Jakarta Persistence (JPA) Experts in Berlin
matched in minutes by AIHire experts who model domain entities, tune Hibernate mappings and deliver transactional persistence for Spring Boot and Jakarta EE applications. FRATCH connects you quickly with vetted, available freelancers whose skills match your project precisely.
Meet FRATCH Experts in Berlin, who have recently used Jakarta Persistence (JPA)
Toralf C.
Last position:
IT Consultant in PKI Software Development at BWI
- Implementation of a full-stack application with Angular as frontend framework and Java as backend language
- Use of the Swagger OpenAPI specification for REST communication between frontend and backend applications
- Control of a card printer via the Nexus Card SDK framework
- Design and implementation of card management software with web interface and JavaFX module for printer monitoring
- Use of Cucumber tests for test automation and creation of test artifacts for testing outside the development environment
- Use of Wireshark for network investigations to analyze the API of a third-party product and to check the REST API of the self-developed software
Rüdiger S.
Last position:
Full-Stack Software Engineer / Consultant for Digitalization at ARTEVENT
Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.
Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.
Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.
Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.
Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.
Jorge P.
Last position:
Software Engineer – AWS and Kubernetes Specialist at Citti
- Creation, maintenance and hardening of Kubernetes clusters employing Ansible and ArgoCD
- Keywords: Ansible, AWX, Kubernetes, NetApp, Prometheus, CI/CD ArgoCD, SSO, Fluent-bit, HAProxy, Calico, Keycloak, oauth2-proxy, SealedSecrets, kubeseal, Aqua kube-bench, CIS-Benchmarks, Aqua Trivy operator
Abhiroop B.
Last position:
Software Engineer III at Foundry Digital
- Developed and deployed microservices in Kotlin and Spring Boot, integrated AWS Secrets Manager to secure credentials and decreased network calls using Spring cache.
- Refactored Kafka consumer using Spring Kafka with semaphore-based backpressure to cap records and keep heap memory stable under spikes; switched to batch upserts to cut down on database invocations; added Testcontainers integration tests for Kafka and database to pave the way for future changes.
- Automated the financial reconciliation workflow in Spring Boot (Kotlin) using Spring Scheduler, transactional boundaries, JPA/Hibernate on MySQL, and Flyway migrations, saving the accounts team 16+ hours per week.
- Designed and dockerized payments end-to-end test framework in Robot (Python) with reusable keyword libraries and profiles; integrated with GitLab CI (JaCoCo XML and HTML reports) to accelerate releases and lift code coverage to 80%.
- Implemented end-to-end observability on Datadog by instrumenting services with Datadog APM, correlating metrics and logs, provisioning dashboards, and creating monitors with burn-rate alerts and anomalies to harden reliability and give stakeholders clear visibility.
Murad H.
Last position:
Founder & Technical Lead at Hubpoint.Ai
- Founded an AI-powered scheduling and business-management SaaS for SMBs, owning technology strategy, architecture, product development, UX, billing and go-to-market execution.
- Architected and shipped a multi-tenant platform with REST APIs, RBAC, CRM, billing and notifications, powering the manager dashboard, admin console, booking experience and iOS/Android applications.
- Led and mentored 7 software engineers, 1 DevOps engineer, 1 QA engineer and 1 UX/UI designer, while remaining hands-on across backend, frontend and product delivery.
- Built AI voice and chat agents using Python/FastAPI, OpenAI and Anthropic APIs, RAG, pgvector and tool calling; integrated Twilio, Google Calendar/Meet, Stripe and Firebase.
- Owned production infrastructure and automated delivery across separate environments using Docker, Nginx, GitHub Actions and Grafana; represented the company at accelerators and international startup events.
Selected stack: Python, FastAPI, Node.js, Vue 3, React/Next.js, React Native, PostgreSQL, Redis, Docker
Maciej R.
Last position:
Full Stack Developer (Freelancer) at Runbuggy
- Led development of RunBot AI assistant autonomously using LLM-powered workflow automation (React, TypeScript, Java, MongoDB, NATS)
- Architected TMS platform providing unified transportation management and real-time logistics visibility with AI processing pipelines
- Designed event-driven microservices architecture supporting marketplace
- Drove architectural decisions and technical leadership across full-stack platform development
Ola V.
Last position:
IT Lecturer
- IT training in theory and practice for IT specialists in application development and system integration
Nikunjkumar P.
