Data Lake Experts in Austria
in minutes from 15,000 CVs with the power of AIHire experts who design data lake architectures, set up ingestion and cataloging, and build reliable batch and streaming pipelines. They bring the right mix of storage, governance, and analytics delivery, with fast, precise matching to vetted, available freelancers.
Meet FRATCH Experts in Austria, who have recently used Data Lake
Mario Tuta
Last position:
External Lecturer at FH Kufstein Tirol – University of Applied Sciences
- Study: Data Science & Intelligent Analytics
- Module: Big Data Processing
Zeev Turchinsky
Last position:
Enterprise Architect at Coveris Group
- Built Enterprise Architecture practice covering business, application, data, and integration layers
- Created a multi-year Integration Strategy, delivering annual cost savings of several hundred thousand euros
- Defined portfolio simplification roadmap, identifying redundant systems and cost reduction opportunities
- Designed target-state enterprise architecture around D365 FSCM, enabling a best-of-breed future landscape
- Developed Master Data Management (MDM) strategy and roadmap to improve data quality and operational efficiency
- Provided enterprise-wide architectural direction ensuring alignment and eliminating redundant initiatives
- Established reusable architecture patterns adopted by delivery teams
- Facilitated cross-functional architecture forums to align product and delivery teams
- Translated enterprise architecture guidance into practical delivery decisions
- Drove practical adoption of architecture guidance across initiatives rather than acting as a gatekeeper
- Identified redundant systems enabling substantial cost reduction potential
- Enabled cost transparency in integration landscape
- Enabled fact-based investment prioritization decisions
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)
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
Kurt Blumenschein
Last position:
Backend / Microservice Developer, DevOps, Test Automation at RCA, Rail Cargo Austria AG
- Backend / Microservice Developer, DevOps, Test Automation
- ~100 Devs, ~10 Teams, per team: 1 PO, 1 Scrum Master, 1 UX, 1 Developer, 1 Tester
- .net core 8, 9, C#
- Microservices, Clean-Architecture, MediatR, CQRS
- GraphQL, REST, SDL
- Azure DevOps, CI / CD-pipelines, Azure-Service Bus, Rabbit-MQ, Kafka, Azure App Configuration, Azure KeyVault, Azure Kubernetes AKS
- Splunk, dashboards, custom metrics, Elastic-Search, Kibana (ELK)
- Azure SQL-Databases, Azure Cosmos DB
- Architecture decisions, event governance, COP (Backend, DevOps, FrontEnt, Test Automations)
- AI, Copilot, creating test templates
- Scheduler, Hangfire, Quartz
- Automated unit and integration tests
- Automated E2E tests, Playwright test automation, BDD, Gherkin, Cucumber
- Tracking of shipments
- GIS, GPS data, geofence, geo search, position tracking, asset positions
- Jira, Confluence
- Focus on high-performance message-oriented architecture (~xx million messages per month per service)
- Structured logging, Serilog, OTel, Splunk, Application Monitoring
- Integration of different position data sources (GPS-based data) into Azure Data Lake
Rene Schakmann
Last position:
Head of Digital Services & IT at reet systems gmbh / THEOPHIL Holding GmbH
- Overall responsibility for IT, software development, and digital services of the company for brands such as Rosenberger, Rosehill, Burger King Austria (approx. 70 companies)
- Built the holding's lakehouse and data analytics platform
- Established and led the software development and IT department
- Established and led the operation (cloud-native AWS) of the B2B platform
- Connected IoT systems and developed models for predictive maintenance and production planning, data lake/lakehouse, and BI
- Preparation for ISO 27001 information security certification
- Technologies: Cloud, AWS, Java, Cypress, Angular, Python, Go
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
Manfred Schmidl
Last position:
Data Solutions Consultant at ONECEPT GmbH
- As a Data Engineer and Cloud Architect, I am implementing various use cases for our customers.
- From a technical point of view, the focus is on data integration projects in Azure, specializing in data and Delta Lakes using the Apache Framework or Azure products like Synapse Analytics or Fabric.
Peter Klosa
Last position:
Sabbatical
Gasper Zerak
Last position:
Senior BI Consultant at PMONE GmbH
Discover over 15,000 top freelancers
Statistics of experts using Data Lake
Aggregated from the professional profiles of matched freelancers.
Experience
25 years
Position duration
2.2 years
Positions per freelancer
16
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
88%
Master's degree or higher
63%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100%
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 Lake
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 a data lake is
A data lake stores raw and curated data in one place, ready for analytics, reporting, machine learning, and data science. It can hold structured tables, semi-structured event data, and unstructured files without forcing one fixed schema first. That flexibility is why teams use it for many source systems at once.
