Spring Data JPA Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Spring Data JPA
Fred Hauschel
Last position:
Software Architect and Developer at Personal project
A recurring problem in my own AI-supported projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but they remain hard to trace and scattered across Markdown files – knowledge is lost as soon as it is no longer in the context window. arknet turns requirements engineering and architecture knowledge into structured, verifiable data instead of plain text: requirements, use cases, and architecture decisions as a continuously linked knowledge graph, traceable from the requirement to the architecture decision – queryable for both people and AI agents alike. Technically based on RDF/OWL and its own MCP server.
Result: MCP daemon running, Docker image automatically published on GHCR, nine hexagonal modules, eleven ADRs (including an open-core licensing model). Requirements engineering and ubiquitous language hexagon active. Publicly available since 07/2026 as a Community Edition under Apache-2.0 (github.com/kogn-io/arknet), together with the Claude Code plugin and the GHCR image; open-core model.
Label: Java, Maven, RDF, RDF4J, OWL, SPARQL, Model Context Protocol, Spring AI, Docker, GitHub, Git, Claude Code, Obsidian, DDD, Hexagonal Architecture, ArchUnit, JUnit, AssertJ
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
Kyu-Wang Lee
Last position:
Software Architect & Lead Software Engineer at Landesamt für Steuern Niedersachsen
The goal of BIENE is to provide a uniform program for tax collection for all states.
In tax collection, the aim is to collect the assessed taxes. This includes handling due dates, documenting incoming and outgoing payments, triggering reminders or refunds. Statute of limitations and payment reminders also play an important role. All payment transactions with banks and accounting are mapped in BIENE.
Setting up the architecture and coordinating the provisioning of development and test environments at the Hanover location
Installing and configuring environments on Linux servers (Apache Kafka, PostgreSQL)
Interface tasks: coordinating and aligning the integration of software products from other departments and their test data
Upgrading application server, JDK, Maven project structure
Environment coordination and build management
Implementing external interfaces
Implementing business requirements
Designing and implementing RESTful APIs and OpenAPI specifications
Designing and implementing microservice architecture
Setting up and maintaining CI/CD pipelines
Deploying applications on OpenShift
Creating technical documentation and diagrams
Working with SQL databases (Oracle and PostgreSQL)
Setting up authentication and authorization for the application and users
Containerizing the application (automated deployment via CI/CD pipeline)
Stefan Amann
Last position:
Sole Architect and Developer at Bauernhof-Eis Stangl GbR
Design and implementation of a compact ERP, CRM, accounting, and production-planning platform for a German food manufacturer. The system replaces Rechnung11, self-built Excel sheets, and manual processes for fewer than 10 internal users.
- Designed and implemented the full platform architecture as sole architect and developer.
- Built modules for customer management, B2B order handling, invoicing, production planning, and accounting support.
- Implemented DATEV export, ZUGFeRD/XRechnung e-invoicing, FinTS bank statement synchronization, and GoBD audit trail concepts.
- Used AI-supported workflows for prototyping, test support, and implementation acceleration while retaining full architecture, review, testing strategy, and technical ownership.
Technology: Java 23, Spring Boot 3, Spring Data JPA, Spring Security, Vue 3, TypeScript, PostgreSQL, Flyway, REST, OpenAPI, JWT, TOTP, RBAC, DATEV, FinTS, ZUGFeRD, XRechnung, GoBD, JUnit, Mockito, Testcontainers, Playwright, Docker, GitLab CI/CD
Uday Vanaparthy
Last position:
Full Stack JAVA Developer & DevOps Engineer at Deutsche Börse (DBAG)
Project: SCS (Settlement / Clearing Services)
Settlement platform serving multiple trading and clearing venues — counterparty risk safeguarding, settlement volume reduction, central risk management, and post-trade anonymity.
Technologies: Java 17, Spring Boot 3, Microservices, Spring Data JPA, SonarQube, Fortify (SCST), Mockito, Jenkins, OpenShift, Maven, Podman, GitHub, JIRA, Liquibase, Swagger, AMQP, Apache Camel, Terraform, PostgreSQL, Instana, Graylog.
- Identified and remediated CVEs in third-party libraries using SCA tooling, strengthening the security posture of production components.
- Maintained 90% code coverage with SonarQube, improving code quality and reducing production defects.
- Built and customized Helm charts and values.yaml configurations across 3 environments (ACT, SIMU, PROD), increasing deployment flexibility and consistency.
- Enabled mTLS for database authentication and message broker connections, enforcing encrypted, certificate-validated communication.