Last position:
Senior Java Backend Developer at Questax Professionals GmbH
- Provide the Price Listing Service team with prices for all cars and vans in different markets
- Adapt market-specific requirements such as taxes, government subsidies, campaigns
- Import and synchronize new prices for all new and existing cars and store them in the Redis datastore
- Support our product and on-call duty
- Daily business, development of new features, bug fixing
- Pair programming, code review, mob programming
- Develop POCs for new ideas
- Maintain and extend the backend
- DevOps tasks
- Run Kubernetes updates
- Adjust and further develop Kubernetes resources
- Develop and adapt Helm charts
- Adapt and update ArgoCD
- Maintain, adapt, and improve CI/CD
Ursula R.
Last position:
Sabbatical with Training at Own Sabbatical
Neil P.
Last position:
Software Engineer at AKDB
- Maintenance, further development, modernization and testing of the OK.VERKEHR specialist application, a monolithic Enterprise Java solution (with approx. 3,5 Mio LOC) for vehicle registration and driving license authorities
- Design, development, testing and maintenance of end-to-end workflows (dialogs, backend services and persistence layer, test suite) for new driving license applications, changes/extensions to driving licenses, management of parking permits and truck driver cards
- Development and maintenance of web services for communication between local traffic authorities and the Federal Motor Transport Authority, FAER register, TÃœV testing centers and driving schools
- Performance optimization and targeted refactoring for the future migration to a cloud architecture and the addition of a new web client (Vaadin)
- 3rd-level support for customers during ongoing operations
Olaf N.
Last position:
Frontend Engineer at Danaher/Hach Lange GmbH
- Developed a SolidJS frontend UI for a spectrometric water analysis system on an ARM-based embedded Linux platform
- Prototyped UI in TypeScript React/Nx with LitElements and MQTT integration
- Built production UI using SolidJS, SUID, i18next, Ajv, MQTT.js, C3.js
- Refined requirements with UX team and water analysis system engineers
- Defined and documented system architecture, MQTT message formats, frontend architecture, and development setup
- Set up frontend system from scratch, implemented domain-oriented type system, UI components, and application state
- Managed MQTT pub/sub services and schema-based message validation in frontend
- Coached two junior frontend developers
- Worked in an agile remote team using JIRA, Git, and Bitbucket
Botirjon R.
Last position:
Security Operations Specialist at Expert Systems AG
- Programming with TypeScript, JavaScript, PHP and other technologies
- Monitoring, programming, and fixing crawlers for the ProvenExpert and ProvenEmployer websites to collect all reviews and ratings for clients
- Testing all programs required for the correct functioning of the ProvenExpert and ProvenEmployer websites
- Designing and implementing data storage in databases using MongoDB and creating backups as needed
- Maintaining all computers (installing necessary software, connecting to all databases, registering and repairing) and other equipment
Kalyani K.
Last position:
Assistant Vice President at Deutsche Bank
- Technologies: Java, React, Python, Scala, Spring Boot, JPA, microservices, Kubernetes, Docker, OpenShift, Eureka, Prometheus, Grafana, Zookeeper
- Led the design and development of enterprise wide data warehouse platform for efficient and secure data sharing using stateless, event-driven microservices architecture
- Served as component guardian and Scrum master for three microservices, ensuring seamless integration and maintaining high data integrity
- Optimized performance through Prometheus and Grafana, achieving measurable system resilience
Dirk U.
Last position:
Developer at Future Training & Consulting GmbH
Training course with exam for Spring Certified Professional.
- Environment: Spring Boot 3, Spring Framework 6, IntelliJ
Fares M.
Last position:
Software Engineer at DXC Technology
- Developed and maintained backend services for Q8's Digital Cards and Mobility Platform in Java and Spring Boot.
- Designed scalable, multi-tenant microservices with API-first principles using Swagger.
- Implemented asynchronous messaging with Apache ActiveMQ to decouple services and improve resilience.
- Managed multi-tenant architecture with data isolation and configurable tenant logic.
- Ensured secure data handling with Spring Security and PostgreSQL, supported by Liquibase version control.
- Integrated JasperReports for generating PDF reports based on user and business needs.
- Followed Agile practices and implemented thorough unit and integration testing.
Discover over 15,000 top freelancers
Statistics of experts using Jakarta Persistence (JPA)
Aggregated from the professional profiles of matched freelancers.
Experience
23 years (Germany: 20 years)
Position duration
3 years (Germany: 2.1 years)
Positions per freelancer
13 (Germany: 14)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Retail, Automotive
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
58% (Germany: 55%)
Doctorate
17% (Germany: 11%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
85% (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 Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Average rates of experts in Berlin 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 29 Oct 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%)
- Retail (40%)
- Automotive (35%)
- Banking and Finance (35%)
- Media and Entertainment (35%)
- Education (30%)
- Healthcare (30%)
- Manufacturing (30%)
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 API for mapping object-oriented domain models to relational databases. It defines entities, relationships, persistence contexts, transactions and query interfaces, so application code can work with business objects rather than hand-written SQL for every operation. JPA is now part of Jakarta EE; older projects commonly call it Java Persistence API.
