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Jakarta Persistence (JPA) Experts in Dusseldorf

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Hire experts who design entity models, tune JPQL and Criteria queries, and integrate Jakarta Persistence with Hibernate, Spring Data JPA and transactional Jakarta EE applications. Get fast, precise matching with vetted, available freelancers for your project.

Meet FRATCH Experts in Dusseldorf, who have recently used Jakarta Persistence (JPA)

Verified expert

Marc S.

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Fullstack Engineer | Java & Spring Boot | Angular | System Integration

Leverkusen
Marc S.

Last position:

Fullstack Developer at PLANT-MY-TREE

PLANT-MY-TREE®-per-order

The application enables Shopify merchants to automatically place tree-planting orders for every incoming order. By integrating ecological contributions directly into the purchase process, the manual effort for tracking and billing reforestation initiatives is eliminated. The system increases transparency for end customers through real-time visualizations of the ecological impact directly in the storefront. The architecture is based on a modular monolith with Spring Boot in the backend and an integrated React app inside the Shopify admin area. The solution uses webhooks to capture order data in an event-driven way and integrates the weclapp ERP system for automated monthly invoicing. An app proxy mechanism provides dynamic statistics such as CO2 compensation and planted trees without any performance loss for the merchant shop.

Tasks:

  • Design of the modular software architecture based on Spring Modulith to ensure high maintainability
  • Development of the event-driven business logic for evaluating Shopify orders via webhooks
  • Implementation of automated invoicing by connecting the weclapp REST API
  • Building the frontend using React Router and Shopify App Bridge for native integration
  • Design of the database model and implementation of the persistence layer with JPA/Hibernate and Prisma
  • Integration of internationalization processes for global use in the frontend and email communication
  • Automation of deployment processes using Docker and GitLab CI/CD

Project skills: Java 25, Spring Boot, Spring Security, Spring Modulith, Hibernate, JPA, REST API, PostgreSQL, Maven, Liquibase, React, TypeScript, React Router, Vite, Node.js, Prisma, Zod, Docker, Docker Compose, GitLab CI/CD, Shopify CLI, Shopify App Bridge, Polaris, weclapp, i18next, Lombok, Vitest

Verified expert

Anupriya P.

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Senior Software Engineer

Mülheim
Anupriya P.

Last position:

Senior Software Engineer at Telefonica Germany

(Maternity/Parental Leave: July 2023 – Aug 2024)

  • Domain: Payment Domain | Client: Telefonica Germany
  • Project: General Payment Service

The General Payment Service is responsible for processing of online payments via external payment service provider like Safer pay and PayPal

  • Developed Design of Use (DOU) and interface contract documentation, ensuring clarity and compliance across system integrations
  • Designed and delivered REST/SOAP web services with Spring Boot and Spring Data JPA, publishing Swagger contracts through WSO2 API Gateway to improve accessibility and governance.
  • Spearheaded the on-premises to AWS Cloud migration, re-platforming from Oracle to PostgreSQL on AWS RDS and deploying services on EC2, improving scalability and cost efficiency.
  • Containerized microservices using Docker and orchestrated deployments with Kubernetes, streamlining deployment pipelines and improving system reliability.
  • Implemented proactive monitoring and logging via AWS CloudWatch and Kibana, ensuring stability and performance during cutover.
  • Enhanced collaboration through code reviews and peer reviews, promoting maintainability and clean coding standards.
  • Strengthened quality by writing comprehensive JUnit tests and preparing detailed test cases enabling early defect detection
  • Delivered automated API testing with Ready API, Postman, and SOAPUI, and conducted performance testing with JMeter, ensuring reliability in high-transaction environments.
Verified expert

Ramzi A.

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Full Stack Java Developer

Düsseldorf
Ramzi A.

