ETL Developers in Germany
matched in minutes from over 15,000 CVs with the power of AISupport for data warehouse builds, SQL and Python pipelines, and complex source-to-target mappings across cloud and on-prem systems. Find vetted ETL developers who can clean, load, and shape your data fast, with precise matching and freelancers who are available now.
Meet FRATCH ETL Developers
Ludo Prokop
Last position:
Senior Consultant at Insurance
- DWH modernization
- Migration from Informatica PowerCenter to IDMC/CDI
- Migration from IBM DB2 to Databricks
Technologies: Informatica IDMC, Databricks
Monika Thepale
Last position:
Senior ETL Lead at Takeda GmbH
- Led design, development, and deployment of data solutions supporting a major pharma acquisition for Takeda Pharmaceutical Company, delivering transparency reporting systems across Azure,Databricks (Python and Shell Scripting) platforms.
- Owned,Designed and developed scalable ELT pipelines to process Customer and Product data using Azure, complex SQL, Databricks, and shell scripting, enabling efficient data integration and processing across multiple sources including job orchestration and workflow automation.
- Implemented performance optimization techniques (query tuning, parallelism, workload optimization), improving system efficiency and processing time.
- Applied strong analytical and problem-solving skills to assess technical solutions and support business requirements for compliance and transparency reporting.
- Designed scalable data foundations suitable for downstream analytics and AI workloads.
- Led data quality initiatives by assessing multiple source data, defining quality metrics, and establishing processes for monitoring and continuous improvement.
Michael Ternes
Last position:
ETL Developer at Insurance service provider
DWH for customer and financial data
- Extension of the DWH with new data sources
- Report development
- Data quality management
Methodology: Scrum
Tools: Atlassian Confluence & Jira
Databases: Microsoft SQL Server
Programming languages: SQL, T-SQL
ETL: Microsoft SQL Server Integration Services (SSIS)
Frontend platform: PowerBI, Microsoft Reporting Services
Asım Yurduseven
Last position:
Freelance BI/DWH/ETL Specialist at Akbank
- Setting architectural standards for Informatica Power Center development teams
- Maintenance-performance-health for DWH (Exadata) environments
- Qlik Sense / BO reports architectural standards
- Implementing best practices in ETL tasks
- Documentation ETL standards on Confluence
- Dynamic Data Masking rules for GDPR/KVKK regulations by using Informatica DDM tool
- DWH Data model Power Designer
- Upgrade Qlik Sense versions
- Merge all Informatica server's repository databases on one Oracle DB
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.
Stefan Corsten
Last position:
SSIS Development at Stadtsparkasse München
- Replacement of a Java application and the Oracle DB for loading the internal WerWasWo system using SSIS.
- Development of SSIS packages to load text files into the database (SQL Server)
- Development of a database project for deployment on various servers
- Creation of queries to monitor the loading runs
- Development of a PowerShell script to automate the deployment of the SSDT projects.
- Oracle, SQL Developer, Microsoft SQL Server 2022 on-premises, SQL Server Management Studio v21, Visual Studio 2022, SSIS, SSDT, PowerShell.
Ralf Patsch
Last position:
Data Integration Consultant at AzyX Deutschland
- Led 3-month data/Cognos/IBM server integration project at IBM development center in Amsterdam, Netherlands
- Performed analysis and reporting for regional and national analyses based on automated Cognos data cubes, primarily RPM data (wholesale/KPI development)
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
Evrim İlden
Last position:
T-SQL Database Expert at TST Logistics IT
- Implemented source code management for existing databases using SSDT and Bitbucket
- Implemented continuous integration pipelines with Azure DevOps
- Supported implementation of user stories (T-SQL and VBA) for existing database systems
Ben Spouse
Last position:
Data Engineer/ ETL Developer at Deutsche Bahn
- Developed data extraction from PostgreSQL with Talend ETL tool
- Developed SQL/PL SQL scripts and views as required for ETL process
- Used the GIT repository together with the existing CI/CD process for testing and production deployment
- Created and updated multiple complex ETL jobs for mapping tarif data into SQLite files for the Input Pool
- Extracted and transformed source data via an H2 DB into SQLite for MT and ticket machines
- Collaborated closely with requirements engineers and data managers in an Agile environment
Discover over 15,000 top freelancers
ETL Developers statistics
Aggregated from the professional profiles of matched freelancers.
Experience
26 years
Position duration
2.9 years
Positions per freelancer
17
Top business areas
Business Intelligence, Information Technology, Project Management
Top industries
Information Technology, Banking and Finance, Insurance
Certification focus areas
Information Technology, Business Intelligence, Legal
Bachelor's degree or higher
88%
Master's degree or higher
75%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 24 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this role 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 for ETL Developers
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 24 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the role
What they build
ETL Developers design and maintain the pipelines that move data from source systems into analytics, reporting, and operational platforms. They handle extraction, transformation, loading, validation, and error handling. The work is about reliable data flow, clear mapping rules, and clean delivery into the target system.
