
Jakarta Persistence (JPA) Expert in Munich
for reliable Java data access, matched in minutesHire experts who design persistence layers, map Java objects to relational databases and tune Hibernate-based applications. FRATCH matches you quickly and precisely with vetted, available freelancers for remote or on-site work in Munich.
Meet FRATCH Experts in Munich, who have recently used Jakarta Persistence (JPA)
Fred H.
Last position:
Software Architect and Developer at Personal project
Recurring problem in my own AI-assisted projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but remain difficult to follow and scattered across Markdown files – knowledge is lost as soon as it is no longer in the context window. arknet turns requirements engineering and architecture knowledge into structured, verifiable data instead of plain text: requirements, use cases, and architecture decisions form a consistently linked knowledge graph, traceable from requirement to architecture decision – queryable by both people and AI agents. Technically based on RDF/OWL and a custom MCP server.
Result: Working MCP daemon, Docker image published automatically to GHCR, nine hexagonal modules, eleven ADRs (including an Open-Core licensing model). Requirements engineering and Ubiquitous Language hexagons are active. Public as a Community Edition under Apache-2.0 since 07/2026 (github.com/kogn-io/arknet), together with the Claude Code plugin and GHCR image; Open-Core model.
Label: Java, Maven, RDF, RDF4J, OWL, SPARQL, Model Context Protocol, Spring AI, Docker, GitHub, Git, Claude Code, Obsidian, DDD, Hexagonal Architecture, ArchUnit, JUnit, AssertJ, Interface Development, Software Architecture, Continuous Integration, Knowledge Management
Marcus B.
Last position:
Java and Quarkus Expert at Large German energy service provider
- Modernization of a large-scale Java enterprise application*
The project is modernizing a complex enterprise application that has grown over many years. The existing Spring-based legacy system runs on Java 8, OSGi, and Eclipse RCP and is being gradually migrated to a modern, maintainable architecture with Java 25 and Quarkus.
Marcus works on analysis, architecture, refactoring, and implementation. One focus is on untangling historically grown structures and dependencies and on building a clean, sustainable Java and Quarkus technology stack.
Tools & technologies: Java 8, Java 25, Quarkus, Hibernate ORM with Panache, EclipseLink, OSGi, Eclipse RCP, Maven, JUnit, Mockito, REST, JSON, Git, Eclipse IDE, IntelliJ IDEA Ultimate, Jira, Confluence
Tamás E.
Last position:
Senior Software Developer / Tech Lead at NDA (defense / OSINT)
- Designing the audit logging framework
- Implementing APIs for developers to integrate in their codebase
- Implementing ingestion pipeline, database query layer and UI for browsing the audit events
- Improving stability and reliability of the backend system
Srinivasu K.
Last position:
Atruvia
Project: Tax Exemption Order Application
The client has an existing application for creating and maintaining tax exemption orders for end customers; design and implementation of a comparable application for internal employees.
- Design and implementation of microservices and the UI for the business area "tax exemption orders" using Domain Driven Design as well as Spring Boot and Angular.
- Implementation of reactive, non-reactive, and asynchronous APIs (Spring REST, WebFlux, GraphQL).
- Development of the Angular application, including state management using Signals, RxJS Observables, and subscriptions.
- Securing the API and the application using OAuth2, JWT, and OpenID Connect.
- Configuration and setup of CI/CD pipelines with Jenkins.
- Collaboration with cross-functional teams and conducting code reviews.
Environment: Java, Spring Boot, Angular 18 & 19 (standalone, signals), RxJs, Bootstrap CSS, Vitesting, OpenShift, Istio, microservices, Kafka, Dynatrace, Jenkins, GitLab, Graylog, Sonar, Oauth2, OracleDB
Vitaliy R.
Last position:
DevOps GitOps (temp) at Signal Iduna
