Jakarta Persistence (JPA) Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Jakarta Persistence (JPA)
Bojan A.
Last position:
Full Stack Developer with Angular at Further Education
- Highest level achieved: Certified Mid-Level Angular Developer
- 13 technologies newly learned or refreshed with (re-)certifications
- Current: Docker, Azure, Quarkus
Ahmed R.
Last position:
AI & Automation Engineer at Teosek GmbH
- Build prototypes, expand AI skills, and practical application in a startup context.
- Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
- Technologies: LangChain, REST, Python, Java, JS, TS, Node.
Christoph W.
Last position:
System Architect / System Engineer / Programmer at Deutsche Vermögensberatung (DVAG)
- Create requirements for the modularization of the promotion forecast.
- Set up and expand the various competitions for 2024.
- Customize and test the CICS dialog.
- Create various reports for the department using SQL.
- Implement and test new requirements in batch processes with IWS.
- Update documentation for the new requirements.
- Provide on-call support for daily and monthly production.
- Technologies used: SCRUM, Jira, Confluence, Windows 11, Unix, Enterprise Developer, z/OS, GIT, Mineral, Moped, IWS/TWS, JES, COBOL, CICS, DB2, SQL, Rocket, FortiClient, Citrix.
Ferran S.
Last position:
Senior Software Engineer at Personal time off / Private projects
- Took on and completed private/organizational projects.
- Continued self-training, e.g., in cloud and reactive architectures.
- Focused deepening of knowledge in areas like Kafka and modern Java 17 enterprise architectures.
Milica M.
Last position:
Full-Stack Developer at Holycode
- Contribute to a cross-functional team building a cloud-based bookkeeping platform for SMEs
- Design and implement Java Spring Boot microservices with clear separation of concerns
- Integrate core services via REST and gRPC APIs
- Implement event-driven workflows using RabbitMQ for reliable, decoupled messaging
- Model and manage transactional data in PostgreSQL and leverage Redis for caching
Mateusz L.
Last position:
Project Lead Developer at PwC
- Took over the analyst and leading developer role in an innovative project helping detection of financial fraud in a major financial institution in Zurich with assistance of artificial intelligence
- Analyzed and implemented new modules, improved performance and user experience, elevated technical documentation and code quality to the standard required by the end client
- Technologies: Java 17, JavaFX, Spring Boot, concurrency, UX, Gradle, Impala
Martin G.
Last position:
IT Project Manager ALV-eGOV, Deputy Head, Group Leader, Business Analyst, Requirements Engineer at SECO
- Planning, implementation, and rollout of 7 eGov services for companies and job seekers for the Unemployment Insurance Fund (ALV)
Discover over 15,000 top freelancers
Statistics of experts using Jakarta Persistence (JPA)
Aggregated from the professional profiles of matched freelancers.
Experience
25 years
Position duration
1.9 years
Positions per freelancer
16
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Government and Administration
Certification focus areas
Information Technology, Project Management, Quality Assurance
Bachelor's degree or higher
100%
Master's degree or higher
100%
Certifications per freelancer
5
Most common languages
English, German, French
Speak two or more languages
100%
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 Switzerland 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 Switzerland 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 (86%)
- Government and Administration (86%)
- Insurance (71%)
- Healthcare (57%)
- Transportation (43%)
- Manufacturing (43%)
- Retail (43%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Jakarta Persistence Does
Jakarta Persistence, commonly known as JPA, is the standard API for mapping Java objects to relational database tables. It lets application teams work with entities, relationships and transactions through a consistent programming model instead of writing every database operation by hand. JPA is a specification; implementations such as Hibernate and EclipseLink provide the runtime behavior.
Where It Is Used
JPA appears in business applications that need durable, relational data and clear domain models. Typical deliverables include:
- Entity and relationship mappings for customer, order and billing domains
- Repository and transaction layers for Spring or Jakarta EE services
- Data access modules for monolithic and modular applications
- Migration of older Java persistence code to Jakarta namespaces
It supports systems in finance, manufacturing, healthcare, logistics and public services, including applications operated by Swiss organizations.
