Find the perfect Data Engineer in Austria in minutes from over 15,000 CVs with the power of AI
Build scalable data pipelines, design modern data warehouses, and optimize your cloud infrastructure. Get matched instantly with vetted, available freelance data engineering experts tailored to your technical stack.
About the role
Developing Robust Data Pipelines
Data engineers build the infrastructure that allows businesses to access and analyze their data. They design, construct, and maintain automated data pipelines that extract raw information from various sources, transform it into a structured format, and load it into target systems. This process ensures that data is clean, reliable, and readily available for analysts and machine learning models.
Core Technologies and Modern Stack
Key Deliverables in Freelance Projects
- High-performance ETL/ELT pipelines designed for specific business needs
- Scalable data warehouse architecture using modern cloud solutions
- Integrated data lakes for storing structured and unstructured data
- Automated monitoring systems for data quality and pipeline uptime
- Migration of legacy on-premises databases to cloud-based systems
Integrating into Austrian Engineering Teams
Freelance data professionals in Austria integrate into existing IT teams, working closely with local software developers and business analysts. While cloud migrations and pipeline setups are often handled remotely, periodic on-site workshops in cities like Vienna, Linz, or Graz help align technical architectures with regional compliance standard, particularly regarding GDPR. Excellent command of English is standard, and professional German is frequently requested to navigate local business systems and documentation.
Meet FRATCH Data Engineers
Octavian Golea
DWH Technical Analyst
Last position:
Oracle DWH Analyst at Infomotion Gmbh
Oracle PL/SQL, Oracle SQL, ITIL
Hossein Adibpouya
Data Engineer · Microsoft Fabric Specialist · Analyst · Automation Expert
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.
Karl Forstner
Software / Data Engineer
Last position:
Automated development of processes for XML invoice formats at CIO.pro e.U.
- Automated reading and validation of XML invoice formats (e.g. ebInterface, UBL, EBOR)
- Structured transfer of data to an ERP system
- Implementation with .NET and C#
Kevin Lang
Data Engineering & DWH Data Engineering Environment
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.
Raphael Gwiggner
Software Developer, ERP Consultant, Data Warehouse Engineer and Document/Workflow Management System Creator
Last position:
Software Developer, ERP Consultant, Data Warehouse Engineer and Document/Workflow Management System Creator at hoferdigital gmbh
- Ruby Rails, Python, React, CakePHP
- ERP consultant for various companies (Software: VenDoc)
- Constructed and managed data warehouses using MS SQL, Azure, SSDT, Power BI, Report Designer
- Managed and evaluated workflow and productivity, making changes where necessary
- Automated workflows to increase efficiency, e.g., invoice audit with OCR captures
Discover over 15,000 top freelancers
Data Engineers statistics
Typical experience
10 years
Average project duration
3 years
Certifications per freelancer
3
Top business areas
Business Intelligence, Information Technology, Operations
Top industries
Information Technology, Retail, Transportation
Most common languages
German, English, Persian
Bachelor's degree or higher
100%
Master's degree or higher
80%
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. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Average rates for Data Engineers & Seniority distribution
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.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Frequently Asked Questions
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A freelance Data Engineer designs, builds, and maintains the systems that move and transform raw data into usable information. They develop automated pipelines, set up data warehouses, and optimize databases to ensure that business analysts and data scientists have reliable access to high-quality data.
While a Data Engineer focuses on the architecture, pipelines, and reliability of data delivery, a data scientist uses that prepared data to build predictive models and extract business insights. Engineers build the foundation, while scientists analyze the output.
A professional data pipeline developer typically works with Python, Scala, or SQL. They leverage modern cloud platforms like AWS, Azure, or Google Cloud, along with orchestration tools such as Apache Airflow, and data transformation frameworks like dbt.
Your company should bring in a freelance Data Engineer when you experience slow database queries, broken data pipelines, or when you are planning to migrate your data infrastructure to the cloud. They provide immediate technical expertise for intensive project phases without the long-term overhead of a permanent hire.
Yes, most data infrastructure engineers in Austria work highly effectively in a remote setup. They utilize secure VPNs and cloud access to manage your systems, though some clients prefer a hybrid model with initial on-site alignment meetings in hubs like Vienna or Salzburg.
A database administrator focuses on maintaining, securing, and tuning existing database systems. In contrast, a data integration specialist design complex systems that move data across multiple different platforms, handling both structured and unstructured data streams at scale.
You can assess a data engineering consultant by looking at their past project portfolio, specifically their experience with similar data volumes and cloud environments. Strong candidates demonstrate deep knowledge of system architecture, data modeling principles, and write clean, maintainable code.
A Data Engineer in Austria must design systems that comply strictly with GDPR regulations. This includes implementing proper data masking, access controls, and ensuring that storage servers are located within compliant geographic boundaries.
The average hourly rate for Data Engineers in Austria is 83 €, which corresponds to a daily rate of about 665 € based on an 8-hour working day.
Of the freelancers working as Data Engineers in Austria, 100% hold at least a Bachelor's degree and 80% hold at least a Master's degree.
On average, freelancers working as Data Engineers in Austria have 10 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers working as Data Engineers in Austria are German (100%), English (100%), and Persian (17%).
The most common industries among freelancers working as Data Engineers in Austria are Information Technology (83%), Retail (50%), and Transportation (33%).
The most common business areas among freelancers working as Data Engineers in Austria are Business Intelligence (100%), Information Technology (100%), and Operations (67%).
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Philipp Thomaschewski
FRATCH CEO
