
Jakarta Persistence (JPA) Experts in Austria
matched in minutes by AIHire experts who model relational data, implement persistence with Hibernate and EclipseLink, and integrate JPA into Spring or Jakarta EE applications. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Austria, who have recently used Jakarta Persistence (JPA)
John A.
Last position:
Software Developer and DevOps Engineer at Bundesrechenzentrum (BRZ)
Refactoring and improving core APIs; implementing client change requests. Setting up metrics, traces, and logs monitoring infrastructure to support operations. Designing GitOps deployment and infrastructure as code. Applications and systems configuration in ArgoCD and Openshift. Confluence documentation of design, approach, and solution. Tech Stack: Java 8 & 21, Spring framework, JSP, JavaScript, Bash scripts, SQL, Grafana Stack, OpenTelemetry, Docker, DB2, Maven, Kubernetes Kompose.
Michail M.
Last position:
OpenShift / Kubernetes Consultant at cloudWerkstatt
Implementation and operation of OpenShift / Kubernetes solutions for customers, focusing on aspects such as storage, virtualization, security, logging, monitoring, and high availability. Support with application containerization and modernization.
Peter S.
Last position:
Lead Software Architect at Pritz IT GmbH
- Lead software architect in a greenfield MES project (Manufacturing Execution System / factory control system), responsible for architecture decisions, technology selection, and technical direction throughout the entire development lifecycle
- Designed and built the core framework from scratch, including several reusable Spring Boot starters (e.g., OPC-UA integration, messaging, security) that enable flexible composition of the individual system modules
- Introduced Keycloak as the central authentication and authorization system with SSO across all MES components
- Created and owns the full CI/CD pipeline covering Java, NPM and Docker – automating build, test, containerisation and deployment across all project components
- Set up the architecture documentation space in Confluence as the single source of truth for all architecture decisions, component designs, and integration patterns
- Defined and enforced naming conventions and coding standards to ensure consistency in the growing codebase
- Conducted regular code reviews for quality assurance, knowledge sharing, and adherence to architecture guidelines
- Created and maintained technology roadmaps to guide future development priorities and infrastructure investments
Jaroslav A.
Last position:
Child care, personal development and learning
Javid A.
Last position:
B2B Contract - Senior Fullstack developer (Java + Angular)
- Project: E-Platform with 100k users
- Skills: Java, Spring, Spring Boot
- TechStack: Angular 18, Java 17, Spring Boot, Oracle DB, Spring Data, JPA, Hibernate, Oracle, Postgres, SQL
Joseph W.
Last position:
Freelancer Cloud / Solution Architect (AWS) at A1 Bank
- I am responsible for providing solution architecture and technical assistance for a migration initiative aimed at transitioning to a new core banking system.
- The project involves replacing in-house development with a commercially available off-the-shelf core banking system operated as SaaS on AWS.
- Duties encompass solution design, technical coordination, supporting development teams, and providing IT support and troubleshooting.
- Managing over 10 global vendors and partners is crucial to project success.
- Technologies: VMWare ESXi, AWS, EKS Kubernetes, Mastercard Payment Transaction Service, Avaloq, A1 Telekom Austria infrastructure, CheckPoint FW, F5, Site-to-Site VPNs, PingID, Futurae SDK, Airlock, UC4/Automic, Firebase, iOS/Android lifecycle management, AWS IAM, AWS AppStream, AWS S3, AWS Transfer Family, QlikView, OpenAPI.
Attila D.
Last position:
Full-Stack Software Engineer at Research Data Evaluation
- Custom anonymized research data analyzer, providing insights and facilitating data-driven decision-making.
- Designed and developed back- and frontend.
- Delivered end-to-end solution.
- Accelerated research timeline by 2 months.
Aaron H.
Last position:
Career Break
- Big move, focus on DIY hobbies, small personal software projects.
Monji M.
Last position:
Senior Software Developer at AMA Wien
IT concept
Implementation
Estimation
Design
Installation
Oracle APEX applications for farmers in Austria to register their products and get subsidies.
Implement new applications or adapt existing applications according to customer requirements (CR)
Fix bugs
Update data in the database
Install applications
Technologies/methods used: Oracle DB, PL/SQL, DM, Oracle Apex, JavaScript, CSS, OpenLayers, GIT
Florian J.
Last position:
Senior Android Consultant at Bragi GmbH
- Working within a cross-functional team developing upgrades for in-app features
- Android app development since 2016
- App: Skull IQ & many more
Ăśsame T.
Last position:
Java Backend Developer at Porsche Informatik
- Java EE 8 development
- Java 21 and Spring Boot 3 microservices development
- Release management
- Onboarding of new team members
- Owner of an team-internal "Best Code Engineering Award"
Discover over 15,000 top freelancers
Statistics of experts using Jakarta Persistence (JPA)
Aggregated from the professional profiles of matched freelancers.
Experience
22 years

Position duration
2.9 years

Positions per freelancer
8

Top business areas
Information Technology, Product Development, Operations

Top industries
Information Technology, Insurance, Transportation

Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
70%
Master's degree or higher
50%

Certifications per freelancer
4

Most common languages
German, English, 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 Austria 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 Austria 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%)
- Insurance (73%)
- Transportation (45%)
- Government and Administration (45%)
- Telecommunication (45%)
- Automotive (18%)
- Education (18%)
- Healthcare (18%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Persistence with Java
Jakarta Persistence (JPA) is the standard Java specification for mapping application objects to relational database tables. It defines entities, relationships, queries, transactions and persistence contexts, so business code can work with domain objects while the persistence layer handles database interaction. JPA is widely used in enterprise applications, APIs and transactional business systems.
Core Mapping Work
Experts use annotations or XML to map entities, identifiers, embedded values and inheritance structures. They design one-to-one, one-to-many and many-to-many relationships, manage cascading and fetching, and write JPQL or Criteria queries. Careful mapping keeps the object model clear without hiding important database behavior.
- Entity and relationship modelling
- JPQL, Criteria API and native SQL queries
- Transaction and persistence-context design
- Schema migration and data-access testing
Ecosystem and Tooling
Hibernate is the most common JPA implementation, while EclipseLink is another established option. JPA commonly runs with Jakarta EE, Spring Data JPA, JDBC connection pools and database migration tools such as Flyway or Liquibase. Strong specialists also understand SQL, indexing, locking, caching, Maven or Gradle, and application observability.
When Expertise Matters
Companies bring in freelance expertise when a persistence layer is slow, difficult to change or producing inconsistent data. Specialists help modernise applications moving from Java EE to Jakarta EE, replace fragile data-access code, tune queries, resolve transaction issues or prepare a system for higher workload. In Austria, they can support local teams remotely or work on site when architecture workshops and close delivery collaboration require it.
- Slow queries or unexpected database load
- Difficult entity relationships and update anomalies
- Migration from older Java EE APIs
- Unclear transaction boundaries
Quality Signals
A strong professional treats JPA as part of a database system, not as a substitute for SQL knowledge. They inspect generated SQL, understand lazy loading and the N+1 query problem, choose transaction boundaries deliberately and test behavior against a real relational database. They also document mapping decisions and explain trade-offs clearly to application and data teams.
Choosing a Specialist
Match the specialist to the application’s runtime, database, delivery stage and risk profile. Ask for examples involving comparable entity complexity, query performance, migrations or production incidents, rather than checking only framework familiarity. Remote collaboration can work well when requirements, database access and review practices are clear; German or English language ability should match the Austrian team and stakeholders.
A practical assessment may cover a small domain model, a transaction scenario and a slow query diagnosis. The best fit can explain why a mapping, fetch strategy or locking approach is appropriate, and when direct SQL or a different persistence pattern would be safer.
Frequently asked questions
Everything clients usually want to know about Jakarta Persistence (JPA), in one place.
Jakarta Persistence (JPA) is used to persist Java objects in relational databases and to manage entities, relationships, queries and transactions. It is common in enterprise applications, web services and systems where business data must remain consistent across requests.
JPA provides object-relational mapping, entity state management and a higher-level query model, while JDBC gives direct control over SQL and result handling. JPA can reduce repetitive data-access code, but JDBC or native SQL may be preferable for highly specialised queries and reporting workloads.
Jakarta Persistence work benefits from strong SQL and relational database knowledge. Useful adjacent skills include Hibernate, Spring Data JPA, Jakarta EE, REST APIs, transaction management, Flyway or Liquibase, automated testing and performance monitoring.
JPA projects need a specialist who has handled the relevant domain complexity, database behavior and production risks. A simple service may need focused mapping and query skills, while a regulated or highly transactional system calls for experience with locking, migrations, auditing and performance diagnosis.
Jakarta Persistence (JPA) work is often suitable for remote collaboration because code, tests and database plans can be reviewed online. Clear access controls, reproducible environments and regular design sessions matter, while German or English communication should fit the team and stakeholders in Austria.
JPA may be a poor fit when an application is dominated by complex analytical SQL, vendor-specific database features or very strict control over every statement. In those cases, direct SQL, JDBC or a hybrid approach can provide clearer behavior and better control.
JPA quality shows in predictable SQL, clear transaction boundaries, efficient fetching and tests that use a real relational database. Ask the specialist to explain entity ownership, cascade choices, indexing assumptions and how they would detect N+1 queries or stale updates.
Jakarta Persistence specialists should clarify the Java and runtime versions, JPA implementation, database engine, migration process, transaction model and deployment environment. They should also confirm whether the work involves new mappings, a migration from Java EE, performance tuning or support for an existing production system.
The average hourly rate of freelancers in Austria who have used Jakarta Persistence (JPA) in their recent projects is 91 €, which corresponds to a daily rate of about 732 € based on an 8-hour working day.
Of the freelancers in Austria who have used Jakarta Persistence (JPA) in their recent projects, 70% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Austria who have used Jakarta Persistence (JPA) in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.9 years.
The most common languages among freelancers in Austria who have used Jakarta Persistence (JPA) in their recent projects are German (100%), English (100%), and French (18%).
The most common industries among freelancers in Austria who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Insurance (73%), and Transportation (45%).
The most common business areas among freelancers in Austria who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Product Development (100%), and Operations (45%).
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:
- Germany
- Austria
- Switzerland
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