
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 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Switzerland 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 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 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 (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
Core purpose
Jakarta Persistence, still widely searched as JPA and the former Java Persistence API, defines how Java code maps objects to relational data. It is used to build persistence layers for business systems that need stable data access, clear transaction handling, and readable domain models.
Typical work
- Entity mapping and relationship design
- JPQL and Criteria API queries
- Transaction boundaries and flush behavior
- Repository and DAO layer cleanup
- Migration from legacy JPA setups
Ecosystem
Strong specialists know Hibernate, EclipseLink, and the Jakarta EE stack around it. They also work with Spring Data JPA, JDBC, database indexes, and schema migration tools when the persistence layer needs to fit into a larger Java service architecture.
When to hire
Companies bring in freelance expertise when a data layer becomes hard to change, queries get slow, or object mapping starts to leak into business code. In Switzerland, this often matters for teams that keep Java systems running across finance, insurance, industry, and internal business software.
What good looks like
A strong professional keeps mappings simple, avoids overfetching, and understands when to use lazy loading, joins, or projection queries. They write code that is easy to test, explain trade-offs clearly, and spot persistence bugs before they reach production.
Delivery focus
A good JPA assignment should leave behind working entities, stable repository code, and query patterns the team can maintain. It should also document cascade rules, transaction choices, and any vendor-specific behavior so future changes do not break the model.
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 tables in a relational database. It helps teams keep persistence code structured instead of scattering SQL across the application. In practice, it supports entity models, queries, transactions, and repository-style data access.
JPA reduces repetitive database code and gives you a higher-level model built around entities and relationships. JDBC is still useful when you need very direct SQL control, but it usually asks for more boilerplate. Many teams use both: JPA for the main domain layer and JDBC for special cases.
Jakarta Persistence is the specification; Hibernate and EclipseLink are common implementations. If a project already uses Spring Boot, Hibernate is often the default choice, while EclipseLink can fit specific Jakarta EE setups. The right freelancer should know the spec and the provider-specific behavior that affects queries, caching, and mappings.
A strong JPA specialist usually understands SQL, database indexing, transaction management, and Java frameworks such as Spring Data JPA. They should also be comfortable with schema migration tools and basic performance tuning. That mix matters because persistence issues often sit between code and database design.
A good Jakarta Persistence assignment needs clear access to the domain model, database schema, and the current query hotspots. If the codebase is large, the specialist also needs to know where data access is already abstracted and where legacy code still bypasses the model. With that context, they can make changes without breaking related services.
Yes, JPA work is often remote-friendly because most tasks are code, schema, and query focused. For teams in Switzerland, the main need is usually clear communication around business rules, database changes, and review cycles. On-site time can help during system discovery, but it is rarely required for the full assignment.
A strong Java Persistence API expert keeps entity mappings simple, uses fetch strategies with intent, and avoids hidden database calls. Good signs include clean tests, understandable query code, and clear explanations for cascade rules and transaction scope. Weak work often shows up as fragile lazy-loading behavior or hard-to-maintain repository layers.
Teams often ask for JPA support when queries are slow, relationships are mapped incorrectly, or a service has grown around fragile persistence code. The same applies during migrations from older Java persistence setups or when moving toward cleaner Spring Data JPA usage. A freelancer can help untangle the layer and leave it easier to maintain.
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 916 € 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:
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