Pentaho Experts in Germany
for reliable data integration, matched in minutesHire experts who connect complex data sources, design dependable ETL workflows and deliver actionable business intelligence with Pentaho. FRATCH matches you quickly and precisely with vetted, available freelancers for remote or on-site collaboration.
Meet FRATCH Experts in Germany, who have recently used Pentaho
Alexander Z.
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Marcus B.
Last position:
Data Engineer at Deutsche Bahn AG via Scoore GmbH
- Development of ETL pipelines with Talend (7/ Enterprise)
- Development/adaptation of database schema/database functions (PostgreSQL)
- Development of GIT CI pipelines
Technologies: Talend Enterprise, Git, PostgreSQL, Dbeaver, SQL, PL-SQL, Liquibase
Olaf T.
Last position:
BI Architect in a Kanban Team at Gulp / Randstad for HHLA
- Creation of automated tests.
- Extension of the functionality of the enterprise BI data warehouse.
- Design and development in SQL and PL/SQL.
- Data modeling as well as performance measurement and tuning.
- Creation of and contribution to user stories and concepts.
- Technical environment: Windows, Linux.
- Database: Oracle 19c incl. DWH, CDB, PDB.
- Tools: Confluence, CVS, Eclipse, Git, GitLab, Jira, N4, PL/SQL, SQL Developer, utPLSQL.
Yahya V.
Last position:
BTP Integration Engineer at SAP
(Technology)
- Design and implementation of an SAP BTP CAP microservice to consolidate cross-system transactional checks between SAP Sales Cloud (C4C) and On-Premise SAP CRM (05/2024– 06/2025)
- Bi-directional Cloud-to-On-Premise integration enabling real-time validation of Contact lifecycle and open document dependencies prior to record updates (05/2024– 06/2025)
Responsibilities / Deliverables
- development of custom CAP (Cloud Application Programming) services on SAP BTP
- API design, data mapping, and end-to-end integration across C4C (Cloud Runway) and legacy CRM (Traditional Runway)
Younes H.
Last position:
Senior Backend Developer at PTA
- Development and maintenance of database-driven applications for managing supplier and food contracts, with extensive use of Oracle PL/SQL for complex business logic and data processing
- Optimization of PL/SQL procedures, functions, and triggers to ensure the performance and scalability of Oracle database solutions
- Ensuring compliance with best practices in PL/SQL development and implementing standards for code quality and data integrity
- Close collaboration with backend and frontend teams to ensure smooth integration between the Oracle database, C#-based APIs, and Azure cloud services
Michael S.
Last position:
Application Operations at Hausbank
- Configuration and expansion of monitoring
- Setup of a monitoring test instance and inclusion of Windows and Linux servers
- Creation of documentation for the checkmk environment
- Handover to operations
- Administration, installation, documentation
- IT environment: Windows Server 2019, Ubuntu Server, Checkmk
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.
Vili D.
Last position:
Technical Lead, Data Engineer at Mercedes-Benz Consulting
- Optimized the data architecture (medallion) to better decouple processing stages and improve transparency and reproducibility
- Ensured technical quality of data processing in Databricks by introducing schema enforcement, data quality checks and a structured data architecture
- Orchestrated pipelines with Azure Data Factory
- Professionalized and automated the development and deployment process by integrating Git and GitHub Actions
- Led the Data Engineering team (3 members) in a functional role
- Conducted workshops to optimize and stabilize the data platform and the development process
- Collected and prioritized new requests, maintained the product backlog
- Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS SharePoint, Mural
Alexander P.
Last position:
Head of integration for six country subsidiaries at XSYS Holding
- Analyzed the required scope of processes, infrastructure, and SAP for integrating the MacDermid subsidiaries
- Validated proposals from the new service providers
- Managed the collaboration and tracked the tasks of business and IT experts
- Coordinated communication and the PMO
- Created cutover plans in three waves for SAP conversion, Salesforce, and Ariba
Nikhil G.
