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- Aufgaben: Join our team to develop a cloud-hosted data platform for smarter mobility solutions.
- Arbeitgeber: PTV Group empowers sustainable mobility through innovative software and consulting for over 2,500 cities worldwide.
- Mitarbeitervorteile: Enjoy flexible hours, 30 days vacation, fitness perks, and a supportive work environment.
- Warum dieser Job: Make a real impact on how people move while working with cutting-edge technology in a collaborative team.
- Gewünschte Qualifikationen: A degree in a technical field and strong skills in C#, Python, SQL, and CI technologies are essential.
- Andere Informationen: Work in a dynamic international team and contribute to exciting projects in mobility.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
PTV Group. Empowering mobility for humanity as part of Umovity.
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. Are you interested in complex data processing in a modern environment which has a direct impact on the way people move? Join us in shaping the future of mobility!
What you will be responsible for
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. For example, we use a new method to automatically generate dynamic urban traffic models. The multimodal road network is recorded down to the smallest detail. 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 reproducible 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 will be actively involved in the integration of new technologies and ML/AI solutions into our products and services.
- You deal with data governance topics such as versioning, security and testability of data and their implementation.
Experience you have
Basic:
- You have a university degree in Computer Science, Mathematics, Statistics, Physics or related technical field or equivalent practical experience.
- 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 are familiar with Kubernetes 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 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
- 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 corporate events
- Fitness center at the Headquarters in Karlsruhe
- Free drinks and fruit
- Subsidized canteen
- Jobbike
- and a lot more
Additional information
Entity: PTV GmbH
Workplace: DE, Karlsruhe
Weekly working hours: 40 hours
Please upload your CV and attach any references, (university) certificates or letters of recommendation you may have.
Contact:
Steffen Göckel
Senior HR Business Partner
+49 721 9651-0 #J-18808-Ljbffr
Data Platform Engineer (m/f/d) Arbeitgeber: PTV Logistics GmbH
Kontaktperson:
PTV Logistics GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Platform Engineer (m/f/d)
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Kubernetes, Docker, and CI tools like Azure DevOps. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Engage with the PTV Group's community on platforms like LinkedIn or GitHub. This can help you understand their culture better and may even lead to networking opportunities that could benefit your application.
✨Tip Number 3
Prepare to discuss your experience with data architectures, especially the differences between Data Lake and Data Warehouse. Being able to articulate this knowledge will demonstrate your expertise and fit for the role.
✨Tip Number 4
Show your enthusiasm for learning and teaching new technologies. Highlight any experiences where you've collaborated in a team setting or mentored others, as this aligns well with the company's values.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Platform Engineer (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Platform Engineer position at PTV Group. Familiarize yourself with the technologies mentioned, such as Kubernetes, Docker, and CI tools.
Tailor Your CV: Customize your CV to highlight relevant experience in software development, data architectures, and any specific projects that demonstrate your skills in C#, Python, SQL, and cloud technologies.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for mobility and technology. Mention how your background aligns with PTV Group's mission and how you can contribute to their innovative projects.
Prepare Supporting Documents: Gather all necessary documents such as references, university certificates, and letters of recommendation. Ensure they are up-to-date and relevant to the position you're applying for.
Wie du dich auf ein Vorstellungsgespräch bei PTV Logistics GmbH vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with software development in C#, Python, and SQL. Highlight specific projects where you've utilized these languages, especially in relation to data processing and cloud technologies.
✨Understand Data Architectures
Familiarize yourself with the differences between Data Lakes and Data Warehouses. Be ready to explain how you have applied this knowledge in previous roles or projects, as it is crucial for the position.
✨Demonstrate Team Collaboration
As a strong team player, share examples of how you've successfully collaborated in an agile environment, such as Scrum. Discuss your experiences in learning from others and teaching new technologies to your teammates.
✨Prepare for Questions on Data Governance
Expect questions related to data governance topics like versioning, security, and testability. Prepare to discuss how you have implemented these concepts in past projects to ensure high data quality.
