Siemens Energy
我们拥有创新技术，我们拥有将想法变成现实的能力，我们帮助客户向更加可持续的世界转变，以此“为社会注入活力”。我们在全球拥有近 9 万名员工，共同塑造现在乃至未来的能源体系。
Transformation of Industry
凭借强大的工业客户基础、全球网络、多样化技术和综合项目执行能力，西门子能源助力工业领域脱碳，并实现工业流程可持续转型。
关于职务
Location
德国
Hessen
Frankfurt am Main
远程办公或公司办公
混合模式（远程办公/公司办公）
法律主体
Siemens Energy Global GmbH & Co. KG
组织机构
Transformation of Industry
业务部门
Sustainable Energy Systems
全职/兼职
兼职
经验水平
学生
Location: FFM H
Mode of Employment: Part-time / Fixed Term
A Snapshot of Your Day
As a working student, you support the Modeling & Analytics team to ensure continuity in data analysis for the development of PEM electrolyzers. Your role focuses on further strengthening the team’s capabilities in visualizing and evaluating relevant test bench data.Your work is structured around three core areas: dashboard development, data analysis & automation, and stakeholder support. This enables the standardization of data visualization across different test benches, the automation of manual data processing steps, and the provision of clear, actionable insights for the engineering and R&D teams.
How You’ll Make an Impact - Support the development and maintenance of standardized Grafana dashboards for PEM electrolyzer test benches
- Implementation of cross‑platform comparison functionalities to enable integrated data analysis across test systems
- Enhancement of existing dashboards through the integration of new evaluation logics and additional Key Performance Indicators (KPIs)
- Continuous evaluation, analysis, and visualization of measurement and operational data from various test setups
- Support for the automation of manual or semi‑automated data preparation and evaluation workflows
- Preparation of structured dashboards and analyses for engineering and electrochemistry teams, including close collaboration to translate requirements into effective visualizations and reports
What You Bring- Current enrollment in a Bachelor’s or Master’s program in Engineering, