
Apache Maven Experts in Frankfurt
matched in minutes from over 15,000 CVsHire experts who manage Maven project structures, dependency resolution and release automation across Java applications, libraries and services. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Frankfurt, who have recently used Apache Maven
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
Boian V.
Last position:
Solution Architect at DB InfraGO AG
The Base Services of DB InfraGO form a central data hub between the company’s IT systems. Common Data Services are developed that distribute data from source systems to a variety of downstream systems (via JMS) and make them available (via REST API). The existing service landscape based on TIBCO is being migrated to DB InfraGO’s cloud-native platform.
- Architecture design and implementation for performance-optimized bulk data processing of several million datasets at specific times during the day
- Technical specification and documentation of business requirements
- Integration of various subsystems (including SAP and Salesforce) through the reimplementation of more than 40 microservices based on Spring Boot
- Migration of TIBCO Based microservices from the Enterprise Integration Platform to the Cloud Native Platform using Spring-Boot
- Establishment of a deployment pipeline using GitLab CI/CD, Artifactory, and automated deployment to a Kubernetes environment with the help of ArgoCD
- Definition and implementation of automated unit, integration, and regression tests
Team Size: 9
Technologies/Tools: Java, Spring Boot, ActiveMQ(JMS), JUnit, Tibco Business Works, Gitlab (CI/CD), Kubernetes (Amazon AWS), ArgoCD, postgreSQL, Oracle, Postman, Hoppscotch, openAPI, Sonarqube
Mario S.
Last position:
Expert in Web Analytics, Tag Management and Consent Management at Deutsche Bahn AG
- Conducting and evaluating web analyses
- Creating and editing tags and scripts in the area of tag management as well as banners and other client-side web elements in the area of consent management
- Technologies used in development: Tealium, JavaScript, IntelliJ, Git, Android Studio, Selenium, Appium, Adobe Analytics, Power Automate, Power App
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
Jan M.
Last position:
Founder, Senior Solution Architect, Team Lead, Senior DevOps Engineer at CreArt IT GmbH
- Hands-on solution architect
- Digital product development - SaaS
- Strategic consulting on software architecture, cloud migration, and DevOps processes
- Coaching SE developers and IT architects
Ingo D.
Last position:
Analytics at BaFin - Federal Financial Supervisory Authority Frankfurt
- Introduction of methods for developing and automated deployment of cloud-native software and machine learning applications in OpenShift clusters
- Development of various programs in Python
- Technologies: Kubernetes, OpenShift, Kustomize, ArgoCD, Tekton, Docker, PodMan, Airflow, IntelliJ, PyCharm, Git, Bitbucket, Jira, Confluence, Python
Ulm P.
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Werner K.
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Tan P.
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Jochen H.
Last position:
DevSecOps Expert at DB InfraGO
- Central build and delivery for 20+ applications, 100+ pipelines/day, 700+ GitLab projects
- Build pipelines for Go, Java and JavaScript
- Provisioning of 100+ components
- Quality assurance via GitLab Code Quality and SonarQube
- Checks for dependencies, licensing and vulnerabilities
- Release creation via Jira and ServiceNow
- SBOM, Supply Chain Security, distroless images
- PoC GitLab Runner: Nomad vs. Kubernetes
- Technologies: Artifactory, buildah, GitLab Premium, Go, Gradle, Jenkins, Mend, Podman
Sai K.
Last position:
QA Engineer at Pharoscion Global Solutions
- Worked on an Internet Banking System enabling secure customer transactions (fund transfers, bill payments, balance inquiries) and bank-side operations (account management, approvals).
- Designed and executed manual and automated test cases for functional, regression, and integration testing across web and mobile platforms.
- Automated end-to-end banking workflows using Selenium WebDriver, Java, and TestNG, and performed REST API testing with Postman for backend validation.
- Built and maintained test automation frameworks using TestNG and Maven, and integrated with Jenkins CI/CD for continuous testing and reporting.
- Generated detailed test execution reports with ExtentReports, including logs and screenshots for audits and stakeholders.
- Collaborated in agile teams, contributing to UAT, test planning, and documentation across sprints.
Anusha L.
Last position:
Test Automation Consultant at EON Energy
- Design, develop, and maintain automated tests using Playwright with Python scripts, Typescript and Spring Boot
- Create test classes annotated with Spring Boot Test
- Create test scripts to cover functional, regression, and integration testing
- Ensure test automation coverage for web applications
- Collaborate with developers to identify testable requirements
- Troubleshoot automation test failures and resolve issues
- Integrate automated tests with CI/CD pipelines (e.g., Jenkins, GitLab CI/CD)
- Monitor and report test automation metrics
- Implement test data management and mocking strategies
- Ensure test reliability, stability, and maintainability
- Experience with containerization (Docker) and orchestration (Kubernetes)
Adil S.
Last position:
Mobile/Backend Developer at Freelance
- Built a cross-platform mobile application using React Native that interacts with IoT devices via RESTful APIs
- Implemented state management with Redux and integrated IoT-specific components for smooth data visualization and device control
- Developed RESTful APIs using Node.js and Express, utilizing MongoDB for scalable data storage
- Facilitated secure communication between the mobile app and IoT devices, enabling device onboarding, status monitoring, and control commands
- Implemented real-time data synchronization and optimized data flow to minimize latency
Ralf K.
Last position:
Senior Java Developer, Consultant at Dataport AÖR
- Maintenance and further development of the Java/Swing-based @rtus FormsEditor
- Design and development of a graphical formula editor based on Google Blockly to map a project-specific DSL, including parsing and code generation
- Implementation of pixel-perfect synchronization between editor and print preview to improve user experience
- Technologies: Java 17/21, Swing, JavaFX, JBoss/Wildfly, JUnit, Mockito, Blockly, JPedal, ICEPDF, Eclipse
Timur Y.
Last position:
Lead Frontend Developer | Fullstack Developer at Finanz Informatik
- Further development of an application for managing personnel changes.
- Development of frontend and backend.
- Implementation of the frontend with React and Material UI.
- Implementation of the backend with Java and Spring Boot.
- Use of React, Java, Spring, TypeScript, next.js, Material UI, Github Enterprise, Figma, Docker, Playwright, swagger, swagger UI, OpenAPI, npm, yarn, git.
Discover over 15,000 top freelancers
Statistics of experts using Apache Maven
Aggregated from the professional profiles of matched freelancers.
Experience
23 years (Germany: 20 years)

