Jakarta Persistence (JPA) Experts in Berlin
in minutes with vetted specialists and precise AI matchingHire experts who design clean entity models, tune persistence layers, and resolve ORM issues in Java and Jakarta EE systems. They work with JPA, Hibernate, and Spring Data JPA to keep data access stable, testable, and ready for production. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Jakarta Persistence (JPA)
Rüdiger Schulz
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.
Maciej Rosiek
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
Abhiroop Basu
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.
Ola Van Dunen
Last position:
IT Lecturer
- IT training in theory and practice for IT specialists in application development and system integration
Ursula Raab
Last position:
Sabbatical with Training at Own Sabbatical
Igor Kazarnovskiy
Last position:
Freelance Software Developer
Jorge Pérez Suárez
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
Olaf Nouvortne
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
Nikunjkumar Parmar
Last position:
Senior Java Backend Developer at Questax Professionals GmbH
- Provide the Price Listing Service Team Price for all cars and vans in different markets
- Adjust market-specific requirements like taxes, government subsidies, campaigns
- Import, synchronize and store new prices for all new and existing cars in Redis datastore
- Support our product and handle on-call duties
- Daily operations, developing new features, bug fixing
- Pair programming, code reviews, mob programming
- Develop POCs for new ideas
- Maintain and extend the backend
- DevOps tasks
- Perform Kubernetes updates
- Adjust and further develop Kubernetes resources
- Develop and customize Helm charts
- Adjust and update ArgoCD
- Maintain, adjust and further develop CI/CD pipelines
Neil Parsonage
Last position:
Software Engineer at AKDB
- Maintenance, enhancement, modernization, and testing of the OK.VERKEHR specialized application, a monolithic Enterprise Java solution (approx. 3.5 million 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 driver's license applications, modifications/extensions of licenses, management of parking permits and truck driver cards
- Development and maintenance of web services for communication between local road traffic authorities and the Federal Motor Transport Authority (Kraftfahrt-Bundesamt), FAER register, TÃœV inspection centers and driving schools
- Performance optimization and targeted refactoring for the future migration to a cloud architecture and addition of a new web client (Vaadin)
- 3rd-level support for customers in production
Botirjon Ruzmetov
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 Kumar
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 Ulrich
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 Mahmoud
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.
Robert Hänsel
Last position:
Senior Software Engineer at Zalando SE
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
3.1 years (Germany: 2.1 years)
Positions per freelancer
13 (Germany: 14)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
60% (Germany: 53%)
Doctorate
20% (Germany: 11%)
Certifications per freelancer
1 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
83% (Germany: 95%)
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Berlin 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
JPA basics
Jakarta Persistence, still widely searched as JPA, is the standard API for object-relational mapping in Java systems. It helps connect domain objects to relational databases with clear rules for entities, queries, and transactions.
What it covers
- Entity mapping and schema alignment
- JPQL and criteria queries
- Transaction handling and persistence context
- Integration with Jakarta EE, Spring, and Java services
Where it fits
JPA is common in business apps, back-office systems, APIs, and data-heavy services that run on relational databases. In Berlin, teams often need it for products that must stay maintainable while working across internal systems, partner integrations, and long-lived enterprise codebases.
Tools around it
Strong specialists usually work with Hibernate, EclipseLink, Spring Data JPA, Flyway or Liquibase, and test tools such as Testcontainers. They also understand lazy loading, caching, flush behavior, and query performance, because these details decide whether a persistence layer stays clean or becomes hard to support.
When to bring help
- A project has slow or brittle database access
- Entity mappings are inconsistent or outdated
- Query logic is hard to maintain
- A migration from older JPA or Java EE code is underway
- Teams need review before a release or refactor
What good experts deliver
Good JPA professionals write mappings that match the domain, keep queries readable, and avoid hidden performance traps. They document assumptions, protect transaction boundaries, and leave the codebase easier for your team to extend after the engagement ends. They can work remotely or with Berlin-based teams on-site when tight collaboration is needed.
Frequently asked questions
Key details about Jakarta Persistence (JPA), drawn from the questions we get asked most.
Jakarta Persistence (JPA) is used to map Java objects to relational tables and manage data access in a structured way. Companies use it for CRUD workflows, domain modeling, and query-heavy business systems where maintainability matters. It is a core fit for applications built on Jakarta EE, Spring, or other Java stacks.
JPA is the standard specification, while Hibernate is a common implementation of that standard. Spring Data JPA adds repository abstractions on top, which can speed up routine work but still depends on solid JPA knowledge underneath. A strong specialist knows when to stay close to the spec and when to use framework features.
A strong Jakarta Persistence (JPA) specialist understands entity design, query tuning, transaction boundaries, and how the persistence context behaves. They should be able to explain lazy loading, cascading, N+1 problems, and how to test persistence logic safely. Clean code and clear trade-offs matter more than clever shortcuts.
A good JPA freelancer often also knows SQL, PostgreSQL or other relational databases, Java, Spring, Jakarta EE, and migration tools like Flyway or Liquibase. Test skills matter too, especially around integration tests and container-based setups. These skills help the specialist fix the real cause of persistence issues, not just the symptom.
Companies bring in Jakarta Persistence (JPA) help when mappings have drifted from the domain, queries are slow, or old code is hard to change safely. It also helps before a major refactor, a framework migration, or a release where database behavior must be stable. External support is useful when the internal team needs focused review without long onboarding.
For many JPA tasks, remote work is enough because the work centers on code, queries, and database behavior. On-site time in Berlin can help when a team wants close review sessions, fast pairing, or joint decisions with product and backend stakeholders. The best setup depends on the need for direct collaboration, not the technology itself.
Ask for examples of entity modeling, query optimization, and difficult production fixes in JPA-based systems. Good evidence includes clear reasoning about trade-offs, tests that protect behavior, and the ability to explain why a mapping or query choice was made. Avoid specialists who only know annotations by heart but cannot discuss performance or maintainability.
Searchers often say JPA when they really mean Hibernate, Spring Data JPA, or even older Java EE persistence code. That is normal, and a good specialist will understand the stack behind the request. The important part is whether the person can work with the actual persistence layer in your system.
The average hourly rate of freelancers in Berlin, Germany who have used Jakarta Persistence (JPA) in their recent projects is 89 €, which corresponds to a daily rate of about 715 € 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, 60% hold at least a Master's degree, and 20% 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 3.1 years.
The most common languages among freelancers in Berlin, Germany who have used Jakarta Persistence (JPA) in their recent projects are German (89%), English (89%), and Spanish (11%).
The most common industries among freelancers in Berlin, Germany who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Automotive (39%), and Banking and Finance (39%).
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 (94%), and Quality Assurance (56%).
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.
Berlin 
Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf Request a free demo
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Philipp Thomaschewski
FRATCH CEO