Last position:

Full Stack Java Developer at ISO Public Services GmbH

  • Contributed to the development of an advanced RAG AI Chat application that integrates multiple LLM models, enabling users to seamlessly switch between models based on specific tasks. This improved the user experience by providing tailored, efficient solutions for various use cases, such as event scheduling, booking systems, and complex task management.
  • Participated in designing and implementing a robust backend architecture using Spring AI, enabling advanced AI-driven capabilities like intelligent task automation, language processing, and contextual recommendations. Leveraged Spring AI Tools and Advisors to enhance the performance and decision-making of the AI models.
  • Collaborated on the integration of vector databases to support embeddings, enhancing the app's ability to understand user queries and perform actions based on complex, real-time data inputs.
  • Contributed to the development of a seamless, user-friendly front-end interface using React with TypeScript support, ensuring a modern, responsive, and scalable user experience across platforms.
  • Assisted in implementing state management with Redux RTK for efficient data flow and real-time updates, optimizing the overall user experience in dynamic scenarios such as scheduling and task management.
  • Partnered with stakeholders to define feature requirements, helping ensure that the app could scale to meet evolving business needs and integrate with other systems like calendar and email services. Worked alongside cross-functional teams, including data scientists and UI/UX designers, to fine-tune AI models and ensure alignment with project goals.
  • Contributed to ensuring end-to-end system performance, security, and compliance by helping integrate authentication mechanisms, role-based access control, and secure communication protocols in both backend and frontend layers.

Technology Stack and Key Contributions:

  • Java / Spring Boot / Spring AI: Developed backend services leveraging Spring AI for intelligent responses, task automation, and complex workflows.
  • React / TypeScript: Built intuitive user interfaces with React and TypeScript, ensuring a smooth and scalable frontend.
  • Redux RTK: Managed application state with Redux RTK for optimized state management, enabling dynamic, real-time data updates.
  • Vector Databases: Integrated vector databases (pgVector) for embedding support, improving AI model performance in handling complex queries.
  • PostgreSQL / Redis: Managed persistent and temporary data with relational and in-memory data stores, ensuring data integrity and speed.
  • Kafka: Utilized Apache Kafka for event-driven communication and seamless integration between microservices.
  • Spring Security: Ensured the security of backend services with robust authentication and authorization mechanisms.
  • CI/CD & DevOps: Integrated continuous integration and deployment pipelines to ensure rapid and secure deployment of features and updates.
Verified expert

Jan G.

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Master Data Application

Düsseldorf
Jan G.

Last position:

Master Data Application at confidential

  • Visualization, search, and maintenance of various types of master data, providing them via a REST API, and implementing a variety of import and export formats.

  • Implementation, architecture, project management.

  • Technologies and tools: Angular (Signals, Signal Store, swagger-codegen, standalone components), Java, PostgreSQL, ActiveMQ, JavaScript, Spring Boot (Spring Core, Spring MVC, Spring Data/JPA via Hibernate, Spring Security, Spring Modulith), JUnit, Flyway, QueryDSL, GraphQL, REST API, Node, npm, Maven, SonarQube, GitLab CI/CD pipelines, Docker, Nexus, OpenAPI + Swagger UI, Keycloak, OAuth2, OpenID Connect, IntelliJ IDEA, Jira, Confluence.

Verified expert

Anouar T.

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Fullstack Developer Java/Spring Boot

Düsseldorf
Anouar T.

Last position:

Fullstack Developer Java/Spring Boot at Snipes SE (Deichmann Group)

  • Migration of a .NET Core loyalty program for Snipes, used by mobile cash registers in Snipes stores
  • Part of the customer’s digitalization strategy in an agile, cross-functional team with a high level of ownership
  • Connecting interfaces to third-party systems (e.g. Brandung, CDS)
  • Quality assurance through automated tests
  • Carrying out developer, unit, and integration tests
  • Patterns & methods used: Clean Code, microservice architecture, agile development with SCRUM
  • Technologies & tools used: Spring Boot, Java 23, Java Persistence API (JPA), Azure DevOps, Azure Key Vault, Azure PostgreSQL, Docker & Kubernetes, Git, Graylog, Grafana, JUnit, SonarQube, Jira, Confluence, Prometheus, GitLab, GitLab CI/CD, Visual Studio Code
Verified expert

Rishu K.

