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Discover. candidates will have the opportunity to:
- Contribute to end-to-end IoT projects, from ideation and design to deployment and performance monitoring.
- Work closely with cross-functional teams across technology, commercial, and business development functions.
- Support the design and enhancement of IoT connectivity products, platforms, and customer solutions.
- Gain a deep understanding of machine-to-machine (M2M) connectivity,IoT platforms, and smart industry applications.
- Learn how Vodafone delivers scalable IoT solutions that enable smarter cities, businesses, and connected devices
We are looking for curious, driven, and tech-savvy individuals who are passionate about IoT, connectivity, and digital innovation.
Preferred Backgrounds:
- Engineering (Communications, Electronics, Computer, or Mechatronics)
- Computer Science, Information Systems, or Business Information Technology
- Data Science or related technical disciplines
Additional Preferred Certifications / Knowledge:
- IoT fundamentals (e.g., Cisco IoT, Coursera, or equivalent)
- Cloud platforms (AWS, Azure, or Google Cloud – basic certification or exposure)
- Networking and connectivity basics (2G/3G/4G/5G, NB-IoT, LPWAN)
- Data analytics or visualization tools (Power BI, Python, or SQL basics)
- Agile or Scrum methodologies (introductory certification is a plus)
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Discover. candidates will have the opportunity to:
- Develop and enhance connectivity products to meet business and customer needs.
- Coordinate between technical, commercial, and sales teams to launch and improve products.
- Analyze performance (pricing, usage, profitability and budgeting) to guide strategic decisions.
- Support digitalization and automation initiatives within product lifecycle management.
Preferred Backgrounds:
- Management of Information and Communication Technology (MICT)
- Business Administration/ Entrepreneurship
- Marketing
- Business Informatics
- Faculty of Engineering (Communications or Computer Engineering)
- Faculty of Business Administration
- Faculty of Informatics and Computer Science
- Economics
- Finance
- Accounting
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