Data Lake Experts in Vienna
in minutes with vetted specialists and precise AI matching.Hire experts who design data lake storage, build ingestion and transformation pipelines, and set up analytics-ready datasets for BI and machine learning, with fast, precise matching to vetted, available freelancers.
Meet FRATCH Experts in Vienna, who have recently used Data Lake
Alexander P.
Last position:
Owner & Lecturer at Own company for AI governance and data products, Vienna
- Consulting and interim management at the interface between IT operations and regulation
- Impact analysis and implementation planning for NISG 2026 and the EU AI Act, including risk management and reporting and evidence processes
- Training for governing bodies and employees on regulatory obligations
- Lectures in Data & Information Management and Human-Machine Interaction at University of Applied Sciences Burgenland, since 2023
- Supervision of master’s theses and participation in the examination board
- Presentations for business and educational institutions
- Design and development of data and AI products, platforms and pipelines
- Privacy-first architectures and zero-knowledge encryption, cloud-native on EU infrastructure
- MLOps and AIOps in live operations
- Own applications under own brand: shared codebase, separate delivery for each target device
- AI-assisted software development (vibe coding), complete agentic pipelines, code generation, implementation, automated testing, CI/CD and release cycles
- Publications on the EU AI Act, NIS2, DORA, CRA and CER as an integrated governance system
- Publications on data sovereignty, cloud economics and industrial image processing
- AI governance / compliance: data quality, Responsible AI, EU AI Act readiness, risk classification, AI ethics
Zeev T.
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 A.
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 G.
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
Rene S.
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
Peter K.
Last position:
Sabbatical
Gasper Z.
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
26 years
Position duration
2.4 years
Positions per freelancer
14
Top business areas
Information Technology, Project Management, Business Intelligence
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Project Management, Information Technology, Business Intelligence
Bachelor's degree or higher
83%
Master's degree or higher
83%
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Vienna 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 Vienna 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Data Lake 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 (86%)
- Banking and Finance (71%)
- Manufacturing (57%)
- Education (43%)
- Insurance (43%)
- Professional Services (43%)
- Retail (43%)
- Telecommunication (43%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What a data lake holds
A data lake stores raw and curated data in one place. It is used for batch feeds, streaming events, logs, documents, and sensor data that teams later shape for analytics, reporting, and machine learning. Strong experts know when to keep data flexible and when to add structure.
Common building blocks
- Ingestion from apps, APIs, files, and event streams
- Storage design across cloud object stores and on-prem setups
- Schema handling, cataloging, and data governance
- Query access for BI tools and data science work
- Reliability patterns for validation, lineage, and recovery
When companies bring in freelancers
Companies usually need freelance specialists when a lake must be planned, repaired, or connected to new sources. The work often starts with messy pipelines, unclear ownership, or slow access for analysts. In Vienna, this comes up in finance, logistics, public services, and industrial teams that need clean data flow without long hiring delays.
What strong specialists do
A good data lake specialist thinks about more than storage. They design folder and table layouts, reduce duplication, document sources, and keep access controls clear. They also understand how raw zones, curated zones, and downstream semantic layers fit together.
Ecosystem and tools
Data lake work often touches Spark, Databricks, Delta Lake, Hadoop, Kafka, dbt, Airflow, and cloud storage services such as Amazon S3, Azure Data Lake Storage, and Google Cloud Storage. The right expert understands how these pieces interact, not just how to switch them on.
What to look for
- Clear decisions on ingestion, retention, and governance
- Experience with both batch and streaming data
- Practical knowledge of security and access control
- Ability to support analysts, data engineers, and data scientists
- Clean handover notes that keep the lake maintainable
Frequently asked questions
Everything clients usually want to know about Data Lake, in one place.
A Data Lake is used to collect raw and processed data in one place so teams can reuse it for analytics, reporting, and machine learning. It is a fit when a company has many source systems and wants a shared foundation for different use cases. Good specialists keep the storage flexible without letting it turn into a dump.
A data lake keeps data in its native or lightly shaped form, while a warehouse is usually more curated and structured for reporting. Companies often use both: the lake for broad intake and exploration, the warehouse for fixed business views. A strong freelancer can help define where each one belongs.
Yes. Delta Lake is closely related and often comes up when teams want reliable tables, schema enforcement, and simpler data management on top of a lake. People searching for a lake specialist often also need help with Databricks and table formats such as Delta. The right expert should know how these layers fit together.
A data lake specialist usually needs strong SQL, Python, and cloud storage knowledge, plus experience with Spark, Airflow, Kafka, or dbt depending on the stack. Governance and security matter too, especially when many teams share the same data. The best freelancers also write clear documentation for future handover.
A Data Lake project goes faster when the expert gets source lists, current pipeline diagrams, access rules, and a short description of business goals. Even if the setup is messy, a good specialist can start by mapping data flows and identifying risks. The clearer the input, the faster the first useful changes arrive.
Yes, most data lake work can be done remotely if access, security, and communication are set up well. For teams in Vienna, remote collaboration often works for design, pipeline fixes, and documentation, while on-site time may help with sensitive systems or stakeholder workshops. A practical freelancer will adapt to either setup.
Look for a Data Lake freelancer who can explain design choices in plain language and show how the lake stays usable over time. Good signs are clean pipeline logic, clear governance, and a structure that supports both analysts and data scientists. Ask for examples of solving ingestion, quality, or access problems, not just building storage.
A data lake engagement usually needs careful discovery, because source data, ownership, and quality issues are often more important than the storage layer itself. Freelancers should be ready to work across data engineering, analytics, and governance tasks. Strong communication matters as much as tool knowledge.
The average hourly rate of freelancers in Vienna, Austria who have used Data Lake in their recent projects is 118 €, which corresponds to a daily rate of about 946 € based on an 8-hour working day.
Of the freelancers in Vienna, Austria who have used Data Lake in their recent projects, 83% hold at least a Bachelor's degree and 83% hold at least a Master's degree.
On average, freelancers in Vienna, Austria who have used Data Lake in their recent projects have 26 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Vienna, Austria who have used Data Lake in their recent projects are German (100%), English (100%), and French (29%).
The most common industries among freelancers in Vienna, Austria who have used Data Lake in their recent projects are Information Technology (86%), Banking and Finance (71%), and Manufacturing (57%).
The most common business areas among freelancers in Vienna, Austria who have used Data Lake in their recent projects are Information Technology (100%), Project Management (86%), and Business Intelligence (71%).
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.
Countries:
Vienna 
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Philipp Thomaschewski
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