Skip to main content
🇩🇪GDPR-compliant
Build reliable enterprise systems with

Jakarta EE Experts in Frankfurt

, matched in minutes from over 15,000 CVs with the power of AI

Hire 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

Verified expert

Uday V.

View profile

Full Stack Java Developer and DevOps Engineer

Frankfurt am Main
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
Verified expert

Umut G.

View profile

Freelancer

Frankfurt
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.
Verified expert

Minh D.

View profile

Project Manager / Business Analyst / Application Manager

Bad Vilbel
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

Verified expert

Ingo D.

View profile

Analytics

Frankfurt am Main
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
Verified expert

Ulm P.

View profile

Freelance IT Specialist

Steinbach (Taunus)
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.
Verified expert

Anand R.

View profile

Lean Six Sigma Black Belt

Frankfurt am Main
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
Verified expert

Werner K.

View profile

Test Coordinator, Designer and Engineer

Bad Homburg
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
Verified expert

Shreya B.

View profile

Technical Leader

Neu-Isenburg
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
Verified expert

Kabir K.

View profile

AI Engineer / Banking IT Specialist

Frankfurt am Main
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.
Verified expert

Anusha L.

View profile

Test Automation Consultant

Frankfurt
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)
Verified expert

Puya D.

View profile

Quality Assurance Consultant

Frankfurt
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
Verified expert

Ralf K.

View profile

Senior Java Developer, Consultant

Frankfurt am Main
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
Verified expert

Delly F.

View profile

Dad of 2 daughters

Dreieich
Delly F.

Last position:

Dad of 2 daughters at Family

Verified expert

Jörg-Ulrich H.

View profile

BigData Engineer

Friedrichsdorf
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)

Jakarta EE experts in Frankfurt have 22 years of professional experience on average. It is 1 year less than in Germany, where the average stands at 23 years.

Position duration

2.6 years (Germany: 2.2 years)

Jakarta EE experts in Frankfurt stay in a single position for 2.6 years on average. It is 0.4 years more than in Germany, where the average stands at 2.2 years.

Positions per freelancer

15

Jakarta EE experts in Frankfurt have completed 15 positions on average over the course of their careers.

Top business areas

Information Technology, Product Development, Quality Assurance

Jakarta EE experts in Frankfurt have gathered most of their hands-on project experience in Information Technology, Product Development, and Quality Assurance.

Top industries

Information Technology, Banking and Finance, Transportation

Jakarta EE experts in Frankfurt are most in demand in Information Technology, Banking and Finance, and Transportation.

Certification focus areas

Information Technology, Project Management, Product Development

Jakarta EE experts in Frankfurt earn their certifications most often in Information Technology, Project Management, and Product Development.

Bachelor's degree or higher

93% (Germany: 92%)

93% of Jakarta EE experts in Frankfurt hold at least a Bachelor's degree. It is 1% higher than in Germany, where the rate stands at 92%.

Master's degree or higher

29% (Germany: 53%)

29% of Jakarta EE experts in Frankfurt hold at least a Master's degree. It is 24% lower than in Germany, where the rate stands at 53%.

Certifications per freelancer

3 (Germany: 2)

Jakarta EE experts in Frankfurt hold 3 professional certifications on average. It is 1 more than in Germany, where the average stands at 2.

Most common languages

German, English, French

Jakarta EE experts in Frankfurt most often speak German, English, and French.

Speak two or more languages

100% (Germany: 96%)

100% of Jakarta EE experts in Frankfurt speak two or more languages. It is 4% higher than in Germany, where the rate stands at 96%.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 2 4 6 8
3 of the Jakarta EE experts in Frankfurt charge less than €480 per day.
2 of the Jakarta EE experts in Frankfurt charge between €480 and €640 per day.
3 of the Jakarta EE experts in Frankfurt charge between €640 and €800 per day.
6 of the Jakarta EE experts in Frankfurt charge between €800 and €960 per day.
3 of the Jakarta EE experts in Frankfurt charge €960 or more per day.
<€480 €480-​640 €640-​800 €800-​960 €960+

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 insights

Average rates of experts in Frankfurt using Jakarta EE

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

1000
750
500
250
Rate comparison chart
Daily rate avg. 722 €
Germany avg. 773 €

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 800 €
Germany median 800 €

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.

Published on:
FRATCH GPT

FRATCH GPT delivers freelancer proposals with clear reasoning and transparent pricing in minutes, helping your hiring department quickly and compliantly find the best talent.

Give it a try:

Try FRATCH GPT

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.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

Request a free demo

Get in touch with the FRATCH team and we will get back to you within 4 hours.

Contact form

Would you rather directly get in touch?
We always have the time for a call or email!

FRATCH CEO avatar

Philipp Thomaschewski

FRATCH CEO

LinkedInFRATCH