- Responsible for Openshift/Kubernetes on-prem administration and developer support.
- Developed URP infrastructure automation with Python, Ansible, Kustomize and ArgoCD, Argo Workflow/Events stack.
- Wrote smoke and load tests for URP infrastructure utilizing Python, Kustomize and ApplicationSets.
- Helped to set up and deploy URP infrastructure in Google Cloud, GKE.
- Set up monitoring for URP and ArgoCD stack with Splunk Cloud.
- Performed system administration tasks across RedHat Linux, Kubernetes/Openshift, ArgoCD, GitLab, Bitbucket Enterprise, Kafka and MongoDB.
Christian T.
Last position:
HDI DevOps & Fullstack Engineer at HDI
- Spring Boot Software Engineer
- DevOps Engineer (Kubernetes, Azure DevOps)
Toolstack: Java, Spring Boot, Kubernetes, Helm, GitOps, ArgoCD, Docker, Azure DevOps, CI/CD Pipelines, Git, Postgres
Frederik C.
Last position:
Freelance Full-Stack Software Developer at Bundesdruckerei GmbH
Development of the digital organ donation register, commissioned by the Federal Institute for Drugs and Medical Devices (BfArM)
Implementation of user stories in several microservices (frontend and backend)
Ensuring quality with unit, integration, and E2E tests
Conducting code reviews
Coordination with other development teams
Taking over the software license check and simplifying the process
Responsibility for implementing and documenting the business logging
Setting up a development environment with Docker Compose
Enis S.
Last position:
Software Developer at 50Hertz Transmission GmbH
- Participated in the gradual modernization of components into cloud-native 12-factor applications.
- Worked closely with the business operations team to eliminate manual processes and resolve several performance bottlenecks.
- Designed and implemented a CI/CD pipeline to increase developer productivity, enforce quality and security checks, and automate product delivery.
- Migrated several components into the OpenShift Kubernetes cluster.
- Built a monitoring stack from scratch with Prometheus and Grafana to monitor services running in OpenShift.
- Developed dashboards in both Grafana and Splunk for operational transparency.
- Implemented an OIDC/OAuth2-based single sign-on (SSO) solution with Keycloak to secure multiple applications.
- Technologies: Java, Spring, Quarkus, Kafka, MySQL, Cassandra, Redis, Spring Data, Hibernate, Docker, Kubernetes, OpenShift, Keycloak, OIDC, OAuth2, Helm, Prometheus, Grafana, Splunk, Spark.
György K.
Last position:
Senior Fullstack Developer at Rockstardevelopers GmbH
- Development of a test system
- Establishment of the architecture using Scala/Java for the backend and Swing for the frontend
- Setup of CI/CD pipelines with Jenkins for continuous integration, including automated builds
- Participation in the Scrum team, including daily stand-ups, sprint planning, and retrospectives
- Technology environment: Scala, Swing, EJB, JPA, Scrum, PostgreSQL, Mercurial
Mani Y.
Last position:
Full-Stack Developer at Continentale Krankenversicherung a. G.
- Set up the new digitization strategy.
- Using Camunda as a process engine, a new way of handling batch and dialog tasks is created.
- In close cooperation with the business department, the individual processes are created and put into production.
- Forms for controlling manual interventions, e.g. when adjusting applications, are implemented.
- Gradual migration of old code from IBM WebSphere to JBoss.
- Skills: Arquillian, Camunda, Initiative, Empathy, Hibernate, Jackson, Java/JEE, JBoss, Jersey, JSON, JUnit, Openness to criticism, Willingness to learn, REST, Teamwork, WebServices.
Abhijit I.
Last position:
Lead Backend Developer and Architect at Gloresoft GmbH
I have worked across multiple international client projects, holding senior roles including Software Architect, Senior Software Developer, Technical Lead, and Lead Backend & DevOps Engineer. My experience spans complex enterprise environments in banking, financial services, telecommunications, engineering, and automotive domains, supporting organisations such as UniCredit Bank, Telefónica O2, and BMW.
