Data Pipeline Experts in Austria
, matched with vetted, available freelancers in minutesHire experts who design ETL and ELT workflows, connect streaming sources with Kafka, and orchestrate reliable processing with Apache Airflow or dbt. FRATCH matches you quickly and precisely with vetted, available freelancers for your data project.
Meet FRATCH Experts in Austria, who have recently used Data Pipeline
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
Manuel P.
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.
Marc-Anthony T.
Last position:
Software Developer at Dawnguard.AI
- Took Dawnguard from initial product concept to a launched MVP within two months, building the backend platform and reducing cloud-environment scan times from approximately 40 minutes to under two minutes across 70 accounts.
- Designed and built the core resource discovery engine for Azure and AWS, enabling the frontend to visualise complex cloud environments and the AI to evaluate architectural patterns.
- Engineered distributed APIs and dynamic Cosmos DB schemas to support rapidly evolving product requirements and variable cloud-environment structures.
- Built the architecture-generation engine to support clients with 100+ cloud accounts and dynamically generate complete architectures containing approximately 25,000 resources.
- Developed custom data-generation tools that enabled the AI and frontend teams to simulate and test large-scale cloud architectures.
- Delivered backend features end to end by working with AI, frontend, and business stakeholders from technical design through implementation and testing.
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.
Elija L.
Last position:
Consultant at Fujitsu Deutschland Mediashop GmbH
- Supporting and helping shape the development and advancement of an enterprise-wide HUB system for integrating a wide range of 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
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.
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.
Nikolaus J.
Last position:
Integration Architect at CECIL
Designed an API-first omnichannel integration, linking WhatsApp Business API with Salesforce Marketing Cloud to unify customer data across multiple platforms.
Automated customer onboarding and engagement workflows using Marketing Cloud Journeys, SSJS, and Azure Functions.
Developed a middleware layer to sync WhatsApp interactions with Sales Cloud for seamless customer experience tracking.
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.
Armin F.
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
Bernhard K.
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
Valerio S.
Last position:
Software Engineer at DonTouch SA
Responsible for integrating and maintaining web services for external clients and internal systems, emphasizing automation of ETL pipelines and infrastructure management.
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
9
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Education, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Marketing
Bachelor's degree or higher
90%
Master's degree or higher
70%
Doctorate
10%
Certifications per freelancer
2
Most common languages
English, German, Italian
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 Austria 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 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Data Pipeline 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 (92%)
- Education (50%)
- Banking and Finance (50%)
- Manufacturing (42%)
- Media and Entertainment (42%)
- Professional Services (42%)
- Retail (42%)
- Biotechnology (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Data Pipelines Do
A data pipeline moves information from source systems to destinations where it can be analyzed, operationalized or stored. It can collect application events, business transactions, sensor readings or files, then validate, transform and deliver them. Batch and streaming designs support different freshness, cost and reliability needs.
Core Pipeline Patterns
ETL transforms data before loading it into a destination, while ELT loads raw data first and transforms it inside a warehouse or lakehouse. Data integration may combine APIs, databases, SaaS tools and event streams. A sound design handles schema changes, duplicates, late records, retries and failed deliveries without losing trust in the output.
Ecosystem and Tooling
Common ecosystems combine cloud storage, warehouses, message brokers and orchestration tools. Specialists may work with Apache Airflow, Kafka, dbt, Spark, Flink, SQL and Python, alongside services from AWS, Microsoft Azure or Google Cloud. They also set up version control, automated tests, lineage, secrets management and infrastructure as code.
When Companies Need Specialists
Companies often bring in freelance expertise when existing data flows are slow, fragile or difficult to explain. Typical assignments include:
- Migrating pipelines from scheduled scripts to managed orchestration
- Connecting operational systems to a warehouse or lakehouse
- Adding real-time ingestion for events, telemetry or customer activity
- Improving monitoring, recovery and data quality checks
Delivery in Austria
A strong professional can support teams in Austrian manufacturing, finance, retail, logistics, energy and public services, where dependable data movement supports reporting and operations. Remote collaboration works well when documentation, ownership and incident procedures are clear; on-site work can help during source-system discovery or complex migrations. German and English communication may both matter depending on the team.
What Good Work Looks Like
Strong specialists make pipeline behavior observable and repeatable. They define contracts for incoming data, test transformations, protect sensitive fields and measure freshness, completeness and failure recovery. They explain trade-offs clearly, leave maintainable runbooks and design for the real workload rather than only the first successful transfer.
Frequently asked questions
What clients ask us most about Data Pipeline — answered in short.
A data pipeline transfers data between systems and prepares it for analytics, reporting, machine learning or operational use. It can ingest files, database records, API responses or event streams, then validate, transform and deliver them to a warehouse, lakehouse or application.
A data pipeline describes the broader flow of data, including ingestion, processing, orchestration and delivery. ETL transforms data before loading it, while ELT loads raw data first and transforms it in the destination. A pipeline can contain either pattern, as well as streaming or hybrid steps.
A strong Data Pipeline specialist usually combines SQL and Python with cloud storage, data warehouses, APIs and distributed processing. Experience with Apache Airflow, Kafka, dbt, Spark, monitoring, testing, security and infrastructure as code is also valuable.
The right data pipeline professional depends on the system’s complexity, not on a fixed number of years. A simple scheduled integration may need focused ETL expertise, while high-volume streaming, strict governance or a migration across clouds calls for proven design, operations and recovery experience.
Yes, data pipeline work is often suitable for remote collaboration because development, testing and monitoring happen in shared cloud environments. On-site sessions in Austria can still help with workshops, access constraints, source-system discovery or coordination with operations teams.
A data pipeline tool should be chosen by workload and operating model. Kafka fits event streaming, Apache Airflow coordinates scheduled or dependent tasks, and dbt focuses on SQL-based transformations; many production systems use them together rather than treating them as direct substitutes.
A well-built data pipeline has clear data contracts, observable runs, tested transformations and defined recovery behavior. Look for reliable handling of duplicates, late data, schema changes and sensitive information, plus documentation that another professional can use to operate and extend the system.
Before taking on a data pipeline project, clarify source systems, destinations, data volume, freshness targets, failure ownership and access requirements. Also confirm whether the work covers architecture, implementation, cloud infrastructure, monitoring, documentation or handover, since these responsibilities shape the delivery plan.
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 811 € based on an 8-hour working day.
Of the freelancers in Austria who have used Data Pipeline in their recent projects, 90% hold at least a Bachelor's degree, 70% hold at least a Master's degree, and 10% 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 (92%), and Italian (25%).
The most common industries among freelancers in Austria who have used Data Pipeline in their recent projects are Information Technology (92%), Education (50%), and Banking and Finance (50%).
The most common business areas among freelancers in Austria who have used Data Pipeline in their recent projects are Information Technology (100%), Business Intelligence (83%), and Product Development (75%).
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:
- Germany
- Austria
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