Data Engineer in Austria
in minutes from over 15,000 CVs with the power of AIBuild 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.
Meet FRATCH Data Engineers in Austria
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
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).
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
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.
Octavian G.
Last position:
Oracle DWH Analyst at Infomotion Gmbh
Oracle PL/SQL, Oracle SQL, ITIL
Kevin L.
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.
Michael H.
Last position:
Interim Lead Developer DWH at Insurance
- Technical leadership of the development for a near real-time data warehouse of an insurance company
- Ensure stable operation
- Analyze and fix errors for ongoing operations
- Optimize and tune SQL queries and ETL jobs
- Revise scheduling in Automic (UC4)
- Coordinate with business units and external clients for further developments
- Data modeling and programming for sales management
- Tune PostgreSQL queries and functions for balance data queries
- Create hotfixes and releases
- Plan and coordinate deployments
- Execute test runs and analyze the results
- Handover activities to internal teams
Raphael G.
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
Gasper Z.
Last position:
Senior BI Consultant at PMONE GmbH
Discover over 15,000 top freelancers
Data Engineers statistics
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
3.7 years
Positions per freelancer
9
Top business areas
Business Intelligence, Information Technology, Operations
Top industries
Information Technology, Retail, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
75%
Master's degree or higher
63%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
89%
Based on our profile pool as of 16 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this role 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.
Discover detailed Data Engineers rate benchmarks:
Explore rate insightsAverage rates for Data Engineers in Austria
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 16 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Data Engineers 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 (67%)
- Retail (56%)
- Banking and Finance (44%)
- Manufacturing (33%)
- Education (22%)
- Insurance (22%)
- Transportation (22%)
- Media and Entertainment (22%)
Please note that freelancers can work across multiple industries, so percentages overlap.
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.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Data Engineers.
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 94 €, which corresponds to a daily rate of about 753 € based on an 8-hour working day.
Of the freelancers working as Data Engineers in Austria, 75% hold at least a Bachelor's degree and 63% hold at least a Master's degree.
On average, freelancers working as Data Engineers in Austria have 15 years of professional experience, with a single engagement typically lasting around 3.7 years.
The most common languages among freelancers working as Data Engineers in Austria are German (100%), English (89%), and French (22%).
The most common industries among freelancers working as Data Engineers in Austria are Information Technology (67%), Retail (56%), and Banking and Finance (44%).
The most common business areas among freelancers working as Data Engineers in Austria are Business Intelligence (100%), Information Technology (100%), and Operations (67%).
FRATCH Data Engineers main locations
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:
- Germany
- Austria
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Philipp Thomaschewski
FRATCH CEO
