Apache Ant Experts in Frankfurt
matched in minutes from over 15,000 CVsHire experts who create maintainable Ant build files, automate Java packaging and integrate testing, dependency management and continuous delivery workflows. FRATCH finds a precise match quickly among vetted, available freelancers.
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
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
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
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: 16)
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: 89%)
Master's degree or higher
63% (Germany: 48%)
Doctorate
13% (Germany: 7%)
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 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 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 19 Sep 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 tasks such as compiling Java source, copying resources, running tests, creating archives and assembling releases. Its explicit task model works well when a project needs predictable, scriptable builds without a larger build framework.
Projects and deliverables
Ant specialists support legacy and modern Java systems, packaged applications and internal release tooling. Typical deliverables include:
- Maintainable build.xml files with reusable targets and properties
- Java compilation, test execution and artifact packaging
- Deployment archives for application servers and enterprise environments
- Migration support from manual scripts or older build processes
- Release tasks connected to continuous integration pipelines
Ecosystem and tooling
Strong Apache Ant expertise includes the Java Development Kit, JUnit, Apache Ivy and application-server tooling. Specialists may also work with Ant-Contrib tasks, XML properties, shell commands and custom Java tasks. They understand how Ant fits beside Maven, Gradle, Jenkins and repository systems rather than treating the build file in isolation.
When companies need help
Companies often bring in freelance Ant expertise when a build has become difficult to understand, releases depend on manual steps or a legacy Java application must remain stable while its delivery process changes. In Frankfurt, this can support local enterprise, finance, manufacturing and public-sector teams that maintain established Java estates. Remote work is practical when repositories, build agents and test environments are accessible.
What strong specialists deliver
Good professionals separate configuration from logic, use clear target dependencies and keep environment-specific values outside the main build definition. They make failures diagnosable and builds repeatable across developer machines and CI agents. They also document assumptions, control generated artifacts and test release paths instead of validating only a successful local compile.
Choosing the right expertise
Look for evidence of production build ownership, not only familiarity with XML syntax. Ask how the specialist would inspect a slow or unreliable build, manage shared properties, isolate credentials and introduce changes without breaking release compatibility. For teams in Frankfurt, clear English communication is useful for distributed work, while German may matter for on-site collaboration and stakeholder coordination.
Frequently asked questions
Everything clients usually want to know about Apache Ant, in one place.
Apache Ant automates repeatable tasks in Java and other software projects. Companies use it to compile source code, run tests, copy resources, create deployment archives and coordinate release steps.
Apache Ant gives teams explicit control over tasks and build flow, while Maven provides convention-based project structure and dependency handling. Gradle offers a programmable model and strong performance features; the right choice depends on the existing codebase, governance needs and migration risk.
A strong Apache Ant specialist usually understands Java, XML, JUnit, source-control workflows and continuous integration. Apache Ivy, Maven or Gradle knowledge is useful when a build uses mixed tools or is being modernized.
Apache Ant work benefits from experience with real release pipelines, not just simple compile targets. The required depth depends on build complexity, custom tasks, legacy constraints and the number of environments that must produce identical artifacts.
Apache Ant projects are often well suited to remote collaboration because build files, logs and artifacts can be reviewed in shared repositories and CI systems. Frankfurt teams should provide access to the relevant build agents and agree on communication, documentation and language expectations.
Apache Ant can remain a sensible choice when a stable application has extensive custom tasks, established release logic or costly migration dependencies. Replacement is worth evaluating when maintenance is opaque, dependency management is weak or the current process blocks reliable delivery.
Ask an Apache Ant professional to explain target dependencies, property scoping, failure handling and reproducible artifact creation. Good specialists can show how they would improve readability and reliability without changing application behavior unexpectedly.
A useful Apache Ant handover includes the build structure, required JDK and tool versions, environment properties, credentials handling, CI configuration and release instructions. It should also explain common failure modes and how generated artifacts are verified.
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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