Data Platform Engineer (w/f/d)
As part of the international brand Umovity, we offer innovative software solutions and provide customized consulting. For over 40 years, we've been a leader in traffic planning, simulation, and real-time traffic management software. We are proud of our global team of over 1,500 passionate individuals working across 28 locations. Are you interested in complex data processing in a modern environment which has a direct impact on the way people move? Our international team is working on the development of a modern, cloud-hosted data platform. We process vast amounts of big data using state of the art frameworks, artificial intelligence, and machine learning.
The processed data is geospatial data related to mobility. Artificial traffic is simulated by describing people's daily activities - where they live, work, shop, and travel for leisure. This process involves integrating, combining, and enriching various data sources.
Our commitment to excellence extends to ensuring good data quality through intelligent automated testing. Stable, scalable, and reproduceable data processing takes place within a well-defined framework.
As part of an international team, you will specify, develop and improve a cloud-based data platform that enables scalable data processing workflows based on Kubernetes
You deal with data governance topics such as versioning, security and testability of data and their implementation
You are excellent in software development (C#, Python, SQL)
You are experienced in CI technologies such as Azure DevOps, AWS CodePipeline or Github Actions and enjoy designing pipelines (including bash, powershell, etc.)
You speak and write English fluently
You have professional experience with data architectures and know the difference between Data Lake and Data Warehouse
You are familiar with data versioning and data lineage
You worked in an agile working environment such as Scrum
Benefits
~ 30 days holiday, 24th and 31th December free
~ Bonus model
~ Capital-forming benefits
~ Occupational pension provision
~ Training programs at PTV Academy
~ Free drinks and fruit
~ Subsidized canteen
~ Jobbike
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