IBM DataStage Experts in Germany
in minutes from over 15,000 CVs with the power of AIHire experts who design DataStage jobs, build ETL and ELT flows, and tune IBM InfoSphere DataStage for reliable batch and near-real-time integration. FRATCH matches you fast and precisely with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used IBM DataStage
Umut Gülac
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Birgit Stünkel
Last position:
Business Analysis, Requirements Engineer at BMW
Refinement of epics and user stories to achieve a higher degree of automation in CRM usage. Testing of new Discountsystem
Mario Techera
Last position:
Project Lead/Manager / Consultant at all-BI GmbH
- Establishing the Microsoft Fabric platform with the company as the central data warehouse and reporting system.
- The company migrated several operational systems including D365 to new version. The new data warehouse is based on a Fabric/Power BI architecture with Azure cloud Entra Authentication.
Tasks Performed:
- Full administrative responsibility for the Fabric platform F64 and F32 capacities, as well as two F8 capacities for development and prototyping.
- Integration of Fabric with Microsoft Entra.
- Data modeling for the data warehouse bronze, silver and gold layers using data modeling tools.
- Star Schema as well as entity relationship modeling.
- Data modeling for data marts and for dimensional modeling and Power BI (semantic model).
- Design of data models for Microsoft SSAS multidimensional and tabular OLAP cubes using DAX and MDX.
- Definition of design patterns for the ETL team for loading OLAP cubes (Tabular and MD), star schemas and data vault structures.
- Planning and managing team of 4 ETL and reporting developers.
- Performance Tuning of Power BI reports, particularly the semantic layer, as well as the Fabric notebooks
- SQL Performance Tuning.
- DB Design for Azure SQL.
- Reporting directly to project senior management.
Label: Power BI, Fabric, Analysis Services (multidimensional and tabular), D365, SSIS, Tabular Editor, SQL Server and Azure SQL, TOAD Data Modeler, DBSchema, Visual Studio Code, DAX Studio, SSMS, Visual Studio, Jira and Confluence.
Ulm Paunel
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.
Peter Brungs
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
Alexander Bulgakov
Last position:
Test Manager, Test Analyst, Test Automation Engineer at Alexander Bulgakov IT-Consulting
- Managing two teams as a test manager
- Designing and conducting manual tests
- Designing, implementing, and running automated Cucumber and Tavern tests
- Creating and maintaining test plans
- Preparing and presenting execution results at iteration transitions
- Reviewing requirement tickets and related documentation
- Regular reporting and creating bug tickets
- Participating in Scrum meetings for both teams
- Supporting QA and representing QA in cross-team end-to-end test phases, meetings, and presentations
Methods & Tools:
- Tavern testing with Python
- IntelliJ with Cucumber
- Gherkin in JIRA
- various tools for handling JSON, XML, CSV, and HTML
- Insomnia for API requests
Ammad Tarar
Last position:
Senior Data Architect at Makerverse
- Designed and implemented the company's end-to-end data architecture, including ingestion, modeling, and BI layers.
- Developed modular and reusable dbt models to support product, finance, and marketing analytics.
- Introduced data governance practices and metadata management, improving trust and discoverability across teams.
Matthias Scherer
Last position:
IBM InfoSphere DataStage Senior Consultant at KKH (Kaufmännische Krankenkasse Hannover)
- Data migration from BVS to BITMARCK 21c|ng
- Test case creation; test execution and result analysis of the ETL processes
- Consulting on detailed planning and test execution
- Job review
- Development
- Documentation
- Error analysis & fixing / new development
- System environment: Windows 10; IBM InfoSphere DataStage 11.7.x; IBM DB2 z/OS; IBM DB2 LUW; PL/SQL; SQL; DBeaver 25.x; MS Office 365; Atlassian JIRA
Discover over 15,000 top freelancers
Statistics of experts using IBM DataStage
Aggregated from the professional profiles of matched freelancers.
