93% (Germany: 92%)
Master's degree or higher
29% (Germany: 54%)

Certifications per freelancer
3 (Germany: 2)

Most common languages
German, English, French

Speak two or more languages
100% (Germany: 96%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Frankfurt 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.
Discover detailed Jakarta EE rate benchmarks:
Explore rate insightsAverage rates of experts in Frankfurt using Jakarta EE
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Jakarta EE 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 (78%)
- Transportation (56%)
- Government and Administration (44%)
- Telecommunication (44%)
- Automotive (39%)
- Retail (39%)
- Insurance (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Enterprise Java Foundation
Jakarta EE is the open standard for building secure, scalable enterprise applications with Java. It provides specifications for web interfaces, REST services, dependency injection, persistence, messaging and transactions. The ecosystem was formerly known as Java EE and is now governed through the Eclipse Foundation.
Applications and Systems
Jakarta EE supports business-critical back ends and distributed systems where reliability, clear contracts and long-term maintainability matter. Companies use it for customer portals, internal platforms, transaction-heavy services and integration layers.
- Design RESTful APIs and service-based architectures
- Build secure web applications and enterprise workflows
- Connect databases, messaging systems and external services
- Modernize Java EE applications for Jakarta EE
Specifications and Tooling
Strong specialists work across APIs such as Jakarta REST, CDI, Persistence, Validation, Transactions and Messaging. They may use Hibernate ORM, MicroProfile, Maven, Gradle, Arquillian and Testcontainers, together with application servers such as WildFly, Payara, Open Liberty or GlassFish.
Delivery and Integration
Jakarta EE applications often connect identity providers, relational databases, message brokers and cloud infrastructure. Professionals need practical command of Docker, Kubernetes, CI/CD, observability and automated testing, while understanding deployment models from traditional application servers to containerized runtimes.
In Frankfurt, this expertise can support financial services, logistics, industrial operations and public-sector systems. Remote collaboration works well when architecture decisions, API contracts and release responsibilities are documented clearly; on-site work can help with complex legacy environments and stakeholder workshops.
When to Bring in Experts
Companies usually seek freelance expertise when an enterprise Java system needs a focused delivery push, a platform migration or an independent technical review. Typical signals include:
- Moving from Java EE namespaces and runtimes to Jakarta EE
- Splitting a monolith into well-defined services
- Improving deployment, testing or production observability
- Resolving transaction, performance or integration issues
What Good Looks Like
A strong professional explains specification choices instead of relying on framework habits. They define boundaries, security controls, data ownership and failure handling, then leave behind tested code, useful documentation and a repeatable delivery process. Experience with the relevant application server and the team’s Java version is more valuable than generic familiarity with Jakarta EE.
Frequently asked questions
What clients ask us most about Jakarta EE — answered in short.
Jakarta EE is used to build secure, scalable enterprise applications and services with Java. Common deliverables include REST APIs, web portals, transaction processing systems, messaging workflows and integration layers.
Jakarta EE is a specification-based standard implemented by runtimes such as WildFly, Payara and Open Liberty, while Spring is a broad framework ecosystem centered on Spring projects. The better choice depends on existing standards, runtime preferences, team skills, migration constraints and operational requirements.
A strong Jakarta EE specialist should understand relational databases, SQL, Hibernate ORM, REST, authentication, messaging and automated testing. Docker, Kubernetes, CI/CD and observability are also useful when applications run in modern production environments.
Jakarta EE work can range from a targeted API or migration to a large enterprise platform. The right level of experience depends on system criticality, application-server complexity, integration depth and whether the work includes architecture, delivery or production support.
Jakarta EE projects are often suitable for remote collaboration because code, specifications, tests and deployment pipelines can be reviewed digitally. Frankfurt-based teams may still prefer on-site sessions for legacy-system discovery, architecture workshops or coordination across regulated business units.
Jakarta EE is the successor to Java EE, following the transfer of the enterprise Java specifications to the Eclipse Foundation. The namespace transition from javax to jakarta is a key migration concern, so compatibility and application-server support should be checked before upgrading.
Ask how the professional handles transactions, security, persistence, messaging and failure recovery in your application context. Review relevant delivery examples, tests, deployment practices and knowledge of the exact Jakarta EE specifications and runtime your system uses.
Jakarta EE is supported by runtimes including WildFly, Payara, Open Liberty and GlassFish, with support varying by specification level and release. A suitable specialist should verify compatibility across APIs, vendor features, libraries, deployment configuration and the target Java runtime.
The average hourly rate of freelancers in Frankfurt, Germany who have used Jakarta EE in their recent projects is 90 €, which corresponds to a daily rate of about 720 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Jakarta EE in their recent projects, 93% hold at least a Bachelor's degree and 29% hold at least a Master's degree.
On average, freelancers in Frankfurt, Germany who have used Jakarta EE in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Frankfurt, Germany who have used Jakarta EE in their recent projects are German (100%), English (100%), and French (17%).
The most common industries among freelancers in Frankfurt, Germany who have used Jakarta EE in their recent projects are Information Technology (94%), Banking and Finance (78%), and Transportation (56%).
The most common business areas among freelancers in Frankfurt, Germany who have used Jakarta EE in their recent projects are Information Technology (100%), Product Development (94%), and Quality Assurance (83%).
Main locations of FRATCH Experts, who have recently used Jakarta EE
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:
Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!

Berlin
Hamburg
Munich
Cologne
Stuttgart
Dusseldorf
Nuremberg