
Spring Data Experts in Germany
, matched in minutes by AIHire experts who design repository layers, integrate relational and NoSQL databases, and tune Spring Data JPA for production systems. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Spring Data
Ornel Franck W.
Last position:
Sales Partner at ERGO PRO
- Industry: Insurance, Trade, IT
- Customers & Projects: Consulting and selling insurance and similar services
- Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
- Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports
Fred H.
Last position:
Software Architect and Developer at Personal project
Recurring problem in my own AI-assisted projects: requirements analysis, use cases, and architecture decisions can be created quickly with AI support, but remain difficult to follow 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 form a consistently linked knowledge graph, traceable from requirement to architecture decision – queryable by both people and AI agents. Technically based on RDF/OWL and a custom MCP server.
Result: Working MCP daemon, Docker image published automatically to GHCR, nine hexagonal modules, eleven ADRs (including an Open-Core licensing model). Requirements engineering and Ubiquitous Language hexagons are active. Public as a Community Edition under Apache-2.0 since 07/2026 (github.com/kogn-io/arknet), together with the Claude Code plugin and 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, Interface Development, Software Architecture, Continuous Integration, Knowledge Management
Osman T.
Last position:
Senior Architect, DevOps Engineer at genPsoft GmbH
IT consulting, analysis, architecture design, new and further development, code review, test automation, continuous integration, continuous delivery in backend and frontend areas for Automotive Project Instavalo.
Frontend:
- Implementation of UI components according to specifications, especially style guides and responsive design eith React and Typescript
- Component testing
- Code documentation
- CI/CD with Gitlab Pipeline
Backend / IoT:
- Analysis and architectural design with AWS Greengrass IoT on Edge Devices
- Setting up Microservices containers with Docker Compose on Edge device with AWS Greengrass and AWS IoT IAM, Token Exchange Service, Ansible
- CI/CD with Gitlab Pipeline, Terraform, AWS ECR
- Logging with Fluentbit Lua Language for AWS Cloudwatch
- Python Lambda for AWS Greengrass Recipe deployment on Edge Devices
- Implementation of test-driven development with JUnit, Mockito, and code Coverage
- Jacoco
- Definition of REST interfaces with OpenAPI / Swagger
- Development and enhancement of software based on Java Quarkus, Typescript NestJs NodeJs and Python
- Authentication and authorization in Aws IAM
- Development of REST and gRPC interfaces for the frontend and backend
- Implementation of Maven dependencies with DevSecOps OWASP
- Spring AI, Jetbrains AI Assistant, Junie, Github Copilot, Claude Code, Agents, Skills, Command, Hooks, Subagents
Stefan A.
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
Rüdiger S.
Last position:
Full-Stack Software Engineer / Consultant for Digitalization at ARTEVENT
Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.
Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.
Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.
Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.
Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.
Stephan G.
Last position:
Senior Backend Software Developer at Mercedes-Benz Tech Innovations
- Further development and operation of a central backend service for providing vehicle inventory for international Mercedes-Benz online shops
- Further development of a reservation service for vehicles as part of the checkout process
- Design and implementation of a highly scalable end-to-end test architecture with a focus on maintainability, reusability, and a high number of automated test cases