Position duration
2.1 years (Germany: 1.9 years)

Positions per freelancer
19 (Germany: 14)

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Banking and Finance, Transportation

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
93%
Master's degree or higher
67% (Germany: 56%)
Doctorate
7%

Certifications per freelancer
3

Most common languages
German, English, French

Speak two or more languages
100% (Germany: 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 Frankfurt 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 Frankfurt using Apache Maven
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.
Apache Maven experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Banking and Finance (89%)
- Transportation (72%)
- Telecommunication (67%)
- Government and Administration (50%)
- Insurance (44%)
- Automotive (39%)
- Energy (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Build and package Java software
Apache Maven is a build automation and project management tool for Java and related JVM projects. It uses a declarative project model to compile source code, run tests, package applications and produce repeatable releases. Teams rely on it for consistent builds across local machines and delivery environments.
Project model and lifecycle
Maven projects are described through a pom.xml file. This model defines coordinates, dependencies, plugins, repositories and lifecycle phases such as validation, testing, packaging and installation. A strong setup keeps these rules clear, inherits shared configuration safely and avoids unnecessary custom build logic.
Ecosystem and tooling
Maven works with the Java compiler, JUnit, Surefire, JaCoCo, Spring, Jakarta EE and common continuous integration tools. Specialists also handle:
- Multi-module project structures
- Private repositories and artifact promotion
- Plugin configuration and version management
- Dependency analysis and vulnerability remediation
Where companies use it
Maven appears in backend services, enterprise applications, APIs, libraries and large multi-module codebases. It supports teams that need traceable artifacts and predictable releases across development, testing and production. In Frankfurt, it can suit both local collaboration and remote work with distributed Java teams.
When freelance expertise helps
Companies often bring in a specialist during a migration, build failure investigation or delivery pipeline redesign. Other signals include slow builds, conflicting transitive dependencies, duplicated pom.xml configuration and releases that differ between environments. Professionals can also prepare Maven projects for a new repository or CI system.
What strong specialists deliver
Effective Apache Maven professionals understand Java code, dependency graphs, artifact repositories and CI/CD rather than treating the build file in isolation. They make builds reproducible, document important decisions and improve feedback without hiding problems behind custom scripts. Clear communication in English, and German where needed, supports smooth work with Frankfurt-based stakeholders.
Frequently asked questions
Questions about Apache Maven? Start with the answers below.
Apache Maven automates common stages of Java software delivery, including compilation, testing, packaging and publishing artifacts. It also manages dependencies and provides a shared project structure that helps teams build applications consistently.
Apache Maven uses a convention-based project model and declarative XML configuration, while Gradle offers a more programmable build model. Maven can be a strong choice when predictable conventions, broad plugin support and established team practices matter; Gradle may suit highly customized build logic.
A capable Apache Maven specialist usually understands Java, Git, unit testing and continuous integration. Experience with artifact repositories, Docker, dependency security and frameworks such as Spring can be important for production projects.
The right level depends on the work. A simple pom.xml adjustment may need focused knowledge, while multi-module migrations, repository changes or build-performance issues call for an Apache Maven professional who has handled comparable project structures.
Yes. Apache Maven work is well suited to remote collaboration because project files, build logs and pipeline definitions can be reviewed in shared repositories. For Frankfurt teams, agree early on working language, overlap hours, access permissions and review practices; on-site sessions can help when build infrastructure is restricted.
Ask how the Apache Maven professional would diagnose dependency conflicts, isolate environment differences and improve a failing pipeline. Strong answers connect the pom.xml, lifecycle, repository and CI configuration, and include a plan for tests, documentation and rollback.
Apache Maven is often preferable when a project benefits from standard lifecycle phases, dependency management and a shared convention. Ant provides flexible task-level control, but teams typically need to define more of the build structure themselves.
An Apache Maven freelancer can deliver a cleaned-up project model, dependency upgrade plan, multi-module structure, repository configuration or CI pipeline integration. They may also document release procedures and leave tests that verify the build remains reproducible.
The average hourly rate of freelancers in Frankfurt, Germany who have used Apache Maven in their recent projects is 99 €, which corresponds to a daily rate of about 789 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Apache Maven in their recent projects, 93% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 7% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Apache Maven in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Frankfurt, Germany who have used Apache Maven in their recent projects are German (100%), English (100%), and French (22%).
The most common industries among freelancers in Frankfurt, Germany who have used Apache Maven in their recent projects are Information Technology (100%), Banking and Finance (89%), and Transportation (72%).
The most common business areas among freelancers in Frankfurt, Germany who have used Apache Maven in their recent projects are Information Technology (100%), Product Development (94%), and Quality Assurance (78%).
Main locations of FRATCH Experts, who have recently used Apache Maven
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Countries:
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!

Berlin
Hamburg
Munich
Cologne
Stuttgart
Dusseldorf
Nuremberg