
Jakarta EE Experts in Frankfurt
, matched in minutes from over 15,000 CVs with the power of AIHire experts who deliver Jakarta EE applications, REST and SOAP services, and secure, transaction-heavy backend systems with technologies such as CDI, JPA, and Jakarta Server Faces. FRATCH finds precise matches with vetted, available freelancers quickly.
Meet FRATCH Experts in Frankfurt, who have recently used Jakarta EE
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
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
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.
Minh D.
Last position:
Project Manager / Business Analyst / Application Manager at Finance and Insurance
Introducing 5 different process applications for various teams
Release planning: scope and time management
Resource/capacity planning
Conducting sprint planning / retrospectives
Increment planning (multiple sprints)
Preparing steering committee meetings / reporting to the executive board
Coordinating / aligning with external suppliers / deliveries
Multi-project resource planning
Aligning with the business unit and development team
Identifying best practices with IBM BAW
Cost control and planning for the project team and external service providers
Collecting KPIs using LogScale
Analyzing application errors with LogScale / queries
Defining user stories / aligning requirements with the business unit and development team
Testing and defect tracking
UI/UX design of the application
Preparing and facilitating brown-paper workshop
Test concept, test data, test organization, test execution
Recording team velocity / metrics
Executing tests
Scripts for automated testing
Organizing tests with the business unit and IT
Recording and prioritizing defects
Setting up and operating the application
Setting up application monitoring with LogScale dashboards
Checking health endpoints with PowerShell
Post mortem analysis
Setting up incident management
Setting up problem management
Analyzing errors using LogScale queries and dashboard
Pre-processing data for AI
Conducting evaluation with AI language models (Meta Llama 3.3 LLM and deepset Haystack) and RAG
Installing runtime environments for LLMs (large language model)
Evaluating various LLMs
Installing RAG (retrieval augmented generation) and integrating with LLM
Extracting 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
Ingo D.
Last position:
Analytics at BaFin - Federal Financial Supervisory Authority Frankfurt
- Introduction of methods for developing and automated deployment of cloud-native software and machine learning applications in OpenShift clusters
- Development of various programs in Python
- Technologies: Kubernetes, OpenShift, Kustomize, ArgoCD, Tekton, Docker, PodMan, Airflow, IntelliJ, PyCharm, Git, Bitbucket, Jira, Confluence, Python
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.
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
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
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 to map a project-specific DSL, including parsing and code generation
- Implementation of pixel-perfect synchronization between editor and print preview to improve user experience
- Technologies: Java 17/21, Swing, JavaFX, JBoss/Wildfly, JUnit, Mockito, Blockly, JPedal, ICEPDF, Eclipse
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
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: 53%)

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 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.
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 19 Sep 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 a set of specifications for building secure, scalable enterprise applications on the Java platform. It provides standard APIs for web services, dependency injection, persistence, messaging, transactions, security, and application lifecycle management. Teams use it for business-critical systems that must remain maintainable across vendors and runtimes.
Applications and services
Jakarta EE experts build modular backend services, internal portals, customer platforms, and integration layers. They design APIs and business workflows that connect databases, identity systems, messaging infrastructure, and existing enterprise software. Common delivery work includes:
- RESTful services with Jakarta REST
- Persistence layers using Jakarta Persistence and JPA
- Secure web applications with Jakarta Servlet and Jakarta Server Faces
- Event-driven workflows with Jakarta Messaging
Runtime ecosystem
Jakarta EE applications run on runtimes such as GlassFish, Payara, WildFly, Open Liberty, and TomEE. Strong specialists understand the differences between full application servers and lighter runtime profiles, then configure deployments with Maven or Gradle, containers, and CI/CD pipelines. They also work with CDI, Bean Validation, JTA transactions, and MicroProfile where distributed services require additional patterns.
When freelance expertise helps
Companies often bring in freelance Jakarta EE professionals during platform modernisation, application server migrations, or major integration work. They can help replace older Java EE naming, upgrade APIs and dependencies, untangle tightly coupled modules, or prepare a mature application for cloud and container deployment. Frankfurt teams may benefit from remote collaboration as well as on-site workshops, depending on security and stakeholder needs.
Skills that matter
A capable specialist combines Jakarta EE knowledge with sound Java fundamentals, relational database design, testing, and secure API development. They should be comfortable reading an existing codebase, tracing transactions across services, and improving performance without breaking business rules. Experience with Hibernate, Maven, Git, Docker, Kubernetes, observability, and automated testing is valuable when the application extends beyond the application server.
Signs of a strong professional
Look for clear reasoning about architecture, specifications, runtime behavior, and operational risk rather than familiarity with isolated annotations. A strong expert can explain migration decisions, define testable deliverables, and document deployment assumptions. During an assessment, ask how they would handle transaction boundaries, authentication, persistence performance, integration failures, and compatibility between Jakarta EE versions and the selected runtime.
Frequently asked questions
What clients ask us most about Jakarta EE — answered in short.
Jakarta EE is used to build enterprise applications, secure APIs, transaction-heavy services, and integration systems on Java. Its specifications cover areas such as dependency injection, persistence, messaging, web requests, validation, and security.
Jakarta EE provides vendor-neutral specifications implemented by application runtimes, while Spring Boot offers an opinionated application framework and ecosystem. The right choice depends on existing investments, runtime preferences, team skills, deployment requirements, and the level of standardisation a company wants.
Jakarta EE work usually benefits from strong Java, SQL, REST, testing, and security skills. Depending on the project, professionals may also need Hibernate, Maven or Gradle, Docker, Kubernetes, messaging systems, cloud deployment, and observability tooling.
Jakarta EE project needs vary with the system's risk and complexity, not just its feature list. A small API may need focused specification and testing knowledge, while a migration or distributed enterprise platform calls for experience with transactions, runtime configuration, security, integration, and production operations.
Jakarta EE projects are often suitable for remote collaboration because source code, environments, and delivery pipelines can be shared securely. Frankfurt companies should agree on communication routines, access controls, documentation, and any need for on-site workshops, while language expectations should be clear from the start.
Jakarta EE is a strong fit when an organisation needs standard enterprise services, long-lived application architecture, portability across runtimes, or compatibility with established systems. A lighter framework may be preferable for a narrowly scoped service where the full application-server model adds unnecessary complexity.
Jakarta EE quality is best assessed through concrete examples of shipped systems, migration decisions, testing approaches, and production troubleshooting. Ask the professional to explain transaction boundaries, API security, persistence performance, runtime configuration, and how they would make risks visible before delivery.
Jakarta EE uses the jakarta.* namespace, whereas older Java EE applications commonly use javax.*. Migration can affect imports, dependencies, servers, libraries, persistence behavior, and deployment configuration, so professionals should review compatibility across the full build and runtime stack rather than changing namespaces mechanically.
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 722 € 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:
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