Job Description
At PTV Group, we're driven by a shared purpose: empowering smarter, safer and more sustainable mobility for humanity through advanced technology. 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. Trusted by over 2,500 cities worldwide, our solutions empower decision-makers to shape the future of mobility. We are proud of our global team of over 1,500 passionate individuals working across 28 locations. All united by a shared vision and a commitment to making a real difference. Join us and be part of the team that moves the world. We're excited to hear from you!
(Senior) Data Engineer (w/f/d)
- As part of an international agile team, you will build our new data platform with us from the ground up and work on the specification, development, and maintenance.
- You specify, build, and improve scalable and reproducible cloud-based data processing workflows and algorithms.
- You develop and integrate new ML/AI solutions in our products and services by incorporating new data sources and new technologies.
- You maintain a high data and product quality with intelligent automated testing.
Basic:
- You have a university degree in Computer Science, Mathematics, Statistics, Physics or related technical field or equivalent practical experience.
- You have professional experience with data architecture and know the difference between Data Lake and Data Warehouse.
- You are excellent in relevant scripting and coding languages (Python, PySpark, SQL, C#).
- You are familiar with automated big data processing in cloud-based distributed systems.
- You are experienced in CI technologies such as Azure DevOps, and Docker.
- You are a strong team player (m/f/d) and enjoy learning and teaching about new technologies, methods, and solutions.
- You speak and write English fluently.
Preferred:
- You have knowledge of and a keen interest in spatial data and traffic models.
- You are familiar with data version control, MLOps and Azure ML.
- You worked in an agile working environment such as Scrum.
- Flexible working hours
- 30 days holiday, 24th and 31th December free
- Bonus model
- Capital-forming benefits
- Occupational pension provision
- Structured induction
- Training programs at PTV Academy
- Departmental and coporate events
- Fitness center at the Headquarters in Karlsruhe
- Free drinks and fruit
- Subsidized canteen
- Jobbike
- and a lot more