- Development of a multi-layer test infrastructure with a strict separation of test logic and access layers
- Development of an initialization and caching architecture to significantly speed up local and CI/CD-based test runs
- Development of an AI-supported review architecture for automated evaluation and quality assurance of end-to-end tests
- Development of a dashboard for consolidated display of a vehicle context across multiple backend systems, including AI-generated summaries and compact case analyses
- Integration and further development of connections to various reservation systems via Apache Kafka and REST
- Design of new microservices and support with architecture decisions
- Risk analysis and design of microservice migrations
- Technologies: Java, Spring, Spring Boot, Gradle, Maven, Apache Kafka, REST, OpenAPI, Swagger, Github, Confluence, CI/CD, Microservices, AI, LLMs
Wadim L.
Last position:
Fullstack Developer at dripwear.app
Development of an iOS app for virtual try-on and outfit suggestions
The goal of the project is to develop a mobile application for personalized, photorealistic outfit suggestions. Users should be able to upload their own photos, try on clothes virtually, and find products that can be bought directly in the generated suggestions.
- Planning and implementation of the onboarding and photo upload in the iOS app
- Development of the mobile application with Expo and React Native
- Implementation of a Hono/Node.js backend for user, product, and generation processes
- Building an asynchronous processing pipeline with BullMQ and Redis
- Connection of PostgreSQL/pgvector and S3 for product, image, and generation data
- Integration of Gemini and OpenAI for outfit generation and image processing
- Implementation of a credit system and integration of RevenueCat
- Integration of Stripe Connect and affiliate product feeds for products that can be bought directly
Label: TypeScript, React Native, Expo, Hono, Node.js, PostgreSQL/pgvector, BullMQ, Redis, S3, Gemini, OpenAI, RevenueCat, Stripe Connect, Docker
Marc S.
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 L.
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)
Ali H.
Last position:
Senior Java Developer at Accenture
Client: UOB Bank
Projects: Web Server Management; Online Account Opening; Online Account Lending
Develop and support enterprise-grade backend services for banking/insurance workflows using Java 17 and Spring Boot.
Design REST APIs, platform integrations and backend services for customer onboarding, account workflows and lending journeys.
Modernize legacy services into scalable microservices while improving reliability, maintainability, CI/CD and production delivery.
Optimize PostgreSQL/MongoDB data access patterns and collaborate with Agile teams through reviews and technical guidance.
Environment: Java 17, Spring Boot, REST APIs, Microservices, PostgreSQL, MongoDB, Docker, Jenkins, GitLab, SonarQube, Agile
Anupriya P.
Last position:
Senior Software Engineer at Telefonica Germany
(Maternity/Parental Leave: July 2023 – Aug 2024)
- Domain: Payment Domain | Client: Telefonica Germany
- Project: General Payment Service
The General Payment Service is responsible for processing of online payments via external payment service provider like Safer pay and PayPal
- Developed Design of Use (DOU) and interface contract documentation, ensuring clarity and compliance across system integrations
- Designed and delivered REST/SOAP web services with Spring Boot and Spring Data JPA, publishing Swagger contracts through WSO2 API Gateway to improve accessibility and governance.
- Spearheaded the on-premises to AWS Cloud migration, re-platforming from Oracle to PostgreSQL on AWS RDS and deploying services on EC2, improving scalability and cost efficiency.
- Containerized microservices using Docker and orchestrated deployments with Kubernetes, streamlining deployment pipelines and improving system reliability.
