Spring Batch Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Spring Batch
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
Collin K.
Last position:
Software Architect / Fullstack Developer at Equity Bytes
Built an international e-commerce platform for a multi-vendor marketplace for digital assets from scratch. Designed and operated cloud native architectures at enterprise scale.
- Designed and operated a highly scalable microservice and serverless architecture
- Built the complete cloud infrastructure with Terraform + AWS CDK in AWS
- Provisioned ECS/EKS clusters (Fargate), Application Load Balancers (reverse proxy), and Lambda functions
- Observability & tracing with CloudWatch, DataDog, Prometheus, and Grafana
- End-to-end setup with DataDog (formerly AWS CloudWatch), Prometheus, and custom Grafana dashboards
- Integration of advanced metrics (including ORM mapper) and distributed tracing with Jaeger
- Robust backup and disaster recovery strategies
- RDS Postgres backups and hourly snapshots
- Read-only, asynchronously synchronized replicas with automated master failover in emergencies
- Minute-level rollback capability through versioned Docker images on ECS and Git-based CI/CD pipelines
- Created CI/CD pipelines with GitHub Actions for automated multi-stage deployments (Dev, Testing, Prod)
- Integrated Stripe for international payment processing
- Built a marketplace payment system with multiple parties and payout routines
- Used Algolia for high-performance real-time search of digital assets on the platform
- Federation of services with GraphQL and Hasura
- Later migration to GraphQL Mesh
- Test Driven Development (TDD) - unit, integration, and E2E testing with Jest, Vitest, and Playwright
- Used Next.js / React for modern frontend applications in the nx monorepo
- Enterprise security architecture & access control
- Integration of JWT tokens with Auth0, OAuth, OIDC, IP guards, BOLA protection, and secret vaults
- Authorization concepts with RBAC, ABAC, and native Postgres Row-Level Security (RLS)
- Built internal microfrontends with Retool for fast prototyping and operational business processes
Technologies: ABAC, AWS CDK, AWS CloudWatch, AWS ECS, AWS EKS, AWS Fargate, AWS RDS, AWS S3, Algolia, Auth0, DataDog, Docker, GitHub Actions, Grafana, GraphQL, GraphQL Mesh, Hasura, JWT, Jaeger, Java, JavaScript, Jest, Kotlin, Kubernetes, Monorepo, Next.js, OIDC, Playwright, Postgres, Postgres RLS, Prometheus, RBAC, Redis, Retool, Serverless, Stripe, Terraform, TypeScript, Vitest
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Marcus B.
Last position:
Java and Quarkus Expert at Large German energy service provider
- Modernization of a large-scale Java enterprise application*
The project is modernizing a complex enterprise application that has grown over many years. The existing Spring-based legacy system runs on Java 8, OSGi, and Eclipse RCP and is being gradually migrated to a modern, maintainable architecture with Java 25 and Quarkus.
Marcus works on analysis, architecture, refactoring, and implementation. One focus is on untangling historically grown structures and dependencies and on building a clean, sustainable Java and Quarkus technology stack.
Tools & technologies: Java 8, Java 25, Quarkus, Hibernate ORM with Panache, EclipseLink, OSGi, Eclipse RCP, Maven, JUnit, Mockito, REST, JSON, Git, Eclipse IDE, IntelliJ IDEA Ultimate, Jira, Confluence
Sabahattin K.
Last position:
Sole responsibility (design, development, infrastructure, operations) at Own project busik.ch
- Ride-sharing and bus platform, live and fully functional. Backend with Spring Boot 4.1 on Java 21, PostgreSQL with Flyway, and Testcontainers integration tests. Hosted in my own AWS account (ECS Fargate, ALB, ECR, IAM Least-Privilege) with CI/CD via GitHub Actions and OIDC federation without static credentials. Development fully AI-supported with Claude Code, including custom skills and project-specific memory. Spring Boot · Java 21 · PostgreSQL · Flyway · Docker · AWS ECS/ALB/ECR · CI/CD · GitHub Actions · Claude Code
Priyanka S.
