Jakarta Persistence (JPA) Experts in Düsseldorf
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Meet FRATCH Experts in Düsseldorf, who have recently used Jakarta Persistence (JPA)
Marijn S.
Last position:
Senior Software Engineer at Puls Security GmbH
Optimizing and acceleration of our Gitlab CI pipeline
Conceptual work for the PoC of the Zero Trust system
Extension of the policy-engine backend in Go
Extension of the policy-testing mechanism in Python
Architectural design of the PEP component of Zero Trust
Documentation of the product
Technologies: Zero Trust, Go, Python, Gitlab CI, Docker, JWT, Domain-Driven Design
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.
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.
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
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.
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
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.
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
Discover over 15,000 top freelancers
Statistics of experts using Jakarta Persistence (JPA)
Aggregated from the professional profiles of matched freelancers.
Experience
13 years (Germany: 20 years)
Position duration
1.5 years (Germany: 2.1 years)
Positions per freelancer
11 (Germany: 14)
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Project Management, Information Technology, Product Development
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
33% (Germany: 55%)
Certifications per freelancer
13 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (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 Düsseldorf 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 Düsseldorf 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%)
- Banking and Finance (63%)
- Retail (50%)
- Insurance (38%)
- Transportation (38%)
- Telecommunication (38%)
- Tourism (38%)
- Energy (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Persistence layer
Jakarta Persistence (JPA) is the standard API for mapping Java objects to relational database tables. It lets enterprise applications work with domain entities, relationships and transactions without placing SQL in every business operation. JPA defines the programming model, while providers such as Hibernate implement it.
Mapping models
Strong specialists translate complex business domains into maintainable entity models. They work with annotations such as @Entity, @Id, @Embedded and @ManyToMany, and choose suitable fetch, cascade and inheritance strategies. They also handle composite keys, optimistic locking and database constraints without hiding important persistence behavior.
Ecosystem and tooling
JPA commonly appears in Jakarta EE and Spring applications, with Hibernate as a widely used provider. Relevant expertise includes:
- Spring Data JPA repositories and transaction boundaries
- Hibernate configuration, JPQL, Criteria queries and native SQL
- PostgreSQL, Oracle, MySQL and other relational databases
- Flyway or Liquibase migrations, testing and observability
Where it fits
Companies use JPA for transactional back ends, customer portals, order management, finance systems and internal enterprise applications. It suits systems where a rich object model must stay aligned with a relational database. In Düsseldorf, specialists may support established industrial, logistics or business software teams through remote work or regular on-site collaboration.
When expertise matters
Freelance support is useful when a persistence layer is slow, difficult to change or producing inconsistent data. It can also help during a migration from older Java Persistence API implementations to Jakarta Persistence, a move to Spring Boot, or a redesign of service boundaries.
- Resolve N+1 queries, inefficient fetching and unexpected flushes
- Improve transaction handling and database performance
- Modernize mappings while protecting production data
What quality looks like
Experienced professionals understand both the Java domain model and the SQL executed underneath it. They inspect query plans, define clear transaction boundaries and test mappings against realistic data volumes. They communicate trade-offs around lazy loading, caching, concurrency and provider-specific behavior, rather than treating JPA as a black box.
Frequently asked questions
Curious about Jakarta Persistence (JPA)? Here are the answers that come up again and again.
Jakarta Persistence (JPA) is used to persist Java objects in relational databases through an object-relational mapping standard. It supports entities, relationships, queries and transactions in applications such as commerce, finance, logistics and enterprise operations.
Jakarta Persistence (JPA) is the current name of the specification formerly known as the Java Persistence API. The namespace changed from javax.persistence to jakarta.persistence, so migration work often includes dependency updates, imports, provider compatibility and configuration changes.
A strong Jakarta Persistence (JPA) specialist can explain when entity mapping reduces application code and when direct SQL offers better control. JDBC and SQL mappers expose queries more directly, while JPA is often preferred for domain-rich transactional systems with many related entities.
A capable JPA professional should also understand Java, relational database design, SQL and transaction management. Useful adjacent skills include Hibernate, Spring or Jakarta EE, database migrations, automated testing, query-plan analysis and API design.
The right Jakarta Persistence (JPA) specialist depends on the system’s complexity, not on a fixed time threshold. A small mapping task may need focused knowledge, while a large migration or performance issue calls for someone who has handled concurrency, legacy schemas, production incidents and provider-specific behavior.
Yes. Jakarta Persistence (JPA) work is well suited to remote collaboration when the team can share repository access, database environments, technical decisions and test results. For Düsseldorf-based companies, occasional on-site sessions can help with domain workshops, architecture reviews and coordination with German-speaking stakeholders.
Ask a JPA professional to explain a real mapping decision, the SQL it generates and the tests used to validate it. Look for clear reasoning about fetch plans, transaction boundaries, indexes, locking and failure behavior, rather than familiarity with annotations alone.
Bring in a Jakarta Persistence (JPA) expert when queries are slow, mappings are fragile, transactions behave unexpectedly or a Java application is moving to Jakarta namespaces. External expertise is also valuable when the team needs an independent review before a database migration or a major domain-model change.
The average hourly rate of freelancers in Dusseldorf, Germany who have used Jakarta Persistence (JPA) in their recent projects is 85 €, which corresponds to a daily rate of about 680 € 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 33% hold at least a Master's degree.
On average, freelancers in Dusseldorf, Germany who have used Jakarta Persistence (JPA) in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 1.5 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 (38%).
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 (63%), and Retail (50%).
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 Operations (63%).
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.
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Stuttgart Request a free demo
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Philipp Thomaschewski
FRATCH CEO