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Java Technical Lead (Agile Developer)

Düsseldorf
Rishu K.

Last position:

Java Technical Lead (Agile Developer) at Accenture

  • Led the development of robust, scalable, and high-performance micro-services architecture.
  • Migrated legacy monolith systems to Spring Boot with RESTful APIs.
  • Designed, implemented, deployed, tested, and optimized scalable backend systems ensuring high availability and performance.
  • Maintained and deployed Dockerized applications on Kubernetes integrated into CI/CD pipelines.
  • Collaborated with cross-functional teams, including frontend developers, product managers, and designers, to translate business requirements into scalable and efficient backend solutions.
  • Mentored team members and contributed meaningful code reviews.
Verified expert

Jacqueline H.

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Düsseldorf
Jacqueline H.

Last position:

Kitchen Appliance Manufacturer

  • Setting up and enhancing an international subscription management system

  • Migrating and decommissioning a Hybris-SAP system and integrating Zuora

  • Implementing numerous interfaces to various systems (external and internal)

  • Setting up and improving monitoring with Grafana, Prometheus, and Databricks

  • Introducing logging with Loki

  • Implementing business requirements using jQuery, Thymeleaf, Spring Boot, Java, Go, and Python

  • Adjusting and extending the GitLab CI pipelines

  • Setting up and extending infrastructure as code with Terraform and ArgoCD on AWS

  • Setting up and running E2E and performance tests

  • Expanding the Databricks business intelligence solution to provide various KPIs

  • Responsibilities: Architecture, DevOps, development, unit tests, coaching employees and apprentices, E2E, smoke, and integration tests, agile methods consulting (Kanban, Scrum)

  • Technologies and methods: Java, Go, Kotlin, Node.js, Spring Boot, SOAP/REST, Quarkus, Thymeleaf, Vaadin, Slack, Jira, Confluence, IntelliJ, GitLab, SQS, Kafka, AWS, Kubernetes, Terraform, Maven, Gradle, GitLab CI, Databricks

Verified expert

Sara S.

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Senior Software Developer with a Focus on UI/UX

Düsseldorf
Sara S.

Last position:

Senior Software Developer with a Focus on UI/UX at vGen GmbH

  • Development of an interactive prototype for the concept of an AI-supported Enterprise Architecture Management tool. The goal was to present complex relationships between IT systems, business processes, and departments in a way that is easy to understand and to support decision-making in the context of IT transformations.

  • The prototype combined data-driven analyses with guided questions and interactive visualizations. A central part was the integration of a RAG process to provide domain-specific EAM knowledge in context. The focus was on quick idea validation, user-centered interaction design, and the technical feasibility of a scalable overall concept.

  • Design, implementation, and validation of a RAG process for domain-specific EAM knowledge with Python, LangChain, and graph/vector databases (Neo4J, Milvus)

  • Business and technical requirements analysis as well as definition of an MVP

  • Development of the architecture and technology concept using Angular, Spring Boot, GraphQL, and Kubernetes

  • Design of an interaction concept and creation of a brand style guide with Figma

  • Development of interactive prototypes with Angular, Konva.js, and TypeScript

  • Integration of CI/CD processes with GitLab CI/CD

Discover over 15,000 top freelancers

Statistics of experts using Jakarta Persistence (JPA)

Aggregated from the professional profiles of matched freelancers.

Experience

12 years (Germany: 20 years)

Jakarta Persistence (JPA) experts in Dusseldorf have 12 years of professional experience on average. It is 8 years less than in Germany, where the average stands at 20 years.

Position duration

1.3 years (Germany: 2 years)

Jakarta Persistence (JPA) experts in Dusseldorf stay in a single position for 1.3 years on average. It is 0.7 years less than in Germany, where the average stands at 2 years.

