Jakarta Persistence (JPA) Experts in Dusseldorf
in minutes with vetted specialists and the power of AI from over 15,000 CVs.Hire experts who map entities, tune JPQL and Criteria queries, and keep transaction handling clean across Spring-based and Java EE or Jakarta EE systems. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Dusseldorf, who have recently used Jakarta Persistence (JPA)
Marijn Scholtens
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
Marc Smyk
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 Taoussi
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 Kumari
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 Haefke
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
Sara Schönherr
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)
Position duration
1.1 years (Germany: 2.1 years)
Positions per freelancer
12 (Germany: 14)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
40% (Germany: 53%)
Certifications per freelancer
15 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (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 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.
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
What JPA covers
Jakarta Persistence, still widely searched as JPA and its former Java Persistence API name, is the standard way to handle object-relational mapping in Java systems. It is used to persist domain models, query relational data, and keep database access consistent across services and applications.
Typical project work
- Map entities, relationships, and inheritance models
- Write JPQL and Criteria API queries
- Tune lazy loading, fetch plans, and transactions
- Review repositories and persistence configuration
- Fix merge, flush, and lifecycle issues
Tooling and ecosystem
Strong JPA work usually sits inside a larger stack. Experts often work with Hibernate or EclipseLink, Spring Data JPA, Jakarta EE, Flyway or Liquibase, and relational databases such as PostgreSQL, Oracle, or MySQL.
The best specialists understand how these parts affect query shape, caching, schema evolution, and runtime behavior.
When companies bring in specialists
Companies call in freelance JPA expertise when a codebase is hard to change, queries have become slow, or persistence rules are spread across too many classes. It also helps when a team is moving from older Java EE code to Jakarta EE or cleaning up a monolith.
In Dusseldorf, this often fits enterprise systems, logistics software, insurance applications, and internal business platforms that rely on stable relational data handling.
What strong experts do
A strong professional does more than write annotations. They check entity design, keep mappings readable, avoid accidental N+1 problems, and make sure transactions match the business process.
They also work well with other specialists across backend, database, and testing tasks, so the persistence layer stays maintainable.
Signs you need help
- The data layer is hard to debug or extend
- Queries are duplicated or difficult to read
- Performance drops after new features are added
- Migrations break persistence behavior
- The team needs a clean Jakarta EE or JPA review
Frequently asked questions
Curious about Jakarta Persistence (JPA)? Here are the answers that come up again and again.
Jakarta Persistence (JPA) is used to map Java objects to relational tables and to manage how data is read, written, and updated. It fits application layers that need consistent persistence rules, not ad hoc SQL scattered through the code. Teams often use it for business records, workflows, and domain-driven models.
JPA is a specification, while Hibernate is a common implementation of it. In practice, companies often ask for both because the specialist needs to know the JPA model and how Hibernate behaves in real projects. EclipseLink is another implementation you may see in Jakarta EE systems.
Jakarta Persistence expertise helps when entity mappings are complex, queries are hard to maintain, or persistence bugs keep appearing. It is also useful during modernization work, such as moving older Java EE code to Jakarta EE or cleaning up a large monolith. A freelancer can often review the model and remove the main bottlenecks quickly.
A good JPA specialist usually also knows SQL, database indexing, transaction handling, and a framework such as Spring Data JPA or Jakarta EE. Knowledge of Flyway or Liquibase is valuable when the work includes schema changes. Testing and profiling skills help when query behavior needs to be verified.
The right depth depends on the task. Simple entity mappings may only need a solid generalist, while performance tuning, inheritance models, and complex fetch plans need someone who has handled real production issues. For high-risk persistence work, ask for examples of similar database-heavy systems.
Yes, most Jakarta Persistence work can be done remotely because the work is largely code, database, and review driven. On-site time only matters when the team wants close workshop sessions, legacy system discovery, or fast coordination with nearby stakeholders in Dusseldorf. Clear access to the codebase and database setup matters more than location.
Look for clear entity design, readable queries, and a track record of preventing performance issues such as overfetching or repeated queries. A strong Java Persistence API specialist explains trade-offs, not just annotations. Good signs are clean repository structure, sensible transactions, and test coverage around persistence behavior.
JPA is one part of the wider Jakarta EE ecosystem. A freelancer may only need JPA for a Spring-based service, or may need broader Jakarta EE knowledge when the application uses containers, managed transactions, and other platform services. Hiring should match the actual stack, not just the label on the resume.
The average hourly rate of freelancers in Dusseldorf, Germany who have used Jakarta Persistence (JPA) in their recent projects is 81 €, which corresponds to a daily rate of about 650 € 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 40% 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 1.1 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 (29%).
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 (57%), and Retail (57%).
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 Business Intelligence (71%).
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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Frankfurt Request a free demo
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Philipp Thomaschewski
FRATCH CEO