- Designed and deployed microservices with asynchronous, REST-based communication between components.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Used Podman and OpenShift for container orchestration and Liquibase for database version control.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Managed application images, JAR versions, and dependencies via DBAG Artifactory Repository Manager.
Faruk Sadriu
Last position:
Software Developer at HR Solutions GmbH
- Designing and developing a web application for the public sector
- Setting up and executing software tests, mainly unit tests
- Technical design and implementation of requirements
- Uploading and displaying CSV files
- Communicating with business units regarding development and test support
- Technologies used: Java, Spring Boot, Spring Security, Spring Batch, Spring Cloud, Spring Data JPA and Hibernate, RESTful, JSON, React, Oracle, JUnit, Mockito, CI/CD, GitLab, Docker, Keycloak, Liquibase, BIRT, Swagger, Microservices
Jonas Dittrich
Last position:
CEO at softwarebees GmbH
Muthukumar Kusalavan
Last position:
Senior Java Backend Developer at Upwork
- Developed Java 21 / Spring Boot 3.2 microservices with REST and GraphQL APIs for GDPR-compliant consent workflows using Hexagonal Architecture
- Enhanced Backend-for-Frontend (BFF) performance using AI-assisted tools for code refactoring and optimization
- Built event-driven workflows with Kafka, RabbitMQ, AWS SQS, and integrated Salesforce Marketing Cloud for real-time consent tracking
- Implemented OAuth2 and Keycloak security, automated CI/CD with Jenkins, GitHub Actions, and Gradle, and deployed containerized services on Docker and Kubernetes with AWS and Azure
- Executed unit, integration, and contract testing with JUnit 5, TestNG, Mockito, and TestContainers; monitored performance via Grafana, Kibana, and AWS CloudWatch
- Developed microservices for digital identity verification and e-signature management with Hexagonal Architecture
- Integrated Keycloak 24.x with OAuth2.1 and OpenID Connect for SSO and RBAC, ensuring EU eIDAS compliance
- Designed API-first microservices with OpenAPI 3.1, Swagger, and GraphQL for improved interoperability
- Automated CI/CD pipelines with Jenkins, GitHub Actions, and Gradle; deployed containerized services on AWS EKS and Azure; monitored with Grafana, Kibana, CloudWatch, and TestContainers
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.
Orhan Keskin
Last position:
kv.digital GmbH
- Backend development work for appointment and doctor services, including the implementation of various requirements for managing doctor appointments.
- SCRUM/Kanban
- Java 21
- IntelliJ Idea
- SpringBoot (MVC, Data JPA, …)
- GIT
- Confluence
- JIRA
- Maven
- CI: Jenkins
- Docker
- ActiveMQ
- MariaDB
- Solr
- Liquibase
- Testcontainer
- JUnit5
- Mockito
Abdullah Alrefai
Last position:
Senior Software Engineer at FABBricate IT Solutions GmbH
- Provide end-to-end software and architecture support to clients across finance, manufacturing, energy, and insurance sectors
- Collaborate with customers to understand complex business requirements and deliver scalable, future-proof solutions
- Design, implement, operate, and continuously improve software systems using modern technologies and cloud platforms
- Support the full solution lifecycle – from technical conception, system architecture, and development to deployment and operational readiness
- Act as a trusted technical advisor, bridging business and engineering teams to deliver high-impact solutions
- Lead architectural decisions with a focus on maintainability, cost-efficiency, security, and scalability across both cloud-native and on-premises environments
Gulam Noxboundy
Last position:
Full-Stack Developer at .Attendo
Developed Skalman’s Food & Sleep Clock web app with a digital assistant that reminds users about medication intake, meals, movement breaks, and other daily routines.
Implemented personalized meal suggestions and simple recipes with support for allergies and special diets, integrating AI to generate tailored meal ideas.
Built Flight Booking App using React and Axios for the front end, Spring Boot with JPA and MySQL for the back end, and implemented user authentication, form validation, and booking logic.
Designed and built a chatbot that accepts natural language queries and generates intelligent responses using OpenAI’s language model.
Developed MarketPlace_AP with React and Axios on the front end, Spring Boot with JPA and MySQL on the back end, enabling users to discover services or products, with authentication and form validation.
Created a Meeting Calendar page allowing users to schedule, view, and manage meetings using React, Axios, Spring Boot, JPA, MySQL, and authentication with validation.
Created a Todo List Manager: built a REST API with Node.js, Express, and MongoDB; developed a React front end featuring status toggling and filtering; deployed on Heroku and integrated with GitHub for CI/CD.
