Jakarta Persistence (JPA) Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used Jakarta Persistence (JPA)
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
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
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.
Ola V.
Last position:
IT Lecturer
- IT training in theory and practice for IT specialists in application development and system integration
Toralf C.
Last position:
IT Consultant in PKI Software Development at BWI
- Implementation of a full-stack application with Angular as the frontend framework and Java as the backend language
- Use of the Swagger OpenAPI specification for REST communication between the frontend and backend applications
- Control of a card printer via the Nexus Card SDK framework
- Design and implementation of card management software with a web interface and a JavaFX module for printer monitoring
- Use of Cucumber tests for test automation and creation of test artifacts to test outside the development environment
- Use of Wireshark for network investigations to analyze the API of a third-party product and to monitor the REST API of the self-developed software
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
Igor K.
Last position:
Freelance Software Developer
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
Neil P.
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 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
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
2.9 years (Germany: 2 years)
Positions per freelancer
13
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: 10%)
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 19 Sep 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 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%)
- 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
Persistence foundations
Jakarta Persistence, commonly called JPA, is the standard API for mapping Java objects to relational database tables. It defines entities, relationships, repositories, persistence contexts and transaction behavior without tying an application to one database vendor. The specification is implemented by providers such as Hibernate ORM and EclipseLink.
What it builds
JPA supports the data layer of business applications, including services that manage orders, customers, payments, inventory and permissions. Strong specialists use it for:
- Entity models with inheritance, relationships and lifecycle rules
- Transactional CRUD services and repository layers
- JPQL, Criteria API and native SQL queries
- Database migrations and integration with REST or messaging services
Ecosystem and tooling
JPA commonly works alongside Jakarta EE, Spring Boot, Spring Data JPA, Hibernate ORM and application servers. Projects may also use PostgreSQL, MySQL, Oracle Database or Microsoft SQL Server with Flyway or Liquibase for schema changes. Effective work requires knowledge of Java, SQL, transactions, connection pools and build tools such as Maven or Gradle.
When expertise matters
Companies bring in freelance specialists when a persistence layer is slow, difficult to change or producing inconsistent data. They may need help modernizing javax.persistence imports to jakarta.persistence, upgrading Hibernate, separating domain logic from database concerns or introducing a safer repository design. In Berlin, remote collaboration is common, while teams may still need on-site workshops and clear English communication.
Quality signals
A capable professional understands the SQL generated behind entity operations rather than treating JPA as a black box. They prevent N+1 queries, accidental eager loading, oversized persistence contexts and unsafe transaction boundaries. They also define indexes with the data model, test locking and rollback behavior, and explain when a native query or direct JDBC access is more suitable.
Project collaboration
Before work begins, clarify the database engine, existing provider, Java and Jakarta EE versions, schema ownership and deployment model. Ask for a plan covering entity boundaries, migration safety, query observability and test data. Berlin-based teams can involve a specialist in architecture sessions, code reviews or focused remote delivery, depending on access and communication needs.
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 database tables and manage their lifecycle within application transactions. It supports entity relationships, queries, persistence contexts and database-independent data access. A provider such as Hibernate ORM performs the actual persistence work.
Jakarta Persistence (JPA) offers an object-relational mapping model that reduces repetitive SQL for domain-oriented applications. JDBC gives direct control over SQL and result handling, while jOOQ provides a type-safe SQL-centric approach. The right choice depends on query complexity, performance control and how closely the domain model matches the database.
A strong JPA specialist should also understand Java, SQL, transaction management, database indexing and connection pooling. Experience with Hibernate ORM, Spring Data JPA, REST services, Flyway or Liquibase is often valuable. Testing with real database behavior matters more than relying only on in-memory substitutes.
The need depends on the scope and risk of the persistence layer, not on a fixed duration. A small feature may need focused repository and entity work, while a migration or performance issue calls for someone who can inspect SQL, transactions, locking and production behavior. Ask for evidence of comparable data models and database constraints.
Jakarta Persistence (JPA) can work with many relational databases, including PostgreSQL, MySQL, Oracle Database and Microsoft SQL Server. Portability is strongest when queries stay within the specification, but provider behavior and database-specific SQL still need review. A specialist should test generated SQL against the real target database.
JPA work can usually be delivered remotely through repository access, database documentation, test environments and regular technical reviews. Berlin teams may choose on-site workshops for domain modelling or migration planning, while implementation remains remote. Clear English communication, secure access and agreed ownership of schema changes are essential.
Look for Jakarta Persistence (JPA) solutions that make generated SQL, transaction boundaries and query performance explainable. Review tests for relationships, rollback, concurrency and realistic database behavior. Good specialists also identify N+1 queries, avoid unnecessary eager loading and know when direct SQL is the better tool.
Hibernate is a persistence provider that implements the Jakarta Persistence specification; it is not the specification itself. Jakarta Persistence defines the standard APIs and rules, while Hibernate adds provider-specific behavior and features. A freelancer should distinguish portable JPA code from Hibernate-specific extensions before making architectural choices.
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 2.9 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.
Berlin 
Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf Countries:
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