Positions per freelancer

10 (Germany: 13)

Jakarta Persistence (JPA) experts in Dusseldorf have completed 10 positions on average over the course of their careers. It is 3 fewer than in Germany, where the average stands at 13.

Top business areas

Information Technology, Product Development, Quality Assurance

Jakarta Persistence (JPA) experts in Dusseldorf have gathered most of their hands-on project experience in Information Technology, Product Development, and Quality Assurance.

Top industries

Information Technology, Banking and Finance, Retail

Jakarta Persistence (JPA) experts in Dusseldorf are most in demand in Information Technology, Banking and Finance, and Retail.

Certification focus areas

Project Management, Information Technology, Product Development

Jakarta Persistence (JPA) experts in Dusseldorf earn their certifications most often in Project Management, Information Technology, and Product Development.

Bachelor's degree or higher

100% (Germany: 96%)

100% of Jakarta Persistence (JPA) experts in Dusseldorf hold at least a Bachelor's degree. It is 4% higher than in Germany, where the rate stands at 96%.

Master's degree or higher

43% (Germany: 55%)

43% of Jakarta Persistence (JPA) experts in Dusseldorf hold at least a Master's degree. It is 12% lower than in Germany, where the rate stands at 55%.

Certifications per freelancer

12 (Germany: 3)

Jakarta Persistence (JPA) experts in Dusseldorf hold 12 professional certifications on average. It is 9 more than in Germany, where the average stands at 3.

Most common languages

German, English, French

Jakarta Persistence (JPA) experts in Dusseldorf most often speak German, English, and French.

Speak two or more languages

100% (Germany: 96%)

100% of Jakarta Persistence (JPA) experts in Dusseldorf 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
4 of the Jakarta Persistence (JPA) experts in Dusseldorf charge less than €640 per day.
2 of the Jakarta Persistence (JPA) experts in Dusseldorf charge between €720 and €800 per day.
One of the Jakarta Persistence (JPA) experts in Dusseldorf charges between €800 and €880 per day.
One of the Jakarta Persistence (JPA) experts in Dusseldorf charges €880 or more per day.
<€640 €720-​800 €800-​880 €880+

The chart shows how the daily rates of freelancers in this technology in Dusseldorf 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 Dusseldorf using Jakarta Persistence (JPA)

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

800
600
400
200
Rate comparison chart
Daily rate avg. 663 €
Germany avg. 745 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800
600
400
200
Rate comparison chart
Median rate 660 €
Germany median 756 €

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 (56%)
  • Retail (44%)
  • Telecommunication (44%)
  • Insurance (33%)
  • Transportation (33%)
  • Tourism (33%)
  • Energy (22%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

Persistence fundamentals

Jakarta Persistence (JPA) is the standard API for mapping Java objects to relational database tables. It manages entity state, relationships, inheritance and transactions while letting application code work with domain objects instead of hand-written SQL for every operation. The specification is part of Jakarta EE and is commonly implemented with Hibernate or EclipseLink.

Data and domain models

Strong JPA work starts with a clear domain model and deliberate mapping choices. Experts define entities, identifiers, embedded values, associations and cascade behavior so the object model reflects business rules without creating hidden database costs. They also handle schema evolution, constraints and naming conventions across development and production environments.

Queries and performance

JPQL and the Criteria API support portable queries, while native SQL remains useful for database-specific operations. Specialists diagnose lazy-loading errors, N+1 queries, excessive flushes, inefficient joins and oversized persistence contexts. They use fetch plans, pagination, batching, indexes and query inspection to keep transactional workloads predictable.

Ecosystem and delivery

JPA is often used alongside Spring, Spring Data JPA, Jakarta Transactions, Bean Validation and REST or messaging services. A capable professional can work across the surrounding persistence layer, including database migration tools, testing frameworks and connection pools.

