ETL Experts in Austria
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Meet FRATCH Experts in Austria, who have recently used ETL
Alexander P.
Last position:
Owner & Lecturer at Artellico / Own company for AI governance and data products
- Consulting and interim management at the intersection of IT operations and regulation
- Impact assessment 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
- Teaching assignments in Data & Information Management and Human-Machine Interaction at Hochschule Burgenland, since 2023
- Supervision of Master's theses and participation on examination boards
- Industry talks for businesses 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
- Integration with bank account systems using SEPA direct debit mandates and message formats under ISO 20022 (pain.008, camt.053)
- MLOps and AIOps in live operations
- Own applications under my own brand: shared codebase, separate deployment for each target device
- AI-assisted software development (vibe-coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Professional publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Professional 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
Octavian G.
Last position:
Oracle DWH Analyst at Infomotion Gmbh
Oracle PL/SQL, Oracle SQL, ITIL
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)
Elija L.
Last position:
Fujitsu Deutschland
- Supporting and helping shape the development 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
- Design and implementation of data modeling, ETL processes, reporting, and data quality management
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
Laura H.
Last position:
Sr. BI Consultant & Project Manager at Multivariata
- Project Lead, Sr. BI Expert, Data Scientist, Automation Engineer for Marketing Analytics | Customer Insights (retail, e-commerce)
- Product Manager: Asset Metadata Ingest & Provide
- Product Owner Business Intelligence – responsible for 2 teams: cloud data engineering, data warehouse (logistics)
- Product Owner for setting up a reporting platform on Azure & Power BI (finance)
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
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.
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)
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, Project Management, Business Intelligence
Bachelor's degree or higher
90%
Master's degree or higher
70%
Doctorate
10%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
95%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Austria are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 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 (82%)
- Banking and Finance (73%)
- Retail (59%)
- Professional Services (50%)
- Education (45%)
- Transportation (41%)
- Manufacturing (41%)
- Media and Entertainment (32%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Data movement
ETL stands for extract, transform and load. It moves data from operational systems into a warehouse, lake or reporting environment, while cleaning, reshaping and validating it along the way. Typical sources include relational databases, APIs, files, SaaS tools and event feeds.
Core deliverables
ETL specialists create repeatable pipelines that turn scattered information into trusted datasets. Their work can include source analysis, transformation rules, schema design, incremental loading, reconciliation and documentation.
- Extract data from databases, APIs and files
- Transform formats, keys and business rules
- Load curated data into warehouses or lakes
- Add validation, logging and failure recovery
Tools and ecosystem
The right tooling depends on data volume, latency, governance and existing infrastructure. Common environments include Talend, Informatica, Pentaho Data Integration, Apache NiFi, SSIS and cloud services such as AWS Glue, Azure Data Factory and Google Cloud Dataflow. SQL, Python, Spark and orchestration tools often complete the stack.
When expertise matters
Companies often need freelance ETL expertise during a warehouse migration, reporting overhaul or merger of data sources. Specialists can also support legacy replacement, cloud adoption and the remediation of unreliable scheduled jobs.
- Reconcile inconsistent source records
- Replace fragile scripts or manual exports
- Improve pipeline monitoring and recovery
- Prepare data for analytics and machine learning
Strong delivery
Strong professionals clarify ownership, refresh needs and data quality expectations before building. They separate raw, transformed and serving layers, make pipelines observable and design for restartable runs. They also test edge cases, protect sensitive data and explain decisions clearly to business and technical stakeholders.
Austria collaboration
ETL projects in Austria span manufacturing, banking, insurance, retail, logistics and public services. Remote delivery works well when source access, security controls and documentation are prepared; on-site workshops can help with complex legacy systems and stakeholder alignment. German language skills may be useful for local teams, while technical work is commonly documented in English.
Frequently asked questions
What clients ask us most about ETL — answered in short.
ETL is used to collect data from multiple sources, apply consistent business rules and load the result into a warehouse, lake or reporting system. It supports dashboards, financial reporting, operational analysis, compliance workflows and machine learning preparation.
ETL transforms data before loading it into the target system, while ELT loads raw data first and transforms it inside a warehouse or lake. The better choice depends on warehouse capabilities, governance needs, transformation complexity and how quickly raw data must be available.
A strong ETL specialist usually works confidently with SQL, data modelling, APIs, relational databases and cloud storage. Useful adjacent skills include Python, Spark, orchestration, data quality testing, security controls and business intelligence tools.
The required experience depends on source complexity, data sensitivity, refresh demands and the number of systems involved. A small scheduled pipeline may need focused specialist support, while a migration or enterprise warehouse requires proven delivery across design, testing, monitoring and handover.
ETL work can often be delivered remotely from Austria when secure access, representative data and clear ownership are available. On-site sessions are valuable for discovering undocumented legacy processes, aligning business rules and coordinating teams with strict infrastructure controls.
Ask for evidence of reliable pipelines, clear data lineage and measurable validation rules. A capable specialist can explain error handling, restart behaviour, reconciliation, monitoring, deployment practices and how the solution protects sensitive information.
ETL projects may use Talend, Informatica, Pentaho Data Integration, SSIS, Apache NiFi, AWS Glue, Azure Data Factory or Google Cloud Dataflow. SQL, Python, Spark and workflow orchestration are often combined with these tools rather than used in isolation.
Before starting ETL work, clarify source systems, data owners, target models, refresh windows, access restrictions and acceptance tests. Also confirm whether the assignment covers only pipeline delivery or includes documentation, monitoring, support and knowledge transfer.
The average hourly rate of freelancers in Austria who have used ETL in their recent projects is 105 €, which corresponds to a daily rate of about 839 € based on an 8-hour working day.
Of the freelancers in Austria who have used ETL in their recent projects, 90% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 10% 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 (95%), English (95%), and French (23%).
The most common industries among freelancers in Austria who have used ETL in their recent projects are Information Technology (82%), Banking and Finance (73%), and Retail (59%).
The most common business areas among freelancers in Austria who have used ETL in their recent projects are Information Technology (100%), Business Intelligence (91%), and Project Management (68%).
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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Philipp Thomaschewski
FRATCH CEO