Last position:
Co-founder / Solution Architect at Lima Care GmbH
- Developed a comprehensive business concept for a medical fall detection device based on a patented process registered in Germany
- Identified and collected use cases for medical device deployment in residential buildings and healthcare provider facilities
- Expanded the product scope to industry standards such as HL7/FHIR and designed a product based on modern communication protocols for IIoT
- Supported offshoring activities, defined SLA and scope-of-work documents for development teams after selecting various vendors
- Identified and selected hardware components (Terrabee, E-Con Systems) for LIDAR/TDOA functions
- Defined integrated AI features and LLM models for patient fall detection as well as AI-based audio triggers
- Oversaw the implementation of algorithms for object detection, fall detection, and false alarm identification
Kerstin B.
Last position:
Reporting and analytics for HR at Apobank
- Designing and implementing an interactive evaluation system for top executives to rate core competencies such as goal orientation, team culture, and strategic alignment.
- Integrating control mechanisms to enforce feedback limits and store evaluations in a central system to ensure data integrity.
- Optimizing data processing for personnel development by automating the merging of various information sources for form letters.
- Implementing technical data preparation and analysis for the annual compensation comparison in the financial sector.
- Developing automated processes for data preparation in Excel using Power Query, ensuring data integrity and anonymization according to data protection requirements.
- Automating personnel cost analysis by developing a solution to process data from the Paisy system into an SAP-compatible Excel file.
- Creating test cases, user documentation, and test plans for all developed systems.
- Technologies: Power Query, MS Office 2016 (Word, Excel, PowerPoint), Paisy, SAP, VBA.
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.
Gyan P.
Last position:
Senior DevOps and Cloud Architect at Bosch
- Architected and operated cloud-based data and ML platforms for autonomous driving and parking systems, supporting large-scale (multi PB scale) simulation and vehicle data ingestion.
- Implemented security, compliance, and governance standards across Azure subscriptions and cloud resources.
- Managed GitHub organizations and CI/CD pipelines to improve deployment reliability and developer productivity.
- Contributed to hiring and technical interviews as part of the recruitment panel.
Gurpreet D.
Last position:
Anonymous – German building materials manufacturer
- Creation of the profit center report and statistical metrics report
- Gathering and analysis of requirements regarding the forecast for revenue and costs
- Implementation of various time series analyses and optimization of forecasts
- SAP process knowledge, SQL, Python
- Python with various libraries for time series analysis and Machine Learning
Peter B.
Last position:
Data Warehouse Consultant (Development and Analysis) at Atruvia AG
- Developed and enhanced ETL loading jobs with IBM DataStage and optimized SQL in an IBM DB2 environment as part of the Agree21 data migration
- Analyzed data quality and developed test procedures
- Created PowerShell scripts and documented GIT deployment processes
- Technologies: RedHat Linux, IBM DB2 with DBVisualizer, IBM InfoSphere DataStage 11.7, JIRA, TortoiseGIT, TortoiseSVN, PowerShell scripts
Discover over 15,000 top freelancers
Statistics of experts using Pentaho
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
3.7 years
Positions per freelancer
17
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Telecommunication, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
76%
Master's degree or higher
35%
Doctorate
6%
Certifications per freelancer
6
Most common languages
German, English, French
Speak two or more languages
100%
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 Pentaho
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.
Pentaho 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 (86%)
- Telecommunication (67%)
- Professional Services (62%)
- Banking and Finance (57%)
- Energy (52%)
- Transportation (52%)
- Automotive (48%)
- Healthcare (48%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Pentaho does
Pentaho is a business intelligence and data integration suite used to move, transform, analyse and present information from many sources. It supports reporting, dashboards, data preparation and analytics for operational and enterprise data. Companies use it when reliable information flows matter across departments, applications and data stores.
Integration foundation
Pentaho Data Integration, also known as Kettle, provides the visual workflow environment for extracting, transforming and loading data. Specialists work with Spoon, jobs, transformations, repositories and scheduling to build repeatable pipelines. They connect relational databases, flat files, APIs, cloud services and other business systems while managing validation and error handling.