- Implemented proactive monitoring and logging via AWS CloudWatch and Kibana, ensuring stability and performance during cutover.
- Enhanced collaboration through code reviews and peer reviews, promoting maintainability and clean coding standards.
- Strengthened quality by writing comprehensive JUnit tests and preparing detailed test cases enabling early defect detection
- Delivered automated API testing with Ready API, Postman, and SOAPUI, and conducted performance testing with JMeter, ensuring reliability in high-transaction environments.
Uday V.
Last position:
Senior 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.
- 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.
- Optimized a high-volume REST API (~200K requests) by reducing response time from 3s to 2s (33% improvement), boosting throughput and reliability under production load.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Orchestrated containerized workloads on Podman/OpenShift and governed schema evolution with Liquibase, ensuring reliable, repeatable deployments across all environments.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Streamlined release management by governing application images, JAR versions, and dependencies through DBAG Artifactory, ensuring version consistency and audit traceability across environments
Imran A.
Last position:
Software Engineer II at LivePerson Germany GmbH
- Led development of 15+ microservices (Java 17, Spring Boot) driving customer interactions; migrated from on-prem to GCP Kubernetes, improving scalability and reducing infra cost by 20%.
- Optimized user services with CouchDB caching and API refactoring, cutting response times by 35% and enhancing customer experience.
- Implemented canary deployments, FluxCD GitOps, and CI/CD optimizations in GitLab, reducing release lead time by 25% and enabling zero-downtime rollouts.
- Set up Grafana health checks and Anodot alerts for latency, error, and throughput monitoring, reducing MTTR by 40%.
- Built secure APIs using OAuth2, DPoP, and Gatekeeper, integrated REST and GraphQL, and achieved 90%+ test coverage with unit and E2E tests.
- Mentored junior developers, promoted Agile best practices, and collaborated cross-functionally to deliver high-impact, reliable customer-facing features.
Christof H.
Last position:
Senior Frontend Developer at HUK24 AG
- Designing new apps as well as enhancing and running 29 Angular apps for digital claims in an Nx monorepo
- Maintaining and improving a shared component library with ~300 libraries for multiple product teams
- Migrating all apps to a new design system including its component library and systematic refactoring
- Developing and maintaining the CI/CD pipelines (Jenkins, Azure DevOps, Terraform, AWS)
- Managing releases independently including branch handling, versioning, PR coordination and production deployment
- Implementing and maintaining tracking (Adobe Analytics)
- Ensuring accessibility according to BFSG/WCAG
- Test-driven development (TDD) with Jest and Cypress
- Code reviews, mentoring and setting up best practices in the team
- Technologies: TypeScript, Angular 16-20, RxJS, NgRx, Nx (Monorepo), npm, HTML, (S)CSS, Storybook, Jest, Cypress, Cucumber, Husky, Node.js, Git, AWS, Azure DevOps (Repos & Pipelines), Jenkins, Terraform, TDD, BFSG, WCAG, Nexus, IntelliJ, Adobe Analytics
Waldemar B.
Last position:
Software-Architekt Produktdaten-Management Tool at Ferchau Contract GmbH
- Definition of the software architecture
- Design and development of modules
- Supporting internal employees in the learning and onboarding process
- Tools: SAP CAP / CDS, Java 21, SAP Hana, SAP Business Technology Platform (BTP)
Discover over 15,000 top freelancers
Statistics of experts using Spring Data
Aggregated from the professional profiles of matched freelancers.
Experience
18 years

