Kevin L.-Data Engineering & DWH Data Engineering Environment
Check rate
Experience
Data Consultant
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.
Data Engineer
Fujitsu
For Fujitsu in Europe, Kevin is currently responsible for enterprise-wide data preparation, automation, and data warehouse integration processes in an enterprise environment, as well as for developing the data architecture.
Junior Data / Software Engineer
Mediashop GmbH
- Modeling dimensional data architectures
- Further development of existing processes and integration of new information
- Implementation of requirements from various business units (Business Stakeholders)
- Performance optimization
- Documentation of processes and solutions
- Management of authorizations
- Implementation and design of security rules
- Development and monitoring of quality controls in data management
- Connecting and maintaining various source systems to the Data Warehouse and from the Data Warehouse to various Stakeholders
- Troubleshooting and ensuring the reliability and correctness of ETL processes
- Central contact person for partner companies in the areas of AI and dialog marketing
- Further development of the AI data strategy in cooperation with partner companies
- Implementation of the requirements of the MediaShop subsidiary in Switzerland
- Rebuilding the AI development environment
- Development and training of an AI model for customer selection
- Translating business requirements at a technical level
Lecturer
Franz Schubert Conservatory Vienna
- Teaching data-based score analysis
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Education, Information Technology, Media and Entertainment, and Retail.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Business Intelligence, Information Technology, and Quality Assurance.
Summary
Kevin Lang works in the areas of data engineering, data architecture, data structuring, machine learning, and AI integration. His focus is on the technical processing, structuring, and integration of company data, as well as on the development of modern data processes, data pipelines, and automation solutions. With his background in machine learning and data science, along with his strong understanding of systems, he combines traditional data processing with modern AI-supported approaches — at the interface between data integration, data architecture, automation, and technical implementation. He places particular focus on topics such as maintainability, ownership, and governance.
Skills
- Sql
- Python
- Bash
- C#
- Data Engineering
- Ml & Ai Pipelines
- Cloud & Orchestration
- Data Architecture
- Machine Learning
- Ai Integration
- Structuring
- Modeling
- Automation
- Azure Data Factory
- Azure Synapse
- Azure Devops
- Ci/Cd
- Dbt
- Airflow
- Terraform
- Mlflow
- Sklearn
- Ssis
- Data Integration
- Understanding Of Systems
- Linux Server
- Windows Server
- Data Preparation
- Reporting
- Structured Data Models
- Data Processes
- Technical Implementation
- Claude
- Codex
- Databricks
- Power Bi
- Mssql
Languages
Education
St. Pölten University Of Applied Sciences
Bachelor's degree in Data Science and Business Analytics, passed with distinction · Data Science And Business Analytics · Saint Pölten, Austria
Mozarteum University Salzburg
Master's degree in Music Theory · Music Theory · Salzburg, Austria
Mozarteum University Salzburg
Master's degree in Composition · Composition · Salzburg, Austria
Statistics
Experience
Global experience
Expertise
Qualifications
Frequently asked questions
Have questions? Find more information here.
Kevin is based in Vienna, Austria.
Kevin speaks the following languages: German (Native), English (Advanced), French (Intermediate), Chinese (Elementary).
Kevin has at least 5 years of experience. During this time, Kevin has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 1 year and 3 months. Note that Kevin may not have shared all experience and actually has more experience.
Based on recent experience, Kevin would be well-suited for roles such as: Data Consultant, Data Engineer, Junior Data / Software Engineer.
Kevin's most recent position is Data Consultant at VBV Pensions- und Vorsorgekasse Österreich.
In recent years, Kevin has worked for VBV Pensions- und Vorsorgekasse Österreich, Fujitsu, Mediashop GmbH, and Franz Schubert Conservatory Vienna.
Kevin is most experienced in industries like Education, Media and Entertainment, and Retail. Kevin also has some experience in Information Technology and Insurance.
Kevin is most experienced in business areas like Business Intelligence, Information Technology, and Quality Assurance. Kevin also has some experience in Audit and Operations.
Kevin holds a Master in Music Theory from Mozarteum University Salzburg, a Master in Composition from Mozarteum University Salzburg, a Bachelor in Data Science And Business Analytics from St. Pölten University Of Applied Sciences, a Bachelor in Composition from Mozarteum University Salzburg and a Bachelor in Music Theory from Mozarteum University Salzburg.
Kevin is immediately available part-time for suitable projects.
Daily rate distribution
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Average rates for similar positions
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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 26 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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