At UniCredit Bank, within the Securities Domain Transformation program, I led the modernisation of legacy monolithic systems into cloud-native Spring Boot microservices and an Angular frontend deployed on Google Cloud Platform. Beyond implementation, I was responsible for defining the target architecture, producing system architecture diagrams and sequence diagrams, and preparing API contract documentation for clients. I designed RESTful APIs and integrated Apigee for secure and reusable cross-project service consumption of APIs. I architected Kubernetes-based deployments using Helm. CI/CD pipelines were built with Jenkins, automating code analysis using Sonar, as well as testing and deployment stages. Defining clean coding principles for the project, conducting regular code reviews, and mentoring junior developers were also among my tasks at UniCredit.
At Telefónica O2, I led the transformation of a legacy call centre desktop application into a cloud-native microservices and micro-frontend solution. I actively contributed to the platform architecture, creating system architecture diagrams, component diagrams, architecture documentation, and ADRs for future references. I improved the performance and scalability of the services. I optimised AWS infrastructure costs, particularly by minimising the use of DynamoDB and reusing test environments effectively. Observability was implemented using Prometheus, Grafana, CloudWatch, and Splunk dashboards. CI/CD pipelines were delivered using GitLab, Docker, Kubernetes, and AWS. Conducted techinical sessions for teams.
Syamala H.
Last position:
Fullstack Developer at BLG Logistics Group
As part of developing this project, various apps were developed for an IBM portal environment based on portlets and Spring Boot services, as well as the setup of a BI platform based on QlikView
Full-stack development of applications, technical analysis, refinement of requirements with the business department, coordination with the customer, DevOps
Team size: 8 people
Technology: Java 11.0, Maven, Git, Spring, Hibernate, JUNIT, Mockito, React, Jira, SQL, Spring Boot, CD/CI Jenkins, Kanban, Rest Api, Oracle
Environment: Eclipse, IBM Rational Application Developer
Alexander S.
Last position:
Founder and Full-Stack Developer at TrumpPostAlert.com
- Feasibility study for quick implementation of requirements with AI-based development (vibe coding)
- Development of a single-page web app in Angular 20
- Development of a backend server application in Kotlin
- Integration with Google Cloud Platform (Firebase): authentication, Firestore NoSQL database, storage, Cloud Functions, hosting and Cloud Run
- Integration with a NEON PostgreSQL database
- Automated AI-based analysis of Donald Trump's posts on Truth Social and analysis of relevance for stock markets and geopolitical topics
- CI/CD via GitHub Actions using Docker and Google Cloud Run
- Technical environment: Angular 20 (Angular Material, RxJS), Kotlin 2.2.20, TypeScript 5.9.3, Spring Boot 3.5.6, Google Cloud Platform (Firebase, Cloud Run, Gemini, Vertex AI), ChatGPT Codex, Git, GitHub, SourceTree, IntelliJ WebStorm, IntelliJ IDEA
Christian S.
Last position:
Senior Java Developer at Freelance
- Numerous projects as a Senior Java Developer or Team Lead in the technical domain, banking sector, public sector, etc. Please ask for a detailed project list. My contact: office(at)stellwag.it
Bela B.
Last position:
Full Stack Lead Developer, Backend Architect at Telefonica (O2)
The software supports the complete planning and approval of antennas for mobile telephony.
The system was implemented using an event-driven microservice architecture for cloud-native deployment with Quarkus on the backend, Kafka for communication, and Angular for the frontend. Services run on Kubernetes in Google Cloud. A special challenge was synchronizing with the legacy system still used by some users.
Discover over 15,000 top freelancers
Statistics of experts using Jakarta Persistence (JPA)
Aggregated from the professional profiles of matched freelancers.
Experience
24 years (Germany: 20 years)