Last position:
Business Consultant (Software Engineering) at Boehringer Ingelheim
- Developed cloud-native enterprise applications on SAP Business Technology Platform using Node.js, SAP UI5, and RESTful APIs, delivering solutions across training management, procurement, employee information, and logistics domains
- Served as the primary developer for the maintenance, enhancement, and production support of three enterprise applications, delivering new features, resolving production issues, and coordinating releases with business stakeholders
- Experienced in leveraging AI-assisted development tools such as Microsoft Copilot to accelerate feature development, generate code, prototype solutions, and support application migration and modernization
- Designed backend services, domain models, and SAP Fiori/UI5 interfaces, implementing business workflows, role-based access control, validations, scheduling, reporting, and data import/export capabilities
- Designed and integrated enterprise services with SAP SuccessFactors, SailPoint, ERP systems, and external Learning Management APIs, including automated synchronization for 11,000+ user data
- Designed and implemented AMQP-based event-driven services processing up to 500 RFID parcel scan events per day for a logistics application
- Managed deployments and application operations using CI/CD pipelines, SAP Solution Manager, SAP BTP Cockpit, Kibana, and cloud monitoring tools, performing root-cause analysis and resolving production incidents
- Managed application dependencies by resolving npm package version conflicts and remediating critical and high-severity security vulnerabilities, ensuring production compliance and application stability
- Collaborated with architects, business users, SAP governance teams, and distributed Agile teams throughout technical design, code reviews, sprint planning, documentation, and software delivery
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
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
Noel L.
Last position:
Founder & Lead Engineer at ausbildung-in-der-it.de
- Platform established and running stably; deliberately reducing my involvement to refocus on an engineering mandate in the financial sector.
- Built an own SaaS learning platform from the ground up and scaled it to over 20,000 users (over 6,000 courses sold, B2C and B2B); end-to-end ownership from development through infrastructure to operations.
- Built a lab environment that provisions an isolated Linux container per user (Docker, Traefik, Go), including automatic provisioning and a dedicated subdomain per user.
- Integrated LLM features into the product and accelerated development end-to-end with AI-assisted workflows (Claude Code, Codex); CI/CD with automated tests.
Nune I.
Last position:
Fractional CTO at OpsWorker
OpsWorker turns Kubernetes alerts into root-cause analyses, on top of the monitoring a team already runs. I lead the technical side: the agent architecture, the AWS infrastructure it runs on (fully inside EU regions), and the engineering decisions behind it, read-only in the cluster by default, human in the loop for judgment. The stack underneath: Amazon Bedrock and Bedrock AgentCore, agents built with the Strands Agents SDK, the Claude and OpenAI APIs, and the Kubernetes API.
Christian T.
Last position:
HDI DevOps & Fullstack Engineer at HDI
- Spring Boot Software Engineer
- DevOps Engineer (Kubernetes, Azure DevOps)
Toolstack: Java, Spring Boot, Kubernetes, Helm, GitOps, ArgoCD, Docker, Azure DevOps, CI/CD Pipelines, Git, Postgres
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 embedding in a solid testing strategy
- Team: small specialized team (3-5 people) from analysis to 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
Igor K.
Last position:
Freelance Software Developer
Hüseyin K.
Last position:
Senior Full-Stack Engineer at DVAG
Architecture and implementation of a fully digitalized closing flow for managing securities contracts within the DVAG infrastructure. The platform aims for maximum user-friendliness, modular extensibility and compliant handling of sensitive data.
Implementation of a reactive UI structure with a focus on user guidance & accessibility.
Dynamic control of form and closing processes including validation logic.
Reactive state management via SignalStore (signals + selective effects).
UX optimization through adaptive components and Playwright-based UI tests.
Backend modularization to connect existing sales and contract logic.
API stability and DTO design according to Clean Architecture principles.
Collaboration with domain teams to define technical contracts and service boundaries.
Management with GitHub.
Unit tests with Jest, E2E tests with Playwright.
Code reviews, CI-integrated test execution, iterative refactorings.
Ensuring high coverage and UI stability in the closing flow.
Technologies: Angular 18, RxJS, SignalStore, HTML5, SCSS, Spring Boot, Kotlin, REST, OAuth2, Jest, Playwright, Clean Architecture.
Rodrigue K.
Last position:
Fullstack Development at Bavarian State Office of Taxes
- Performed an as-is analysis of the existing Oracle application Express Admin interface
- Created a requirements analysis for the React admin interface to be developed
- Developed the new VAT admin interface using React and TypeScript (frontend) as well as Java 17, Spring Boot, and Hibernate (backend)
- Conducted final training, including training materials, to transfer knowledge to the client’s employees and ensure they can independently maintain and extend the software
- Produced detailed technical documentation
- Tools: KONSENS-AppKit, SPA, React, TypeScript, REST API, unit testing, Java, JavaScript, Node, HTML5, CSS3, UI/UX, Spring Boot, OpenAPI, JSON, Oracle DB, GitHub CI/CD, Playwright, UML, Gradle
Discover over 15,000 top freelancers
Statistics of experts using Spring Batch
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.4 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Insurance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
91%
Master's degree or higher
70%
Doctorate
4%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
97%
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 Batch
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 Batch 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 (93%)
- Banking and Finance (73%)
- Insurance (50%)
- Government and Administration (43%)
- Retail (40%)
- Transportation (33%)
- Automotive (27%)
- Education (23%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Chunk-Oriented Processing at Scale
Spring Batch provides the foundational architecture for handling high-volume, offline background operations across the Java ecosystem. The framework uses item readers, item processors, and item writers to process bulk data in discrete transactions, preventing memory exhaustion and ensuring reliable data transformations.
