Über das Unternehmen
Moving into a sustainable and carbon-neutral future will require significant changes in the energy sector. Renewable energy and e-mobility bring new challenges for the power grids of the future. Climate change is requiring us to save energy in buildings, factories, hospitals and data centers. At the same time, we need to ensure the longevity of electrical assets and increase their capacity to reduce asset investment needs. To do this, software products require strong data sources exposed via APIs, powerful AI forecasts and smart decisions/recommendations - packaged business capabilities.
At Siemens Smart Infrastructure, our team of developers, data and AI experts and product managers are dedicated to advancing our products and driving sustainability.
Deine Aufgaben
- Build recommender systems to guide grid planners and grid operators to make grids ready for the future
- Forecast renewable energy production and energy consumption to optimize factory schedules and efficiency
- Provide Siemens grid and energy management offerings access to the best data to solve customer problems (e.g., weather, energy prices, ...)
- Guide and mentor the development team by promoting best practices in coding, architecture, and design
- Make critical architecture decisions to ensure scalability, performance, and maintainability of the software
- Drive the architectural vision in line with the product vision, make pragmatic and cost-effective design decisions
- Collaborate with Product managers and Data/AI experts to access technical complexity and shape a long-term technical vision
Dein Profil
- Bachelors or Masters degree in Computer Science, Software Engineering, Data Science, or a related field
- 10+ years of experience in software development, with a strong background in Python and Java
- Proven experience in leading technical teams, preferably in an agile or Scrum-based environment
- Hands-on experience in developing data-driven applications and APIs on AWS
- Deep understanding of critical data science Python packages (e.g., pandas, numpy, scikit-learn, tensorflow, spacy)
- Proficiency in English and basic conversational ability in German
Unsere Benefits
- Attraktives Gehalt und Zugang zu Siemens Aktienoptionen
- 30 Tage Urlaub und flexible Arbeitszeitmodelle
- 2-3 Tage mobiles Arbeiten pro Woche
- Vielfältige Weiterbildungsmöglichkeiten