Position duration
2.2 years (Germany: 2 years)

Positions per freelancer
14 (Germany: 13)

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Banking and Finance, Automotive

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
75% (Germany: 55%)
Doctorate
13% (Germany: 10%)

Certifications per freelancer
2 (Germany: 3)

Most common languages
German, English, Hungarian

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 Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Munich using Jakarta Persistence (JPA)
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 Persistence (JPA) 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 (85%)
- Automotive (60%)
- Government and Administration (55%)
- Insurance (45%)
- Manufacturing (45%)
- Retail (45%)
- Telecommunication (45%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What JPA Does
Jakarta Persistence (JPA) is the standard Java specification for mapping objects to relational database records. It defines entities, relationships, queries and transaction handling without tying application code to one persistence provider. Teams use it to build maintainable data access layers for business applications, APIs and enterprise systems.
Core Mapping Skills
Strong JPA professionals model domain objects with annotations or XML and understand how those mappings behave at runtime. They work with entity identity, inheritance, composite keys, cascading, fetch strategies and the persistence context. They also manage schema evolution and keep object models aligned with existing databases.
Ecosystem and Tools
JPA is commonly implemented with Hibernate ORM, EclipseLink or another Jakarta-compatible provider. Effective work often includes Spring Data JPA, Jakarta EE, Spring Boot, Maven or Gradle, and relational systems such as PostgreSQL, Oracle Database or Microsoft SQL Server.
- Entity and relationship mapping
- JPQL, Criteria API and native SQL
- Transaction boundaries and locking
- Hibernate configuration and diagnostics
Typical Project Work
Companies bring in JPA specialists when a persistence layer needs to be designed, modernized or stabilized. Their work can include:
- Creating repositories for new services
- Migrating from older Java EE namespaces
- Resolving lazy-loading and N+1 query issues
- Improving transaction and query behavior
- Integrating legacy schemas with new applications
When Expertise Matters
Freelance expertise is valuable when database behavior is slowing delivery or producing inconsistent results. Warning signs include excessive queries, unclear transaction ownership, detached entities, unreliable integration tests or mappings that fail against production data. In Munich, teams may combine remote collaboration with on-site workshops and expect clear communication in English or German.
What Good Looks Like
A capable professional explains the trade-offs behind an entity model instead of applying annotations mechanically. They inspect generated SQL, profile real workloads, test transaction boundaries and know when direct SQL is safer than an abstraction. They also distinguish JPA specification behavior from provider-specific features, document assumptions and leave a persistence layer that other Java specialists can maintain.
Frequently asked questions
Not sure where to start with Jakarta Persistence (JPA)? These answers cover the essentials.
Jakarta Persistence (JPA) is used to map Java objects to relational database tables and manage their lifecycle inside application transactions. It supports repositories, queries, relationships and persistence contexts in business applications, APIs and enterprise systems.
Jakarta Persistence (JPA) provides an object-relational mapping model, entity lifecycle management and portable query abstractions. JDBC offers more direct control over SQL and result handling, so it can be preferable for highly specialized queries or performance-critical data access.
A strong JPA freelancer should understand relational database design, SQL, transactions and indexing. Experience with Hibernate ORM, Spring Data JPA, Spring Boot, testing tools and database migration practices is also useful.
The right level depends on the scope and risk of the system. For a simple repository layer, solid Jakarta Persistence knowledge may be enough; complex mappings, legacy schemas and production performance issues call for a professional who can diagnose provider behavior and transaction boundaries.
Yes. Jakarta Persistence (JPA) work is well suited to remote collaboration when the team provides database access, clear domain documentation and reliable development environments. On-site sessions in Munich can still help with workshops, architecture decisions or coordination with local stakeholders.
JPA is a strong choice when the application has a rich domain model, repeated entity operations and clear transaction boundaries. A query mapper or direct SQL approach may fit better when the workload is read-heavy, schema-driven or dependent on database-specific queries.
Ask the professional to explain the entity model, generated SQL, fetch plans and transaction ownership. Good Jakarta Persistence work includes tests for relationships and locking, monitoring for inefficient queries, and clear separation between specification features and provider-specific behavior.
The Jakarta Persistence namespace is used by current Jakarta EE-based applications, while older Java EE systems commonly use the javax.persistence namespace. A freelancer should be able to assess dependency compatibility, update imports and providers, and plan migration testing without disrupting existing data.
The average hourly rate of freelancers in Munich, Germany who have used Jakarta Persistence (JPA) in their recent projects is 93 €, which corresponds to a daily rate of about 743 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Jakarta Persistence (JPA) in their recent projects, 100% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Munich, Germany who have used Jakarta Persistence (JPA) in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Munich, Germany who have used Jakarta Persistence (JPA) in their recent projects are German (100%), English (95%), and Hungarian (15%).
The most common industries among freelancers in Munich, Germany who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Banking and Finance (85%), and Automotive (60%).
The most common business areas among freelancers in Munich, Germany who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (60%).
Main locations of FRATCH Experts, who have recently used Jakarta Persistence (JPA)
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
Cologne
Frankfurt
Dusseldorf