- Build batch or near-real-time ETL pipelines
- Map source fields to warehouse or lake structures
- Clean, standardize, and enrich raw data
- Add logging, monitoring, and recovery steps
- Support testing, reconciliation, and data checks
Core skills
A strong ETL Developer combines SQL fluency with a solid grasp of data modeling and pipeline logic. Many also work with Python, scripting, orchestration tools, and cloud data services. They understand how to keep transformations readable, traceable, and easy to maintain.
- SQL for joins, transformations, and performance tuning
- Python or similar scripting for automation and custom logic
- ETL and ELT tools such as Informatica, Talend, SSIS, dbt, or Azure Data Factory
- Data warehouse concepts, staging layers, and dimensional models
- File formats, APIs, databases, and source system quirks
When companies bring one in
Companies usually hire freelance ETL specialists when a migration is urgent, a data platform is behind schedule, or internal teams need extra hands for a specific build. They are useful when source systems are messy, business rules are changing, or reporting depends on trusted pipelines. In Germany, they are often brought into manufacturing, finance, logistics, and enterprise IT teams that work with mixed system landscapes.
- New warehouse or lakehouse implementation
- SAP, ERP, CRM, or legacy system integration
- Cloud migration from on-prem data flows
- Repair of broken jobs or inconsistent reporting
- Temporary support during peak delivery phases
What good looks like
Strong ETL developers do more than move data. They ask where the data comes from, how it will be used, and how failures will be noticed. They document mappings clearly, write maintainable code, and keep a close eye on performance, auditability, and data quality.
For companies, the best sign is simple: fewer manual fixes and fewer surprises in downstream reports. For freelancers, credibility comes from clean handovers, structured communication, and the ability to work with data engineers, analysts, and business owners without slowing the project down.
Frequently asked questions
Curious about ETL Developers? Here are the answers that come up again and again.
A ETL Developer builds the data flows that extract information from source systems, transform it into the required structure, and load it into a warehouse, lake, or reporting layer. The work often includes source-to-target mapping, validation rules, error handling, and job scheduling. In practice, the goal is stable data that downstream teams can trust.
Look for strong SQL, clear data modeling skills, and practical experience with pipeline tools and scripting. A good ETL developer also understands data quality checks, logging, and performance tuning. If your stack is cloud-based or includes SAP, ERP, or legacy systems, that experience matters too.
A data engineer often owns a broader platform, including streaming, infrastructure, and shared data services. An ETL developer is usually focused on the pipeline logic itself: moving, cleaning, and shaping data between systems. In smaller projects, the titles overlap, and one person may cover both areas.
Freelance help fits well when the work is project-based, time-sensitive, or tied to a migration or system rollout. It also makes sense when your team needs extra capacity for a specific tool or source system. A freelancer can join fast, deliver the pipeline, and hand it over cleanly.
Most ETL Developer work can be done remotely because the core tasks are design, coding, testing, and documentation. On-site time can help during discovery workshops, source system reviews, or when the team needs close coordination with business users. In Germany, many clients use a hybrid setup for that reason.
Common tools include SQL-based ETL, Python, Informatica, Talend, SSIS, dbt, Azure Data Factory, and similar orchestration or integration tools. The exact stack depends on your environment, whether you are working in a cloud warehouse, a data lake, or a traditional BI setup. A good candidate can adapt without forcing every project into one pattern.
A strong ETL Developer leaves behind pipelines that are understandable, testable, and easy to operate. Look for clear mappings, sensible error handling, good naming, and documentation that explains business rules. Quality shows up when the data is correct and the team does not need constant manual fixes.
A careful ETL Developer should ask about source systems, target models, data volumes, refresh timing, and who owns business rules. They should also clarify test data, access rights, deployment steps, and how failures are handled. That prevents delays and keeps the implementation aligned with the client’s real process.
The average hourly rate for ETL Developers in Germany is 101 €, which corresponds to a daily rate of about 808 € based on an 8-hour working day.
Of the freelancers working as ETL Developers in Germany, 88% hold at least a Bachelor's degree and 75% hold at least a Master's degree.
On average, freelancers working as ETL Developers in Germany have 26 years of professional experience, with a single engagement typically lasting around 2.9 years.
The most common languages among freelancers working as ETL Developers in Germany are German (100%), English (90%), and French (30%).
The most common industries among freelancers working as ETL Developers in Germany are Information Technology (90%), Banking and Finance (60%), and Insurance (60%).
The most common business areas among freelancers working as ETL Developers in Germany are Business Intelligence (100%), Information Technology (100%), and Project Management (60%).
FRATCH ETL Developers main locations
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
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
