
Spring Data Experts in Germany
matched in minutes with vetted, available specialistsHire experts who design repository layers, integrate relational and NoSQL data stores, and deliver reliable persistence services with Spring Data JPA, Spring Data MongoDB and Spring Data REST. Get precise access to vetted, available freelancers who match your project quickly.
Meet FRATCH Experts in Germany, who have recently used Spring Data
Robert D.
Last position:
Software Architect at FinTech / Wealth Management
- Analysis of existing microservice structures and integration into the event-driven architecture
- Design and implementation of prototypes
- Introduction of structured workflows and integration into a solid testing strategy
- Team: Small specialized team (3-5 people) from analysis through implementation readiness
- Documentation of architectural decisions and definition of interfaces
- Integration of the event-driven pipeline into the existing landscape
- Technologies: Kafka, Docker, Microservices, Event-Driven Architecture, Java, Liquibase
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
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.
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
Markus B.
Last position:
Developer / DevOps, Consulting at A state authority in Baden-Württemberg / FSAS Technologies GmbH
Oracle Project Management and Automation
As part of the project, the operation of an Oracle infrastructure was automated by developing and enhancing Puppet modules and migrating existing Bash scripts to a standardized configuration management solution.
The aim of the project was to standardize and automate administrative processes, improve the maintainability of the Oracle platform, and increase the efficiency and traceability of infrastructure management through the use of Infrastructure as Code.
- Analysis and migration of existing Bash shell scripts to a Puppet-based automation solution
- Development and enhancement of Puppet modules for Oracle environments
- Automation of installation, configuration and operational processes using Infrastructure as Code
- Standardization and optimization of configuration management for Oracle systems
- Creation and maintenance of technical and operational documentation
- Planning, coordination and professional support during project implementation
- Operation and automation of Oracle systems on x86-based Linux server platforms
- Testing and quality assurance of the developed Puppet modules
- Analysis and resolution of technical errors as part of the automation and migration
- Close coordination with specialist departments and infrastructure teams to implement automation requirements
Technologies used: Puppet 7/8, SLES 15, Oracle 19, Oracle Grid, SVN, Windows Server, Confluence, VS Code, Ruby, Bash, Pass
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
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.
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)
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
Celil U.
Last position:
ZÜRS Geo 2021 at adesso SE
- Frontend development
- Spring Boot
- Swagger
- Git
- GitLab
- SonarQube
- Docker
- Maven
- Java
- Angular
Discover over 15,000 top freelancers
Statistics of experts using Spring Data
Aggregated from the professional profiles of matched freelancers.
Experience
19 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
63%
Doctorate
15%

Certifications per freelancer
1

Most common languages
German, English, French

Speak two or more languages
97%
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 Germany 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 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 29 Oct 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 (97%)
- Banking and Finance (63%)
- Automotive (44%)
- Retail (42%)
- Insurance (41%)
- Government and Administration (39%)
- Transportation (34%)
- Manufacturing (29%)
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 data stores through consistent repository abstractions. It reduces repetitive persistence code while leaving room for store-specific queries, transactions and performance controls. Teams use it in Java and Kotlin services that need clear, maintainable data access.
Core modules and stores
The ecosystem covers Spring Data JPA for relational databases, Spring Data JDBC for direct SQL-oriented access, and modules for MongoDB, Redis, Elasticsearch, Cassandra and other stores. Strong implementation choices depend on the data model and consistency needs, not on using one module everywhere. Experts also work with Spring Framework, Spring Boot, Hibernate and database migration tools.
Typical project work
- Model entities, aggregates, repositories and custom queries
- Connect Spring Boot services to SQL and NoSQL databases
- Implement pagination, projections, auditing and transactions
- Expose controlled data access through REST or application services
- Diagnose slow queries, mapping problems and connection issues
Spring Data appears in customer platforms, commerce systems, financial services, logistics software and internal business applications. It supports both new services and the modernization of older persistence layers.
When companies need specialists
Companies often bring in freelance expertise when a service has unstable data access, unclear repository boundaries or growing query latency. Specialists can establish a persistence structure, migrate from hand-written data access, or review whether JPA, JDBC or a document store fits the domain. Germany-based teams may also value professionals who can work on-site when workshops or legacy-system access require it, while many assignments run remotely.
Skills around the technology
Effective Spring Data work requires more than repository interfaces. Professionals understand SQL, indexing, query plans, transaction isolation, schema design and database operations. They may also bring Spring Boot configuration, Hibernate behavior, REST API design, testing with Testcontainers, observability and CI/CD experience. Familiarity with German and English technical communication can support distributed project teams.
Signs of strong expertise
- Chooses the right Spring Data module for the persistence model
- Explains generated queries and validates them against execution plans
- Protects transaction boundaries and handles consistency explicitly
- Tests mappings, repositories and failure cases with realistic data
- Documents trade-offs instead of hiding them behind abstractions
A reliable professional can show how a design behaves under change, failure and load without treating the repository layer as a black box. They also separate domain logic from persistence concerns, review database migrations carefully and leave practical guidance for the team.
Frequently asked questions
Everything clients usually want to know about Spring Data, in one place.
Spring Data is used to simplify data access in Spring applications through repository abstractions and store-specific integrations. It supports relational and NoSQL systems, including use cases such as transactional services, search features, caching and document storage.
Spring Data JPA builds on JPA and Hibernate, making it suitable for rich object mappings, relationships and unit-of-work behavior. Spring Data JDBC uses a more direct persistence model with less implicit behavior, which can make SQL and aggregate boundaries easier to control.
Spring Data work benefits from strong SQL, database modeling, indexing and transaction knowledge. Useful adjacent skills include Spring Boot, Hibernate, REST API design, Flyway or Liquibase, Testcontainers, observability and cloud database operations.
Spring Data projects need a professional who understands the selected data store and the service’s consistency requirements, not just repository syntax. A smaller integration may need focused module knowledge, while migrations, performance work and complex transaction flows call for deeper persistence experience.
Spring Data assignments often work well remotely because repository design, query reviews and automated tests can be handled through shared code and documentation. On-site sessions in Germany can still help when teams need workshops around legacy databases, domain modeling or restricted infrastructure access.
Spring Data is useful when a Spring service needs consistent repository patterns, integration with transactions and reduced boilerplate across common persistence tasks. Direct database access may be preferable for highly specialized SQL, strict control over every query, or workloads where abstraction adds little value.
Spring Data provides separate modules for stores such as PostgreSQL, MySQL, MongoDB, Redis and Elasticsearch. A system can use more than one module, but each data boundary should have a clear purpose, ownership model and consistency strategy.
Spring Data quality is visible in clear aggregate design, predictable transactions, tested mappings and queries that match actual execution plans. Ask the professional to explain failure handling, indexing decisions, migration safety and how the persistence layer remains maintainable as the domain changes.
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 742 € 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, 63% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Germany who have used Spring Data in their recent projects have 19 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 (14%).
The most common industries among freelancers in Germany who have used Spring Data in their recent projects are Information Technology (97%), Banking and Finance (63%), and Automotive (44%).
The most common business areas among freelancers in Germany who have used Spring Data in their recent projects are Information Technology (100%), Product Development (97%), 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.
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