Discover over 15,000 top freelancers
Statistics of experts using Spring Data JPA
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
1.4 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Energy, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
86%
Master's degree or higher
43%
Doctorate
14%
Certifications per freelancer
2
Most common languages
English, German, Arabic
Speak two or more languages
92%
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 Germany 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 Germany using Spring Data 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 it covers
Spring Data JPA is the Spring Data module for working with JPA in Java applications. It reduces repetitive persistence code and gives teams a consistent way to query, save, and update domain data through repositories.
Typical use cases
- Repository-based access to relational databases
- Domain models with JPA entities and associations
- Query methods, custom queries, and projections
- Spring Boot services that need clean persistence layers
Ecosystem fit
It sits close to Spring Boot, Hibernate, Jakarta Persistence, and relational databases such as PostgreSQL, MySQL, and Oracle. Strong specialists know when to use derived queries, JPQL, native SQL, and transaction boundaries without making the code hard to maintain.
When companies need help
Companies bring in freelance expertise when the persistence layer becomes slow, inconsistent, or difficult to extend. That often happens during new service builds, legacy refactors, database migrations, or when a Spring Boot project needs cleaner data access patterns.
What strong specialists do
Strong Spring Data JPA specialists write repository code that is predictable and testable. They understand entity state, lazy loading, fetch plans, pagination, auditing, and transaction handling. They also spot performance issues early, especially around joins and query volume.
Germany collaboration
In Germany, Spring Data JPA work often sits inside larger Java and Spring environments for enterprise software, internal tools, and regulated systems. Many projects work well remotely, but some teams still prefer on-site or hybrid collaboration for architecture reviews, data access decisions, and close work with German-speaking stakeholders.
Frequently asked questions
Quick answers to the questions that come up most around Spring Data JPA.
Spring Data JPA is used to simplify database access in Spring-based Java applications. It lets specialists define repositories for entities, queries, and transactions without writing the same persistence code over and over. Teams use it for business applications, internal systems, and services that need reliable relational data access.
Spring Data JPA builds on JPA and usually uses Hibernate underneath, but it adds a higher-level repository model. Compared with plain JPA, it reduces boilerplate and speeds up common CRUD and query work. If a project needs very custom persistence control, a specialist may still mix in native JPA or Hibernate features.
A strong Spring Data JPA specialist should know JPA mappings, transaction management, and Spring Boot integration. Good Java, SQL, and database design skills matter as well, because repository code depends on clean schema and query decisions. Testing, debugging lazy loading issues, and reading execution plans are also important.
Companies usually need Spring Data JPA help when the data layer slows down delivery or causes bugs. Common triggers are a legacy refactor, a migration to Spring Boot, complex query work, or entity models that are difficult to maintain. Outside experts can also help when an internal team needs a second set of eyes on performance and design.
Yes, Spring Data JPA work is often a good fit for remote collaboration from Germany and across borders. Most tasks are code, review, and design focused, so location matters less than access to the codebase and the team. On-site time can still help when the project needs close alignment on domain language or data rules.
Ask how the Spring Data JPA specialist handles repository design, performance tuning, and transaction boundaries. It also helps to ask about their approach to testing, query optimization, and handling large entity graphs. Clear answers should show both Spring knowledge and practical database judgment.
Spring Data JPA is commonly used inside Spring Boot applications because Boot makes configuration and setup faster. The combination is popular for service layers that need fast delivery and clean data access. A specialist should know how Boot auto-configuration affects repositories, entity scanning, and database setup.
A weak Spring Data JPA setup often has oversized entities, unclear repository boundaries, and queries that are hard to read. You may also see performance problems from lazy loading, repeated joins, or transaction misuse. Good specialists make the data layer simpler, not more complicated.
The average hourly rate of freelancers in Germany who have used Spring Data JPA in their recent projects is 79 €, which corresponds to a daily rate of about 633 € based on an 8-hour working day.
Of the freelancers in Germany who have used Spring Data JPA in their recent projects, 86% hold at least a Bachelor's degree, 43% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Germany who have used Spring Data JPA in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Germany who have used Spring Data JPA in their recent projects are English (100%), German (92%), and Arabic (8%).
The most common industries among freelancers in Germany who have used Spring Data JPA in their recent projects are Information Technology (100%), Energy (50%), and Banking and Finance (42%).
The most common business areas among freelancers in Germany who have used Spring Data JPA in their recent projects are Information Technology (100%), Product Development (92%), and Operations (67%).
Main locations of FRATCH Experts, who have recently used Spring Data 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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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