Core Architecture and Job Execution
The framework centers on job repositories that record job instance and execution states in relational databases like PostgreSQL, Oracle, and MariaDB. This metadata infrastructure enables automatic step restarts, transaction rollbacks, and skip logic without losing processing progress when external systems or networks fail unexpectedly.
Typical Enterprise Use Cases
- End-of-day reconciliation pipelines for banking platforms
- Nightly ERP inventory and order synchronization
- Large-scale ETL data ingestion for analytics warehouses
- Bulk document and monthly invoice generation
- Legacy mainframe data migrations to modern cloud platforms
Integration within the Spring Framework
Modern implementations integrate directly with Spring Boot 3, Spring Cloud Task, and Spring Cloud Data Flow. Teams orchestrate containerized workloads on Kubernetes, dispatching transient batch tasks that scale horizontally across clusters using remote chunking or remote partitioning over messaging queues.
Batch Engineering in Germany
Organizations in Germany rely heavily on the framework across financial services, manufacturing, automotive logistics, and telecommunications. These mission-critical systems demand strict adherence to data protection standards, predictable audit logs, and low operational overhead during off-peak processing windows.
What Distinguishes Top Specialists
Experienced professionals write idempotent processing steps, configure connection pools correctly, and design defensive error-handling routines. They identify database bottlenecks, manage parallel execution threads cleanly, and upgrade legacy setups toward current standards with zero data loss.
Frequently asked questions
Everything clients usually want to know about Spring Batch, in one place.
Spring Batch is engineered for automated processing of large volumes of records without user interaction. Common implementations include end-of-day financial settlement, automated invoicing, bulk database migrations, and complex ETL pipelines where reliability and auditability are essential.
While streaming tools process continuous event flows one by one with low latency, Spring Batch excels at finite, chunk-oriented data processing across large datasets. It guarantees transactional consistency, state tracking in a relational database, and automatic restart capabilities from the point of failure.
An effective Spring Batch specialist needs deep knowledge of Java, Spring Boot, and relational database tuning. They must be proficient in SQL optimization, transaction management, messaging systems like Apache Kafka or RabbitMQ, and orchestration tools such as Spring Cloud Data Flow.
The framework uses a persistent JobRepository to record execution states and commit intervals. If a job fails midway, Spring Batch inspects this metadata upon restart to resume processing precisely from the last committed chunk rather than repeating completed work.
Yes, Spring Batch supports multi-threaded steps, local partitioning, remote partitioning, and remote chunking. By pairing the framework with message brokers, workloads can be distributed across multiple worker nodes running on cloud platforms or Kubernetes clusters.
Inspect how the codebase manages chunk sizes, skip policies, and retry templates. A well-designed Spring Batch job features idempotent operations, isolates slow third-party calls, avoids loading entire datasets into memory, and includes comprehensive unit tests using framework test utilities.
Most Spring Batch projects in Germany operate efficiently under hybrid or fully remote arrangements. On-site presence is occasionally requested during initial architecture workshops, kickoff phases, or for air-gapped systems in sensitive banking and insurance environments.
While international tech hubs often run on English, enterprises in Germany frequently appreciate professionals fluent in German for enterprise architectures. This ensures seamless alignment when dealing with internal compliance teams, legacy specifications, and local business stakeholders.
The average hourly rate of freelancers in Germany who have used Spring Batch in their recent projects is 96 €, which corresponds to a daily rate of about 768 € based on an 8-hour working day.
Of the freelancers in Germany who have used Spring Batch in their recent projects, 91% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 4% hold a doctorate.
On average, freelancers in Germany who have used Spring Batch in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Germany who have used Spring Batch in their recent projects are German (100%), English (93%), and French (13%).
The most common industries among freelancers in Germany who have used Spring Batch in their recent projects are Information Technology (93%), Banking and Finance (73%), and Insurance (50%).
The most common business areas among freelancers in Germany who have used Spring Batch in their recent projects are Information Technology (100%), Product Development (93%), and Quality Assurance (60%).
Main locations of FRATCH Experts, who have recently used Spring Batch
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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Philipp Thomaschewski
FRATCH CEO