Common stack
A strong project usually touches a clear stack around storage, ingestion, cataloging, and query layers.
- Cloud object storage or Hadoop-based storage
- Batch and streaming ingestion tools
- Metadata catalogs and data governance
- SQL engines, notebooks, and transformation jobs
Where it fits
Data lakes support customer analytics, product telemetry, finance reporting, and machine learning feature pipelines. They are also common in IoT, media, retail, logistics, and manufacturing, where large data sets arrive from many systems in many formats. In Austria, companies often need experts who can work with internal teams on site or remotely, depending on the data access rules.
When to bring in experts
Freelance specialists are often needed when a lake becomes messy, slow, or hard to trust. Typical signs are duplicated data, unclear ownership, weak lineage, brittle pipelines, or dashboards that do not match source systems.
- Design a new lake from scratch
- Clean up ingestion and folder structures
- Improve governance, access control, and lineage
- Stabilize SQL and transformation jobs
Strong skills
Good professionals know storage design, partitioning, file formats, schema evolution, and cost control. They also understand data quality checks, orchestration, cataloging, and the difference between a lake, a warehouse, and a lakehouse. For AWS S3, Azure Data Lake Storage, and Hadoop-based setups, they should work comfortably across the surrounding ecosystem.
Delivery outcomes
The best work is easy to use. It gives teams reliable data sets, clear naming, repeatable pipelines, and a catalog that helps people find the right data fast. That is what turns a data lake from a file dump into a useful foundation for analytics and machine learning.
Frequently asked questions
Everything clients usually want to know about Data Lake, in one place.
A Data Lake is used to store raw and processed data for analytics, reporting, and machine learning. It brings together logs, events, files, and database extracts so teams can work from one shared data source. Companies use it when they need flexibility more than a fixed schema.
A Data Lake keeps data in its original or lightly processed form, while a warehouse usually organizes data for fast SQL reporting. Lakes are better for broad exploration and mixed data types. Warehouses are often better for tightly modeled business reporting.
No. A Data Lake stores data, but a lakehouse adds warehouse-like features such as stronger table management and transactional behavior on top of it. Teams compare the two when they want both flexible storage and more reliable analytics patterns. The right choice depends on how much structure the data needs.
A strong Data Lake specialist usually knows SQL, data modeling, orchestration, and cloud storage. Experience with Spark, dbt, Airflow, and a catalog or lineage tool is often valuable. Security, access control, and data quality checks also matter a lot.
A Data Lake project can need anything from a short cleanup to a full redesign. Simple ingestion fixes may need one specialist, while governance, migration, and multi-team operating models need broader experience. The key is not title, but proven delivery on similar data problems.
Yes, most Data Lake work can be done remotely if access, security, and collaboration rules are clear. On-site time can help when teams need workshop-style architecture decisions or have sensitive environments. In Austria, many companies blend both depending on the project phase.
Look for a Data Lake expert who can explain architecture choices in plain language and connect them to business use cases. Good signs are clean pipeline design, sensible partitioning, proper governance, and clear handling of schema changes. Weak work usually leaves behind unclear ownership and brittle jobs.
People often search for Data Lake work using terms like data lakehouse, AWS S3-based lake setups, Azure Data Lake Storage, or Hadoop data lake. The exact wording depends on the stack and cloud vendor involved. A strong specialist should understand the search term and the underlying architecture.
The average hourly rate of freelancers in Austria who have used Data Lake in their recent projects is 111 €, which corresponds to a daily rate of about 886 € based on an 8-hour working day.
Of the freelancers in Austria who have used Data Lake in their recent projects, 88% hold at least a Bachelor's degree and 63% hold at least a Master's degree.
On average, freelancers in Austria who have used Data Lake in their recent projects have 25 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Austria who have used Data Lake in their recent projects are German (100%), English (100%), and French (30%).
The most common industries among freelancers in Austria who have used Data Lake in their recent projects are Information Technology (90%), Banking and Finance (70%), and Education (50%).
The most common business areas among freelancers in Austria who have used Data Lake in their recent projects are Information Technology (100%), Business Intelligence (80%), and Project Management (80%).
Main locations of FRATCH Experts, who have recently used Data Lake
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.
Vienna Graz 
Vienna Request a free demo
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Philipp Thomaschewski
FRATCH CEO