  • Map complex relationships and inheritance safely
  • Build repositories and transactional service boundaries
  • Review Hibernate settings and generated SQL
  • Test persistence behavior with realistic database scenarios

When expertise matters

Companies usually bring in freelance specialists when a Java system is moving from JDBC to an object-relational model, modernizing from Java EE to Jakarta EE, or suffering from slow and inconsistent database access. Dusseldorf teams may need on-site workshops combined with remote delivery, especially when domain experts, application teams and database specialists work across locations.

  • Modernize legacy entity mappings and persistence code
  • Resolve production-only transaction or concurrency defects
  • Prepare a schema and persistence layer for new services
  • Establish review standards for queries and mappings

Judging strong professionals

Look for people who explain the trade-offs between JPA portability and database-specific behavior. They should be comfortable reading generated SQL, tracing transaction boundaries and testing failure cases rather than judging quality only by whether entities can be saved. Experience with the team’s database, deployment model and language expectations matters as much as familiarity with annotations.

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Frequently asked questions

Curious about Jakarta Persistence (JPA)? Here are the answers that come up again and again.

Jakarta Persistence (JPA) maps Java objects to relational database records and provides APIs for queries, entity state and transactions. Companies use it in business applications, APIs and Jakarta EE or Spring services where a domain model must stay consistent with stored data.

Jakarta Persistence (JPA) reduces repetitive mapping code and gives teams a consistent object-oriented model for common database operations. JDBC and direct SQL offer finer control and can suit reporting, bulk processing or highly database-specific workloads, so strong specialists choose between them rather than treating one as universally better.

JPA work commonly includes Hibernate, EclipseLink, Spring Data JPA, JPQL, database migration tools and transaction APIs. Useful adjacent skills include relational database design, SQL, indexing, testing, REST services and diagnosing connection-pool or concurrency issues.

Jakarta Persistence (JPA) projects need a specialist who matches the system’s risk and complexity, not simply someone familiar with entity annotations. A smaller CRUD service may need focused implementation support, while a mature platform benefits from someone who can review mappings, transaction boundaries, generated SQL and migration risks.

Jakarta Persistence (JPA) work is well suited to remote collaboration when the codebase, database access and test environments are available securely. For Dusseldorf teams, occasional on-site workshops can help align German or English-speaking stakeholders on domain models, data ownership and persistence decisions.

JPA quality is visible in clear mappings, controlled transaction boundaries, efficient SQL and tests that cover loading, updates, rollbacks and concurrency. Ask the specialist to explain why relationships use particular fetch and cascade settings, and how they would detect an N+1 query before it reaches production.

Jakarta Persistence (JPA) queries are a good default for portable domain operations and repository logic. Native SQL may be the better choice for vendor-specific functions, complex reporting, bulk updates or workloads where the database must control the execution plan directly.

Jakarta Persistence (JPA) specialists are often asked to resolve lazy-initialization failures, unexpected cascades, detached entities, duplicate joins and slow queries. They should also be able to trace transaction scope, inspect generated SQL and explain how Hibernate behavior differs from the application team’s assumptions.

The average hourly rate of freelancers in Dusseldorf, Germany who have used Jakarta Persistence (JPA) in their recent projects is 83 €, which corresponds to a daily rate of about 663 € based on an 8-hour working day.

Of the freelancers in Dusseldorf, Germany who have used Jakarta Persistence (JPA) in their recent projects, 100% hold at least a Bachelor's degree and 43% hold at least a Master's degree.

On average, freelancers in Dusseldorf, Germany who have used Jakarta Persistence (JPA) in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 1.3 years.

The most common languages among freelancers in Dusseldorf, Germany who have used Jakarta Persistence (JPA) in their recent projects are German (100%), English (100%), and French (33%).

The most common industries among freelancers in Dusseldorf, Germany who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Banking and Finance (56%), and Retail (44%).

The most common business areas among freelancers in Dusseldorf, Germany who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (67%).

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

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