ETL Experts in Vienna
to turn complex data into trusted decisions, matched in minutes with the power of AIHire experts who design reliable data pipelines, integrate warehouse and cloud sources, and automate transformation and validation workflows. FRATCH matches you quickly and precisely with vetted, available freelancers for your ETL project.
Meet FRATCH Experts in Vienna, 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
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.
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.
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
Kevin L.
Last position:
Data Consultant at VBV Pensions- und Vorsorgekasse Österreich
Development of a structured framework and comprehensive guidelines for documenting business and audit processes in a regulated financial environment. Support in standardizing process documentation to improve transparency, consistency, and traceability across all operational workflows. Contribution to defining documentation standards, templates, and governance principles for internal process management and audit readiness.
Gasper Z.
Last position:
Senior BI Consultant at PMONE GmbH
Discover over 15,000 top freelancers
Statistics of experts using ETL
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2.4 years
Positions per freelancer
14
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100%
Master's degree or higher
85%
Doctorate
15%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100%
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 Vienna 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 Vienna 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 (86%)
- Banking and Finance (79%)
- Professional Services (57%)
- Retail (50%)
- Education (43%)
- Transportation (43%)
- Manufacturing (43%)
- Government and Administration (43%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What ETL does
ETL stands for extract, transform, load. It moves data from operational systems into a warehouse, lake or reporting environment, while applying rules that make the data usable and consistent. Experts define how information is collected, cleaned, mapped and loaded for analytics, compliance and business operations.
Typical data flows
ETL supports recurring pipelines across finance, retail, logistics, healthcare and manufacturing. Common deliverables include:
- Extracting data from databases, APIs, files and business applications
- Transforming formats, joining sources and applying business rules
- Loading curated data into warehouses, data lakes and marts
- Scheduling, monitoring and documenting production workflows
Tools and ecosystem
The right stack depends on data volume, latency, governance and existing systems. Professionals may work with tools such as Apache Airflow, dbt, Talend, Informatica, SSIS, Pentaho or cloud-native services from AWS, Microsoft Azure and Google Cloud. SQL, Python, APIs, Git, containers and orchestration are often part of the wider delivery.
When expertise matters
Companies bring in freelance ETL expertise when pipelines are unreliable, reporting definitions conflict or a migration needs careful control. A specialist can assess source systems, establish reusable transformation patterns and improve observability without disrupting daily operations. In Vienna, local teams may also value on-site workshops alongside remote delivery across distributed data groups.
Quality signals
Strong professionals model dependencies clearly and treat data quality as a core deliverable. They define validation checks, reject or quarantine faulty records, handle retries and make failures easy to investigate. They also document lineage, ownership and assumptions so that another team can maintain the pipeline after handover.
Project collaboration
A successful engagement starts with clear source inventories, target schemas, refresh requirements and acceptance rules. Experienced specialists ask how sensitive data is accessed, how changes are approved and who owns production support. They can collaborate remotely or on site in Vienna, with communication adapted to the project team and its language needs.
Frequently asked questions
Need clarity? These are the questions we hear most often about ETL.
ETL is used to extract data from source systems, transform it into a consistent structure and load it into a warehouse, lake or reporting database. Companies use it for analytics, recurring reports, data migration and controlled operational data flows.
ETL transforms data before loading it into the target system. ELT loads raw data first and performs transformations inside the warehouse or lake, which can suit scalable cloud environments; the better choice depends on governance, processing needs and the target architecture.
ETL work often requires strong SQL, data modelling and source-system analysis. Useful adjacent skills include Python, API integration, cloud storage, orchestration with Apache Airflow, version control, testing, monitoring and data governance.
ETL project needs vary with source complexity, business rules and operational risk. A small, well-defined pipeline may need focused support, while a migration across many systems calls for a professional who has handled lineage, testing, failure recovery and production handover.
ETL work can usually be delivered remotely when secure access, documentation and communication are in place. On-site workshops in Vienna can help with source discovery, stakeholder alignment or handover, especially when several local teams own different systems.
ETL quality is visible in accurate outputs, repeatable runs and clear handling of bad data. Ask for evidence of validation rules, reconciliation checks, monitoring, lineage, documentation and recovery procedures rather than reviewing only a successful sample load.
ETL tools such as Talend and Informatica can help when teams need visual workflow design, connectors, governance and managed operations. A professional should still compare them with SQL, Python, dbt or cloud services against maintainability, team skills and the required level of control.
ETL specialists should clarify source ownership, schemas, data volumes, refresh windows, target models and acceptance criteria. They should also confirm access controls, sensitive fields, deployment practices, support responsibilities and how changes to upstream systems will be communicated.
The average hourly rate of freelancers in Vienna, Austria who have used ETL in their recent projects is 104 €, which corresponds to a daily rate of about 831 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used ETL in their recent projects, 100% hold at least a Bachelor's degree, 85% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Vienna, Austria who have used ETL in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Vienna, Austria who have used ETL in their recent projects are German (100%), English (100%), and French (36%).
The most common industries among freelancers in Vienna, Austria who have used ETL in their recent projects are Information Technology (86%), Banking and Finance (79%), and Professional Services (57%).
The most common business areas among freelancers in Vienna, Austria who have used ETL in their recent projects are Information Technology (100%), Business Intelligence (93%), and Project Management (79%).
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.
Countries:
Vienna 
Graz Request a free demo
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Philipp Thomaschewski
FRATCH CEO