Ecosystem And Tooling
Strong JPA specialists understand the surrounding Java ecosystem, not only annotations. They work with Hibernate ORM, EclipseLink, Spring Data JPA, Jakarta EE, Spring Boot, Maven or Gradle, and relational databases such as PostgreSQL, MariaDB and Oracle. They also use schema migration tools, automated tests, SQL logging and database monitoring to validate persistence behavior.
When Companies Need Help
Companies often bring in freelance expertise when a domain model is changing, queries are slow or a legacy Java application is moving to a modern Jakarta stack. A specialist can review mappings, resolve transaction errors, reduce inefficient fetches and define a safe migration path. This is valuable when internal teams need focused support without pausing product delivery.
Signs Of Strong Expertise
Look for professionals who can explain the SQL produced by their mappings and connect database behavior with application design. Useful evidence includes:
- Careful handling of lazy loading, cascading and orphan removal
- Practical command of persistence contexts and transaction boundaries
- Query tuning with JPQL, Criteria API, native SQL and indexes
- Tests that cover concurrency, rollback and database migrations
They should also communicate trade-offs clearly to product, infrastructure and data teams.
Working With Swiss Teams
Jakarta Persistence projects can be handled remotely when requirements, database access and deployment practices are documented. On-site collaboration may help during complex domain workshops, production investigations or regulated delivery work. For teams in Switzerland, agree early on working language, meeting cadence, time-zone overlap and access controls. The right specialist should fit both the technical environment and the way the team makes decisions.
Frequently asked questions
Quick answers to the questions that come up most around Jakarta Persistence (JPA).
Jakarta Persistence (JPA) is used to map Java objects to relational database records and manage loading, updates and transactions. It is common in business services built with Spring Boot or Jakarta EE, especially where domain relationships and consistent data handling matter.
JPA offers an object-oriented persistence model with entity mappings, relationships and transaction management. Direct SQL can provide tighter control and predictable query behavior, while JPA can reduce repetitive data-access code; many production systems use both approaches where each is appropriate.
Hibernate is a widely used implementation of the Jakarta Persistence specification, not the specification itself. JPA defines the standard API and behavior, while Hibernate supplies the runtime and adds features beyond the standard.
Jakarta Persistence (JPA) work benefits from strong Java, SQL and relational database knowledge. Relevant adjacent skills include Spring Data JPA, Jakarta EE, REST services, database migrations, indexing, testing and observability of query performance.
JPA quality is visible in clear entity boundaries, deliberate fetch strategies and transaction handling that matches business rules. Ask the specialist to explain generated SQL, indexing decisions, migration safety and how tests expose lazy-loading or concurrency problems.
Jakarta Persistence (JPA) requires deeper expertise when the domain has complex relationships, high write volume, legacy schemas or strict transaction requirements. A specialist should be able to profile queries, avoid excessive entity loading and choose between JPQL, native SQL and other data-access patterns.
JPA projects are often suitable for remote collaboration when repository access, database environments and delivery standards are well defined. Swiss teams should also clarify language expectations, data-access controls and availability for workshops or production incidents.
Jakarta Persistence (JPA) specialists should understand the project's Java version, framework, implementation, database engine and migration history before changing mappings. They should also confirm transaction boundaries, deployment practices, test data access and whether the codebase uses the older javax.persistence namespace or the current jakarta.persistence namespace.
The average hourly rate of freelancers in Switzerland who have used Jakarta Persistence (JPA) in their recent projects is 114 €, which corresponds to a daily rate of about 914 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Jakarta Persistence (JPA) in their recent projects, 100% hold at least a Bachelor's degree and 100% hold at least a Master's degree.
On average, freelancers in Switzerland who have used Jakarta Persistence (JPA) in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Switzerland who have used Jakarta Persistence (JPA) in their recent projects are English (100%), German (86%), and French (71%).
The most common industries among freelancers in Switzerland who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Banking and Finance (86%), and Government and Administration (86%).
The most common business areas among freelancers in Switzerland who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Product Development (86%), 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.
Countries:
Zurich Geneva Basel Bern Request a free demo
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