Experience
25 years
Position duration
2 years
Positions per freelancer
18
Top business areas
Information Technology, Business Intelligence, Quality Assurance
Top industries
Information Technology, Banking and Finance, Insurance
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
86%
Master's degree or higher
57%
Doctorate
14%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 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 IBM DataStage
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it does IBM DataStage is used for data integration, ETL, and ELT work across enterprise systems. It moves, cleans, and reshapes data between databases, files, APIs, and warehouses. Many teams still search for it as DataStage or IBM InfoSphere DataStage.
Common delivery
- Batch and incremental data pipelines
- Source-to-target mappings and transformations
- Mainframe, ERP, and warehouse integration
- Job scheduling, logging, and restart handling
- Migration from legacy ETL flows
Ecosystem DataStage sits in the IBM data stack and often works with db2, Oracle, SQL Server, and cloud storage. Strong specialists know the Designer, Director, and Administrator tools, plus parallel jobs, connectors, and parameterized routines. They also understand how to keep mappings clear and supportable.
When companies bring help Teams bring in freelance expertise when pipelines fail, performance drops, or a release needs careful change control. They also do it for upgrades, platform moves, and new interfaces that must fit existing IBM environments. In Germany, this often involves mixed teams, so clear documentation and English or German communication both matter.
What strong specialists do A strong DataStage specialist reads complex jobs quickly and spots weak joins, bad lookups, and fragile dependencies. They know when to refactor, when to tune, and when to leave stable logic alone. They also work well with data owners, testing teams, and operations.
Signs you need one
- Loads are slow or failing
- Job logic is hard to change safely
- Legacy DataStage needs support or migration
- You need better monitoring and recovery
- A warehouse or ERP feed must be delivered soon
Frequently asked questions
The facts hiring teams ask for most often when it comes to IBM DataStage.
IBM DataStage is used to build and run data integration pipelines that move information between source systems, storage layers, and reporting targets. It is common for ETL, ELT, and batch processing work where controlled transformations and repeatable loads matter.
DataStage is the name many people use today, while IBM InfoSphere DataStage is the older product name that still appears in searches and legacy documentation. In practice, teams often mean the same enterprise ETL tool and its job design, scheduling, and administration features.
IBM DataStage is often chosen in IBM-heavy environments where integration must fit existing governance, security, and warehouse patterns. Compared with Informatica or Talend, the main difference is usually the surrounding stack and how much existing IBM knowledge a team already has.
A strong IBM DataStage specialist usually knows SQL, relational modelling, data quality checks, and source systems such as db2 or Oracle. Familiarity with performance tuning, job parameterization, error handling, and deployment routines is also important.
For DataStage work, the real question is complexity, not a single number. A small mapping change is different from redesigning a warehouse load or stabilizing many chained jobs, so you should match the specialist to the pipeline risk and the number of connected systems.
Yes, IBM DataStage work is often done remotely because job logic, mappings, and testing can be reviewed in shared environments. For sensitive systems or release windows, some companies in Germany prefer on-site sessions for cutovers, workshops, or access-controlled work.
A good DataStage freelancer can explain how a job works, why a transformation is built that way, and what happens when a source is missing or delayed. Look for clear examples of fixing failed loads, improving runtime, documenting jobs, and handing over code that others can maintain.
IBM InfoSphere DataStage expertise is most useful for warehouse feeds, ERP integration, legacy ETL support, and migrations that must preserve existing business rules. It also helps when a company needs stable batch flows across many source systems and a clear recovery path when a load fails.
The average hourly rate of freelancers in Germany who have used IBM DataStage in their recent projects is 93 €, which corresponds to a daily rate of about 747 € based on an 8-hour working day.
Of the freelancers in Germany who have used IBM DataStage in their recent projects, 86% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Germany who have used IBM DataStage in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Germany who have used IBM DataStage in their recent projects are German (100%), English (100%), and French (63%).
The most common industries among freelancers in Germany who have used IBM DataStage in their recent projects are Information Technology (100%), Banking and Finance (75%), and Insurance (75%).
The most common business areas among freelancers in Germany who have used IBM DataStage in their recent projects are Information Technology (100%), Business Intelligence (88%), and Quality Assurance (88%).
Main locations of FRATCH Experts, who have recently used IBM DataStage
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:
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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FRATCH CEO
