ETL Experts in Austria
matched in minutes from over 15,000 CVs with the power of AIHire experts who design reliable data pipelines, connect business systems and prepare data warehouses with tools such as Talend, Informatica, Apache NiFi and Airflow. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Austria, who have recently used ETL
Alexander P.
Last position:
Owner & Lecturer at Own company for AI governance and data products, Vienna
- Consulting and interim management at the interface between IT operations and regulation
- Impact analysis and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
- Supervision of master’s theses and participation in the examination board
- Presentations for business and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and zero-knowledge encryption, cloud-native on EU infrastructure
- MLOps and AIOps in live operations
- Own applications under own brand: shared codebase, separate delivery for each target device
- AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Publications on data sovereignty, cloud economics and industrial image processing
- AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics
Karl F.
Last position:
ONECEPT Website at ONECEPT GmbH
Development and implementation of the website onecept.at using React/Next.js. Focus on responsive web design, high-performance component structure, basic SEO optimization, and technical deployment.
Technologies: React, Next.js, TypeScript / JavaScript
Stefan M.
Last position:
SAP Architect at Manufacturing Industry
SAP Business Data Cloud / Datasphere rollout
Technologies: SAP Datasphere | SAP BTP | SAP Analytics Cloud | ETL / ELT | Security & Governance
Tasks / Responsibilities:
- Designing and implementing data architectures in SAP Business Data Cloud / Datasphere
- Designing spaces, data products, and data flows for integrated data models
- Connecting SAP and non-SAP systems via SDI, ODP, APIs
- Integration with SAP Analytics Cloud for self-service analytics
- Building governance, security, and authorization concepts
- Creating architecture guidelines & performance optimization
Results / Achievements:
- Introduced a central data catalog & authorization concept
- Laid the foundation for self-service analytics
Stefan D.
Last position:
BI Consultant in Controlling at Reutter GmbH
- Extraction, transformation, and cleansing of data from Microsoft Dynamics AX
- Creation of sales reports in Power BI
- Training employees in business intelligence
- Technologies: Power BI, SQL, SQL Server Integration Services (SSIS)
Stefania D.
Last position:
Data Engineer at Storebox
Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI
Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine
- Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
- Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
- Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
- Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
- Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
- Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
- Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).
Marcel S.
Last position:
Senior AI Engineer - Python at Insurance Company
Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock
Achievements:
- Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
- Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
- Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
- Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.
Immo M.
Last position:
Interim Manager/Management Consultant at Austrian regional energy supplier
Further development of the data analytics system landscape based on MS Power BI
- Concept and development of ETL processes, primary data source SAP IS/U incl. extraction via Theobald extractors to Azure Synapse, support with SAP S/4 conversion
- Support in the concept and development of data models in Azure Synapse Analytics
- Gathering and implementation of requirements in the data analytics area from internal business units
- Identification, documentation and analysis of existing as well as cross-functional processes
- Data definition, data modeling & preparation as well as source selection for merging data from differently structured data sources
- Design of reports and dashboards based on MS Power BI
- Transfer of reporting processes from existing structures to MS Power BI Premium (PPU)
- Hands-on development and implementation of analyses, reports and dashboards based on Microsoft Power BI
- Power Apps for write-back processes from Power BI Premium to Azure SQL DB
- Power BI support as part of the SAP S/4 conversion
- Cooperation with internal business units and external development partners
- Coaching/training, documentation, development processes
Elija L.
Last position:
Fujitsu Germany
- Supporting and helping shape the setup and further development of a company-wide HUB system in the Fujitsu environment for integrating a wide range of data sources and applications in an international context
- Designing and implementing data modeling, ETL processes, reporting, and data quality management
Christoph Q.
Last position:
Managing Director at Stage-IT
optimizing business processes
IT consulting
- ERP
- intralogistics process
- production planning process
- Sales (wholesale, online, B2B B2C)
- product information management
- business intelligence
implementation
- interfaces (SAP, EDI, Databases, ERP, ...)
- ETL processes
- BI Reports
Daniel A.
Last position:
Solution Architect and Fullstack Developer at IoT Sensor Data Processing and Evaluation
- Develop a concept for the analysis of sensor data.
- Assess implementation options, products, and pricing in Azure.
- Present and advocate the solution concept to the client.
- Implement an ETL pipeline for processing sensor data.
- Integrate BI solutions with the data repository.
- Provide documentation and support for end users.
Fabio G.
Last position:
IT Architect, Requirements Analyst and Consultant at CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
Hossein A.
Last position:
Datawarehouse Consultant at LENZING AG
- Consulting on the enterprise data-warehouse and reporting practice at one of Austria's largest industrial groups.
- Designing and standardizing Power BI dashboards and data-visualization governance for company-wide enterprise reporting.
- Developing a WCAG-compliant, colorblind-safe visualization standard (Okabe-Ito palette) to harmonize dashboards across the organization.
Michael G.
Last position:
Scrummaster at Xenovo
Planning and monitoring sprints and holding the scheduled meetings
Analyzing and resolving issues in the development process
Error analysis, bug management and correction in individual process steps
Stakeholder management
Documentation and improvement of the development process
Tools: JIRA, Confluence
Benjamin A.
