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ETL Experts in Austria

in minutes from over 15,000 CVs with the power of AI.

Hire experts who design ETL pipelines, clean and transform source data, and connect warehouses, lakes, and reporting tools. Get fast, precise matching with vetted, available freelancers.

Meet FRATCH Experts in Austria, who have recently used ETL

Verified expert

Stefan Maxones

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Senior SAP Architect | Enterprise Analytics & Data Architecture

Bisamberg
Stefan Maxones

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
Verified expert

Stefan Dangubic

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BI Consultant in Controlling

Wien
Stefan Dangubic

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)
Verified expert

Marcel Steger

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Senior AI Engineer

Vienna
Marcel Steger

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.
Verified expert

Immo Mohrenschildt

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Senior Business Analyst/Specialist Power BI

Graz
Immo Mohrenschildt

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
Verified expert

Elija Lechner

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Founder

Graz
Elija Lechner

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
Verified expert

Christoph Quereser

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IT Consultant with Focus on Business Process Optimization

Christoph Quereser

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
Verified expert

Daniel Auferbauer

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Solution Architect and Fullstack Developer

Wien
Daniel Auferbauer

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.
Verified expert

Fabio Galvagni

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IT Architect, Requirements Analyst and Consultant

Vienna
Fabio Galvagni

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
Verified expert

Hossein Adibpouya

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Data Engineer · Microsoft Fabric Specialist · Analyst · Automation Expert

Linz
Hossein Adibpouya

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.
Verified expert

Michael Gonschor

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Scrummaster

Wien
Michael Gonschor

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

Verified expert

Benjamin Auer

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Program / Project Management

Wien
Benjamin Auer

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)
Verified expert

Gerald Gastgeb

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Data Warehouse Architect and Lead Data Modeler

Wien
Gerald Gastgeb

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
Verified expert

Octavian Golea

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DWH Technical Analyst

Vienna
Octavian Golea

Last position:

Oracle DWH Analyst at Infomotion Gmbh

Oracle PL/SQL, Oracle SQL, ITIL

Verified expert

Kevin Lang

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Data Engineering & DWH Data Engineering Environment

Wien
Kevin Lang

Last position:

Data Consultant at VBV Pension and Provident Fund Austria

Development of a structured framework and comprehensive guidelines for documenting business and audit processes in a regulated financial environment. Support for the standardization of 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.

Discover over 15,000 top freelancers

Statistics of experts using ETL

Aggregated from the professional profiles of matched freelancers.

Experience

18 years

Position duration

2.4 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

88%

Master's degree or higher

69%

Doctorate

13%

Certifications per freelancer

3

Most common languages

German, English, Italian

Speak two or more languages

94%

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 2 4 6 8
<€480 €480-​640 €640-​800 €800-​960 €960-​1120 €1120+

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.

1000
750
500
250
Rate comparison chart
Daily rate avg. 879 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 840 €

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

ETL work

ETL stands for extract, transform, load. It moves data from source systems into a target store where reporting, analytics, and downstream apps can use it. Strong experts design flows that are reliable, traceable, and easy to change.

Typical tasks

  • Pull data from APIs, databases, files, and event streams
  • Clean, map, and validate source records
  • Load into data warehouses, lakes, or marts
  • Set up schedules, retries, and error handling
  • Document lineage and field logic

Tooling and stack

ETL specialists often work with tools such as Talend, Informatica PowerCenter, SSIS, dbt for transformation, and cloud services in AWS, Azure, or Google Cloud. They also use SQL, Python, and orchestration tools like Airflow to keep pipelines consistent.

When to bring in help

Companies usually need freelance ETL expertise when data is spread across many systems, a migration is underway, or existing jobs fail too often. In Austria, this often comes up in finance, manufacturing, logistics, and SaaS teams that need clean data for reporting across locations.

What strong experts do

A solid ETL professional thinks about source quality, target schema, load windows, and auditability before writing jobs. They handle incremental loads, deduplication, slowly changing dimensions, and failure recovery without creating fragile flows. Clear communication with analysts and data owners matters as much as tool knowledge.

Good project fit

  • New warehouse feed or reporting layer
  • Migration from legacy ETL to modern pipelines
  • Broken jobs, late loads, or data mismatch issues
  • Need for better documentation and handover
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Frequently asked questions

What clients ask us most about ETL — answered in short.

ETL is used to move data from source systems into a target store that teams can trust for reporting, analysis, and operational use. It is common when data comes from CRM, ERP, product databases, and files that do not share the same structure. Good ETL work also adds validation so bad records do not silently enter the target system.

ETL transforms data before it is loaded, while ELT loads first and transforms inside the target platform. ETL is often preferred when the source data needs heavy cleaning, rule-based mapping, or strict control before it lands. ELT is common in modern cloud warehouses, but the right choice depends on governance, volume, and target tooling.

A strong ETL specialist usually knows SQL, data modeling, and at least one orchestration or integration tool. Common adjacent skills include Python, shell scripting, Airflow, cloud storage, and warehouse platforms such as Snowflake, BigQuery, or Azure Synapse. They should also understand error handling, logging, and lineage.

If loads are late, reports do not match source systems, or every change breaks downstream jobs, you likely need ETL help. Other signs are unclear mapping rules, duplicated logic across pipelines, or a migration from a legacy integration stack. A specialist can stabilize the flow and make the logic easier to maintain.

That depends on the task. A routine file load or a simple warehouse feed may fit a mid-level ETL specialist, while a migration, multi-source integration, or regulated data flow needs someone who has done it before. For critical systems, ask for concrete examples of similar pipelines and recovery work.

Yes, most ETL work can be done remotely because the core tasks are design, coding, testing, and documentation. For Austria-based teams, remote collaboration works well if source owners, analysts, and the freelancer agree on access, naming rules, and review steps. On-site time is mainly useful for workshops or sensitive environments.

Look for clear pipeline design, not just tool familiarity. A strong ETL professional explains source-to-target mapping, handles failures cleanly, and leaves readable jobs with proper logging and tests. Ask how they manage late-arriving data, duplicates, schema changes, and handover to the next team.

Yes. ETL is still important whenever source data must be standardized before it reaches a warehouse, lake, or reporting layer. Even in cloud setups, teams often need controlled transformation, quality checks, and repeatable loads. The toolset may change, but the workflow remains central.

The average hourly rate of freelancers in Austria who have used ETL in their recent projects is 110 €, which corresponds to a daily rate of about 879 € based on an 8-hour working day.

Of the freelancers in Austria who have used ETL in their recent projects, 88% hold at least a Bachelor's degree, 69% hold at least a Master's degree, and 13% 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 2.4 years.

The most common languages among freelancers in Austria who have used ETL in their recent projects are German (100%), English (94%), and Italian (22%).

The most common industries among freelancers in Austria who have used ETL in their recent projects are Information Technology (83%), Banking and Finance (67%), and Retail (61%).

The most common business areas among freelancers in Austria who have used ETL in their recent projects are Information Technology (100%), Business Intelligence (94%), and Project Management (72%).

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.

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FRATCH CEO

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