Apache Ant Experts in Frankfurt
matched in minutes from over 15,000 CVsHire experts who create maintainable Ant build files, integrate Java testing and packaging tools, and modernize legacy delivery workflows. FRATCH matches you quickly with vetted, available freelancers whose skills fit your project precisely.
Meet FRATCH Experts in Frankfurt, who have recently used Apache Ant
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
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 for representing a project-specific DSL, including parsing and code generation
- Implementation of character-accurate synchronization between the editor and print preview to improve the user experience
- Technologies: Java 17/21, Swing, JavaFX, JBoss/Wildfly, JUnit, Mockito, Blockly, JPedal, ICEPDF, Eclipse
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
Michael Y.
Last position:
Senior Consultant, Senior DevOps Engineer at DB Regio AG
- Supported implementation and operation of a portal used online and offline in customer-facing vehicles
- Automated processes by introducing CI/CD pipelines
- Provided enablement and methodological guidance for adopting software engineering best practices
- System environment: NestJS, Node.js, npm, AWS, Docker, Docker Swarm, GitLab CI, WhiteSource, PostgreSQL, Prometheus, Grafana, OpenSearch, REST API
Rashid I.
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
Jörg-Ulrich H.
Last position:
Data flows for health insurance providers
- Further development and creation of data flows for health insurance providers
- Data management across various storage systems (DB2, MSSQL, PostgreSQL, S3, custom APIs, ...)
- Documentation and training
- Planning and deployment of NiFi 2.x (major upgrade)
- Integrating Grafana for visualization, monitoring, and alerting
- Extensive use of the NiFi API to continuously monitor the system and its components
Jihane T.
Last position:
Reporting and Business Intelligence Specialist at Union Investment
- Developing and implementing new reporting requirements based on Oracle DWH with various business intelligence systems (SAP Business Objects and Birt-Eclipse)
Discover over 15,000 top freelancers
Statistics of experts using Apache Ant
Aggregated from the professional profiles of matched freelancers.
Experience
25 years (Germany: 24 years)
Position duration
1.7 years (Germany: 2.2 years)
Positions per freelancer
23 (Germany: 17)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
75% (Germany: 90%)
Master's degree or higher
63% (Germany: 49%)
Doctorate
13% (Germany: 6%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 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 Frankfurt 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 Frankfurt using Apache Ant
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.
Apache Ant 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 (90%)
- Transportation (80%)
- Telecommunication (80%)
- Automotive (50%)
- Insurance (50%)
- Professional Services (50%)
- Government and Administration (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Build automation with Ant
Apache Ant is an open-source build automation tool from the Apache Software Foundation. It uses XML build files to describe repeatable tasks such as compiling Java source, copying resources, running tests, creating archives and assembling releases. Its platform-independent design makes it useful wherever a project needs explicit, scriptable build steps.
Java project delivery
Ant is widely used in Java applications, libraries and enterprise systems. Experts define targets, properties, dependencies and reusable tasks so teams can build consistently across local machines and continuous integration environments. It also supports packaging formats such as JAR, WAR and EAR, making it practical for established application delivery workflows.
Ecosystem and tooling
Strong Ant specialists understand the tools that surround a build rather than treating the XML file in isolation. Their work may connect Ant with:
- JUnit and TestNG test execution
- Apache Ivy or Maven repositories for dependency handling
- Jenkins, GitLab CI or other automation servers
- Java compilers, application servers and release scripts
When companies need expertise
Companies often bring in freelance Ant expertise when a legacy build has become difficult to change, a Java release process needs to be stabilized, or an older application must move to a new environment. In Frankfurt, this can support local enterprise teams while keeping collaboration practical across remote and on-site contributors. Typical assignments include build migration, CI integration, release packaging and documentation.
- Untangle fragile targets and hidden build dependencies
- Improve repeatability across developer and CI environments
- Connect builds with tests, repositories and deployment steps
What strong specialists deliver
Effective professionals make build logic readable, modular and predictable. They know when to use Ant macros, custom tasks, property files and environment-specific targets, and they avoid masking failures with brittle scripting. They also assess whether Ant should remain in place or work alongside Maven, Gradle or another tool during a controlled transition.
Selecting the right professional
Look for someone who can explain the existing build flow, identify its dependencies and show how changes will be tested. Relevant experience includes Java build lifecycles, version control, CI troubleshooting, artifact repositories and release management. Ask how they document targets, handle secrets and reproduce a build on a clean machine. Clear communication matters when Frankfurt-based teams collaborate with remote specialists in English or German.
Frequently asked questions
Everything clients usually want to know about Apache Ant, in one place.
Apache Ant automates repeatable build tasks, especially in Java projects. It can compile source code, run tests, copy resources, create JAR or WAR files and prepare releases through XML-based build files.
Apache Ant gives teams detailed control over build steps but does not impose the same project conventions or dependency model as Maven. Gradle offers a more programmable approach and strong dependency support, while Ant can remain the better fit for established, customized build processes.
A capable Apache Ant specialist usually understands Java compilation, JUnit or TestNG, version control, CI servers and artifact repositories. Knowledge of Maven, Gradle, Apache Ivy, application servers and shell scripting is also useful when integrating or modernizing an existing build.
The required depth depends on the build’s complexity and risk. A simple target adjustment may need focused knowledge, while migrating a large Ant build or repairing a release pipeline calls for a professional who has diagnosed dependencies, custom tasks and CI failures in production environments.
Yes. Apache Ant build files, logs and CI results can be reviewed remotely through shared repositories and automated pipelines. Teams in Frankfurt can combine on-site collaboration with remote specialists when requirements, access rules and documentation are agreed clearly.
A company may keep Apache Ant when its build is stable, deeply customized or tightly connected to existing release tooling. Replacement makes more sense when maintenance is costly, dependency management is weak or the team needs conventions that Maven or Gradle provide more directly.
Ask the Apache Ant professional to map the build flow, explain target dependencies and describe how they would test changes on a clean environment. Strong specialists improve readability and failure handling instead of adding opaque workarounds, and they document the reasoning behind important build decisions.
Apache Ant remains relevant in legacy Java estates, enterprise applications and custom delivery systems. Freelancers should be ready to work with older build conventions while also understanding modern CI, dependency repositories and migration paths to tools such as Maven or Gradle.
The average hourly rate of freelancers in Frankfurt, Germany who have used Apache Ant in their recent projects is 104 €, which corresponds to a daily rate of about 835 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Apache Ant in their recent projects, 75% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Apache Ant in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Frankfurt, Germany who have used Apache Ant in their recent projects are German (100%), English (100%), and French (30%).
The most common industries among freelancers in Frankfurt, Germany who have used Apache Ant in their recent projects are Information Technology (100%), Banking and Finance (90%), and Transportation (80%).
The most common business areas among freelancers in Frankfurt, Germany who have used Apache Ant in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (100%).
Main locations of FRATCH Experts, who have recently used Apache Ant
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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