Last position:
Multi-Project Manager at Trading Company
- Setup of a new Data Warehouse (Budget ~€15M 2025 – 2026)
- Backend modernization project (Budget ~€5M 2025 – 2026)
- Standard software rollout with custom programming (Budget ~€9M 2025 – 2026)
Gerald G.
Last position:
Data Design Authority at Department of Government Enablement
- Responsible for realigning the data architecture of the Abu Dhabi government to achieve a fully AI-driven public administration
- Definition of modeling standards
- Creation of a conceptual and logical model for the entire Abu Dhabi government administration
- Definition of data quality and data security standards
Discover over 15,000 top freelancers
Statistics of experts using ETL
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.5 years
Positions per freelancer
14
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
89%
Master's degree or higher
72%
Doctorate
11%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
95%
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 Austria 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 Austria using ETL
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.
ETL 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 (80%)
- Banking and Finance (70%)
- Retail (60%)
- Education (45%)
- Manufacturing (45%)
- Transportation (40%)
- Professional Services (40%)
- Energy (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
ETL foundations
ETL stands for Extract, Transform, Load. It moves data from operational sources such as ERP systems, CRM platforms, APIs, files and databases into a warehouse, lake or reporting environment. During transformation, records are cleaned, mapped, validated and enriched so teams can use consistent information for analysis and operations.
Data pipeline work
ETL specialists create batch and near-real-time pipelines that connect systems without losing context or control. Typical deliverables include:
- Source-to-target mappings and transformation rules
- Reusable ingestion and loading workflows
- Data quality checks and reconciliation steps
- Monitoring, alerts and failure recovery
- Documentation for lineage and maintenance
Tools and ecosystem
The ecosystem ranges from established integration suites such as Informatica and Talend to open-source tools including Apache NiFi and Airflow. SQL and Python are common for transformations and automation, while cloud services, APIs, change data capture and message queues support modern pipelines. ETL is often compared with ELT, where raw data is loaded first and transformed inside the target platform.
When expertise matters
Companies bring in freelance ETL experts when a migration, reporting initiative or system rollout creates more integration work than the internal team can absorb. They can replace fragile scripts, consolidate sources, improve warehouse loads or prepare a governed data foundation. In Austria, projects may involve distributed teams, local business processes and communication in both English and German.
Reliable delivery
Strong professionals start with source profiling and clear ownership of business definitions. They design for idempotent runs, incremental loading, schema changes, duplicate handling and secure access rather than focusing only on a successful first load. They also test edge cases, measure pipeline health and leave practical runbooks behind.
Choosing a specialist
Look for evidence of comparable source systems, target platforms and data volumes rather than a tool name alone. Ask how the specialist handles failed jobs, late-arriving records, sensitive fields and changes in upstream schemas. For remote or on-site work in Austria, agree early on working language, access procedures, collaboration hours and handover expectations.
Frequently asked questions
What clients ask us most about ETL — answered in short.
ETL is used to extract data from operational sources, transform it into a consistent structure and load it into a warehouse, lake or reporting system. Companies use it for analytics, regulatory reporting, system migrations, customer data consolidation and recurring business dashboards.
ETL transforms data before loading it into the target system, while ELT loads raw data first and performs transformations inside the warehouse or lake. The better approach depends on platform capabilities, governance needs, latency expectations and how much raw data must be retained.
ETL work may involve Informatica, Talend, Apache NiFi, SSIS or cloud-native integration services. Useful adjacent skills include SQL, Python, API integration, data modelling, Airflow orchestration, change data capture and warehouse technologies.
A strong ETL freelancer should have delivered pipelines similar to the project’s source systems, target environment and operational demands. The key question is not a fixed duration of experience, but whether they can show sound choices around data quality, incremental loads, recovery and documentation.
ETL projects are often suitable for remote collaboration because pipeline design, testing and documentation can be performed securely online. On-site workshops may still help with legacy systems, access constraints or business-process discovery, while German and English language expectations should be agreed in advance.
Ask an ETL specialist to explain a comparable pipeline from source discovery through monitoring and handover. Good answers cover reconciliation, schema changes, sensitive data, failed runs and how business users can verify that the result is complete and accurate.
ETL projects can fail when source definitions are unclear, transformations are undocumented or pipelines are tested only with ideal data. Other risks include duplicate records, missed updates, weak credentials, silent job failures and target schemas that cannot support future changes.
A company should consider a freelance ETL specialist when it is integrating several systems, migrating to a new warehouse, replacing brittle scripts or facing a demanding reporting deadline. An external professional can add focused delivery capacity while transferring operating knowledge to the internal team.
The average hourly rate of freelancers in Austria who have used ETL in their recent projects is 108 €, which corresponds to a daily rate of about 863 € based on an 8-hour working day.
Of the freelancers in Austria who have used ETL in their recent projects, 89% hold at least a Bachelor's degree, 72% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Austria who have used ETL in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Austria who have used ETL in their recent projects are German (100%), English (95%), and French (25%).
The most common industries among freelancers in Austria who have used ETL in their recent projects are Information Technology (80%), Banking and Finance (70%), and Retail (60%).
The most common business areas among freelancers in Austria who have used ETL in their recent projects are Information Technology (100%), Business Intelligence (95%), and Project Management (70%).
Main locations of FRATCH Experts, who have recently used ETL
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.
Vienna Graz 
Vienna Countries:
- Germany
- Austria
- Switzerland
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FRATCH CEO
