Data Pipeline Experts in Austria
in minutes from over 15,000 CVs with the power of AI.Hire experts who design reliable ETL and ELT flows, wire up Airflow, dbt, Kafka, and Spark, and keep batch and streaming jobs stable. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Austria, who have recently used Data Pipeline
Karl Forstner
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
Manuel Pasieka
Last position:
AI Engineer at Misumi Europe GmbH & Motius GmbH
- Designed and built a next-generation NLP platform to accelerate sales-driven customer service through intelligent request analysis and routing, reducing average customer query response time by 30%.
- Architected a hybrid NLP system combining Large Language Models (LLMs) with traditional NLP pipelines for robust, explainable results.
- Developed request classification and routing mechanisms to accelerate customer support teams in handling customer queries faster and more accurately.
- Optimized LLM based data extraction and classification with context engineering.
- Integrated the platform into customer service processes, reducing response times and enhancing workforce efficiency.
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.
Nikolaus Jäger-Grassl
Last position:
Solution Architect at HIT Baumärkte
- Leading high-impact retail digital transformation focused on data integration, app integration, and next-generation customer engagement strategies.
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.
Elija Lechner
Last position:
Consultant at Fujitsu Deutschland Mediashop GmbH
- Support and co-design of the development and evolution of an enterprise-wide HUB system for integrating various data warehouse and BI systems as well as data sources and applications in an international context
- Consulting and analysis in the area of enterprise-wide data and BI systems, including organizational structure, data flows, system landscapes, architecture, and strategic data integration
- Data modeling, ETL processes, reporting, and data quality management
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.
Armin Fanzott
Last position:
Head of AI & Data Science at Ascent DACH
- Lead architect for AI and ML projects including GenAI, LLM-based apps and forecasting solutions
- Guided customers through solution scoping, architecture design, and PoCs across various industries (Pharma, Insurance, Logistics, FMCG)
- Delivered production ML pipelines using Azure ML, MLflow, and MLOps best practices
- Responsible for effort estimation, delivery and staffing of 5 – 10 projects simultaneously
- Hiring manager for the data science and AI team and responsible for creating the technological offering and roadmap in the AI & Data Science space
- Built and scaled the AI/Data Science service offering from scratch to a high 6-figure annual revenue with 30+ successful deliveries and 20+ clients
- Regular speaker at AI and data science conferences and academic institutions
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.
Bernhard Keprt
Last position:
AI Consultant at Bitpanda
- Advising on AI strategy and implementation for one of Europe's leading digital asset platforms
- Helping teams integrate agentic AI workflows, optimize developer productivity through AI-assisted tooling, and evaluate emerging AI technologies for fintech applications
Discover over 15,000 top freelancers
Statistics of experts using Data Pipeline
Aggregated from the professional profiles of matched freelancers.
Experience
10 years
Position duration
1.7 years
Positions per freelancer
10
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Education, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Marketing
Bachelor's degree or higher
89%
Master's degree or higher
67%
Doctorate
11%
Certifications per freelancer
3
Most common languages
English, German, Spanish
Speak two or more languages
90%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
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 Data Pipeline
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Data pipelines move data from source systems into warehouses, lakes, and analytics tools. They handle extraction, validation, transformation, and loading so teams can trust reports, dashboards, and downstream services. Strong work here keeps business data consistent and current.
Common stacks
- ETL and ELT flows
- Batch and streaming jobs
- Airflow, dbt, Kafka, Spark
- Warehouse and lake integrations
- Monitoring, retries, and lineage
Typical work
Companies bring in specialists to build new ingestion flows, replace fragile scripts, or untangle slow jobs. They also help when data comes from APIs, files, event streams, or legacy systems and needs one clean path into analytics. In Austria, this often touches reporting, logistics, finance, and industrial data environments.
Strong profile
A strong professional understands data models, schema changes, idempotency, and failure handling. They write clear transformations, document dependencies, and design jobs that can be rerun safely. They also know how to balance speed, cost, and data quality.
When to hire
Use freelance expertise when a project needs a quick rescue, a platform migration, or a short burst of implementation work. It also helps when internal teams need support for observability, orchestration, or test coverage around existing pipelines. The best specialists leave a system easier to run, not just easier to ship.
Delivery focus
Good deliverables include source-to-target mappings, tested transformations, scheduling rules, alerting, and runbooks. The work should make fresh data available on time and make failures easy to diagnose. For remote work in Austria, clear documentation and short feedback loops matter a lot.
Frequently asked questions
What clients ask us most about Data Pipeline — answered in short.
A strong data pipeline moves data from operational systems into places where it can be analyzed, reused, or served to other tools. It is used for reporting, customer analytics, product metrics, and event-driven automation. Good pipelines also protect data quality while the flow grows more complex.
Data Pipeline is the broader idea: the full path data takes from source to destination. ETL and ELT describe two common transformation styles inside that flow. In hiring, this means a specialist may need to design orchestration, validation, storage, and transformations, not just one script.
A Data Pipeline specialist often works with Airflow, dbt, Kafka, Spark, and cloud warehouses such as Snowflake, BigQuery, or Redshift. The right stack depends on whether the work is batch, streaming, or both. Good freelancers adapt the tooling to the data shape and operating model.
A data pipeline expert should understand SQL, data modeling, API integration, and monitoring. Experience with testing, version control, and cloud services is also important. For production work, they should know how to handle retries, schema drift, and access controls.
A Data Pipeline project usually needs someone who has already handled live data, not just prototypes. The smaller the scope, the more valuable practical experience becomes when sources fail or requirements change. For complex migrations or high-volume flows, choose a specialist who has worked through similar edge cases before.
Most data pipeline work can be done remotely if access, security, and data governance are set up well. On-site time can help during discovery workshops, handovers, or when teams need close coordination with local stakeholders in Austria. Many projects use a mixed setup.
A strong Data Pipeline professional explains source assumptions, data contracts, failure handling, and test coverage clearly. They should also show how they monitor jobs, recover from incidents, and keep transformations understandable. If their work is hard to operate, the implementation is usually not finished.
Yes, Data Pipeline work gets harder when source systems are old, poorly documented, or inconsistent. A good specialist will spend time on mapping, validation, and fallback handling before writing the final flow. That is especially important when the data must support finance, operations, or long-lived reporting.
The average hourly rate of freelancers in Austria who have used Data Pipeline in their recent projects is 101 €, which corresponds to a daily rate of about 810 € based on an 8-hour working day.
Of the freelancers in Austria who have used Data Pipeline in their recent projects, 89% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Austria who have used Data Pipeline in their recent projects have 10 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Austria who have used Data Pipeline in their recent projects are English (100%), German (90%), and Spanish (20%).
The most common industries among freelancers in Austria who have used Data Pipeline in their recent projects are Information Technology (90%), Education (50%), and Manufacturing (50%).
The most common business areas among freelancers in Austria who have used Data Pipeline in their recent projects are Business Intelligence (100%), Information Technology (100%), and Product Development (70%).
Main locations of FRATCH Experts, who have recently used Data Pipeline
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