Ecosystem and tooling
A strong Pentaho setup can include Pentaho Server, Report Designer, Metadata Editor and the Analyzer interface. Useful adjacent skills include SQL, dimensional modelling, data warehousing, Java, scripting, REST APIs and Linux operations. Depending on the environment, professionals also work with PostgreSQL, Oracle, Microsoft SQL Server, Hadoop or cloud storage.
Where companies use it
- Consolidating finance, sales and operational data into a reporting layer
- Building ETL pipelines for data warehouses and recurring management reports
- Preparing data for dashboards, regulatory analysis and business planning
- Replacing manual spreadsheet-based data preparation
Pentaho appears in manufacturing, retail, logistics, finance, healthcare and public-sector environments. In Germany, teams often bring in specialists to connect established local systems with newer cloud and analytics services without disrupting daily operations.
When freelance expertise helps
Companies typically seek a freelance specialist during a migration, a reporting redesign, a data quality initiative or a temporary gap in internal capacity. External expertise can also help when pipelines are slow, undocumented or difficult to monitor. Remote delivery works well when access, documentation and decision owners are organised; on-site workshops can help with complex source systems and stakeholder alignment in Germany.
What quality looks like
The best professionals clarify business definitions before creating transformations. They design modular jobs, use clear naming, protect credentials, document dependencies and make failures visible. They also test source changes, reconcile outputs and consider performance, restart behaviour and maintainability rather than delivering a workflow that only works once.
When reviewing a portfolio, ask for examples of production data integration, reporting models and troubleshooting under real constraints. A capable specialist can explain why Pentaho was selected, how Kettle jobs are operated and how knowledge is transferred to the team.
Frequently asked questions
Questions about Pentaho? Start with the answers below.
Pentaho is mainly used for data integration, ETL, reporting, dashboards and business intelligence. Its tools help companies combine information from databases, files, APIs and business applications, then prepare it for analysis and decision-making.
Pentaho Data Integration is the product name commonly used for the ETL part of Pentaho, while Kettle is its long-standing and widely recognised name. A specialist may refer to Spoon, transformations and jobs when discussing the same workflow environment.
Pentaho offers a broad combination of visual data integration, reporting and business intelligence features. Apache NiFi is often considered for flow-based movement and routing, while Talend is commonly weighed against Pentaho for integration and governance needs. The right choice depends on existing systems, operating skills and reporting requirements.
A strong Pentaho specialist usually brings SQL, data warehouse modelling, database administration basics and practical data quality skills. Java, REST APIs, scripting, Linux, cloud storage and dashboard or reporting experience can also be important depending on the environment.
The required background depends on the scope and risk of the work. A migration or production redesign needs a professional who has operated Kettle workflows, handled failures and tuned queries, while a contained report change may suit someone with narrower Pentaho experience.
Pentaho work is often suitable for remote collaboration when secure access, source documentation and clear ownership are available. On-site sessions can still help with workshops, legacy-system discovery or sensitive stakeholder discussions, and German or English communication should match the project team.
Ask the specialist to describe a complete delivery, from source analysis through deployment and monitoring. Look for clear explanations of transformations, testing, data reconciliation, documentation and recovery procedures rather than a portfolio focused only on attractive reports.
A well-built Pentaho pipeline has modular transformations, controlled credentials, useful logging and visible failure handling. It validates inputs, avoids unnecessary database work, supports safe reruns and produces outputs that business users can reconcile with trusted source data.
The average hourly rate of freelancers in Germany who have used Pentaho in their recent projects is 99 €, which corresponds to a daily rate of about 791 € based on an 8-hour working day.
Of the freelancers in Germany who have used Pentaho in their recent projects, 76% hold at least a Bachelor's degree, 35% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Germany who have used Pentaho in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 3.7 years.
The most common languages among freelancers in Germany who have used Pentaho in their recent projects are German (100%), English (100%), and French (24%).
The most common industries among freelancers in Germany who have used Pentaho in their recent projects are Information Technology (86%), Telecommunication (67%), and Professional Services (62%).
The most common business areas among freelancers in Germany who have used Pentaho in their recent projects are Information Technology (100%), Business Intelligence (95%), and Product Development (76%).
Main locations of FRATCH Experts, who have recently used Pentaho
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