Core deliverables
Experts use JPA to create reliable persistence layers for business applications:
- Map entities, embedded values and inheritance hierarchies
- Model one-to-one, one-to-many and many-to-many relationships
- Implement repositories and JPQL or Criteria queries
- Manage transactions, locking and entity lifecycle events
- Diagnose lazy loading, cascading and N+1 query problems
Ecosystem and tooling
Hibernate ORM is the most common JPA provider, while EclipseLink is another established option. Projects often combine JPA with Spring Data JPA, Spring Boot, Jakarta EE, Bean Validation and relational databases such as PostgreSQL, Oracle or MariaDB. Strong specialists also work with Flyway or Liquibase, JDBC, connection pools and SQL profiling tools.
When expertise matters
Companies bring in freelance JPA specialists when a system has slow queries, inconsistent transaction boundaries or a difficult legacy model. They also help during migrations from javax.persistence to jakarta.persistence, database redesigns, application modernisation and the separation of persistence code from domain logic. In Berlin, remote delivery is common, while regulated or collaborative projects may still require on-site workshops and clear English or German communication.
Signs you need support
A focused review can prevent persistence issues from spreading through the application:
- Database access becomes slow as data volume or traffic grows
- Entity relationships produce unexpected inserts, updates or deletes
- Transactions behave differently across service boundaries
- Tests depend heavily on a particular database or provider
- A migration from Java EE APIs to Jakarta EE is underway
What strong specialists bring
The best professionals understand both JPA abstractions and the SQL generated underneath them. They choose fetching strategies deliberately, keep aggregate boundaries clear and validate performance with realistic queries and execution plans. They also design migration scripts, integration tests and observability around persistence failures, rather than treating the ORM as a black box.
Frequently asked questions
Key details about Jakarta Persistence (JPA), drawn from the questions we get asked most.
Jakarta Persistence (JPA) is used to persist Java objects in relational databases through standard mappings, queries and transaction handling. It supports domain models in business applications, REST services and enterprise systems, while a provider such as Hibernate ORM performs the actual database work.
Jakarta Persistence (JPA) reduces repetitive mapping and database access code by connecting entities with tables and relationships. JDBC or direct SQL offers finer control and can be preferable for reporting, bulk operations or highly tuned queries, so experienced specialists often combine both approaches.
Jakarta Persistence (JPA) is a specification, not a complete implementation. Hibernate ORM and EclipseLink are providers that implement the specification and add provider-specific features; a specialist should keep application code portable where practical and document any deliberate dependency on a provider.
Jakarta Persistence (JPA) work benefits from strong SQL, relational data modelling and transaction design. Useful adjacent skills include Spring Data JPA, Spring Boot or Jakarta EE, database migrations, testing with Testcontainers, connection-pool configuration and performance analysis.
Jakarta Persistence (JPA) expertise should match the risk of the persistence layer rather than a fixed time period. A straightforward CRUD service may need focused implementation skills, while complex inheritance, high concurrency, legacy schemas or performance problems call for a specialist who can inspect SQL and transaction behaviour in production-like conditions.
Jakarta Persistence (JPA) projects are usually well suited to remote collaboration because mapping, query review and automated testing can be shared through standard repositories and environments. Berlin teams should agree on working hours, documentation and whether English or German is expected, with on-site sessions reserved for architecture or domain workshops when useful.
Jakarta Persistence (JPA) quality is visible in clear entity boundaries, predictable transaction behaviour and SQL that matches the use case. Ask for evidence of query testing, migration safety, handling of lazy loading and performance diagnosis, not just screenshots of annotations or a list of frameworks.
Jakarta Persistence (JPA) support is valuable when slow queries, cascading errors, detached entities or schema changes are delaying delivery. A freelance specialist can audit the mapping model, fix a targeted bottleneck, guide a javax.persistence to jakarta.persistence migration or establish practices that the internal team can maintain.
The average hourly rate of freelancers in Berlin, Germany who have used Jakarta Persistence (JPA) in their recent projects is 92 €, which corresponds to a daily rate of about 733 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Jakarta Persistence (JPA) in their recent projects, 100% hold at least a Bachelor's degree, 58% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Jakarta Persistence (JPA) in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Berlin, Germany who have used Jakarta Persistence (JPA) in their recent projects are German (90%), English (90%), and Spanish (10%).
The most common industries among freelancers in Berlin, Germany who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Retail (40%), and Automotive (35%).
The most common business areas among freelancers in Berlin, Germany who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Product Development (95%), 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.
Hamburg 
Munich 
Cologne 
Frankfurt 
Stuttgart 
Dusseldorf Countries:
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