Position duration
2 years

Positions per freelancer
12

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Banking and Finance, Automotive

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
95%
Master's degree or higher
66%
Doctorate
13%

Certifications per freelancer
1

Most common languages
German, English, French

Speak two or more languages
96%
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 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
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.
Spring Data 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 (96%)
- Banking and Finance (61%)
- Automotive (42%)
- Insurance (42%)
- Government and Administration (39%)
- Retail (39%)
- Transportation (35%)
- Telecommunication (28%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Spring Data does
Spring Data is a family of Spring projects that simplifies access to databases and other data stores. It provides consistent repository patterns, query abstractions, and integration support while leaving teams free to work with relational, document, graph, key-value, and search systems. Spring Data JPA is the best-known module, but the wider ecosystem covers technologies such as MongoDB, Redis, Elasticsearch, Neo4j, and JDBC.
Core capabilities
Experts use Spring Data to create maintainable data access layers without repeating persistence code. They define repository interfaces, derive queries from method names, write JPQL or native queries where needed, and manage transactions through Spring infrastructure. Strong implementations also address entity mapping, pagination, auditing, locking, projections, and database migrations.
Modules and tooling
The right module depends on the data model and operational needs. Spring Data JPA works with Hibernate and relational databases, while Spring Data MongoDB supports document-oriented applications and Spring Data Redis handles caching and key-value access. Professionals also connect these modules with Spring Boot, Spring Security, validation, messaging, observability tools, Maven or Gradle, and automated tests.
Where companies use it
Spring Data appears in business systems that need dependable persistence and clear domain boundaries, from commerce and logistics to finance, manufacturing, and public services. Typical freelance assignments include:
- Designing repository and persistence architectures for new Spring applications
- Migrating legacy DAO layers to Spring Data repositories
- Integrating PostgreSQL, MySQL, MongoDB, Redis, or Elasticsearch
- Diagnosing slow queries, excessive database calls, and transaction defects
- Adding tests, auditing, pagination, and production-ready error handling
When outside expertise helps
Companies often bring in freelance specialists when a project is moving from prototype to production, replacing a legacy persistence layer, or introducing a second database model. Help is also valuable when teams face unclear transaction boundaries, inconsistent entity mappings, difficult migrations, or performance problems that application code alone does not explain. In Germany, remote collaboration is common, while on-site work can help with workshops, regulated environments, and complex system handovers.
What strong experts deliver
A capable Spring Data professional starts with the domain model, access patterns, consistency needs, and operational constraints rather than selecting a repository abstraction by habit. They understand the behavior beneath the API, including Hibernate fetching, flush timing, transaction propagation, indexes, isolation, and connection pools. They document trade-offs, test realistic query loads, and leave a codebase that other specialists can operate confidently. For teams in Germany, clear English is widely useful; German communication may matter for local stakeholders and on-site delivery.
Frequently asked questions
Everything clients usually want to know about Spring Data, in one place.
Spring Data is used to build consistent data access layers in Spring applications. It reduces repetitive persistence code and supports relational, document, graph, key-value, and search databases through specialized modules such as Spring Data JPA and Spring Data MongoDB.
Spring Data JPA provides repository interfaces, query derivation, and common persistence operations that teams would otherwise implement in DAO classes. Direct JPA or JDBC can offer more control, but repository abstractions usually improve consistency and speed when they fit the domain and query patterns.
Spring Data work benefits from knowledge of Spring Boot, Hibernate, SQL, database indexing, transaction management, and testing. Depending on the system, useful adjacent skills include MongoDB, Redis, Elasticsearch, messaging, Docker, cloud databases, and application observability.
Spring Data projects need a specialist who matches the system's risk and complexity, not simply someone familiar with repository interfaces. Production work involving migrations, high transaction volumes, multiple data stores, or difficult performance issues calls for proven experience with database behavior and Spring internals.
Spring Data work is often well suited to remote collaboration because design, coding, reviews, and testing can happen through shared repositories and development environments. On-site sessions may still help with architecture workshops, access-controlled systems, or handovers, and teams should agree on English or German communication needs early.
Spring Data may be a poor fit when an application needs highly specialized database behavior that the abstraction obscures or when a simple direct driver is easier to maintain. A careful specialist evaluates query complexity, latency targets, transaction requirements, and the team's operational knowledge before choosing the access approach.
Spring Data quality shows in clear mappings, intentional transaction boundaries, efficient queries, useful tests, and documentation of persistence decisions. Ask a freelancer to explain fetch behavior, indexing assumptions, migration safety, failure handling, and how they would investigate a slow production query.
Spring Data specialists should clarify the database engines, schema ownership, consistency expectations, existing Spring and Hibernate versions, deployment model, test data, and production monitoring. They should also confirm whether the assignment covers architecture, implementation, migration, performance tuning, or knowledge transfer.
The average hourly rate of freelancers in Germany who have used Spring Data in their recent projects is 93 €, which corresponds to a daily rate of about 746 € based on an 8-hour working day.
Of the freelancers in Germany who have used Spring Data in their recent projects, 95% hold at least a Bachelor's degree, 66% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Germany who have used Spring Data in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Germany who have used Spring Data in their recent projects are German (98%), English (95%), and French (12%).
The most common industries among freelancers in Germany who have used Spring Data in their recent projects are Information Technology (96%), Banking and Finance (61%), and Automotive (42%).
The most common business areas among freelancers in Germany who have used Spring Data in their recent projects are Information Technology (100%), Product Development (96%), and Quality Assurance (53%).
Main locations of FRATCH Experts, who have recently used Spring Data
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.
Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!

Munich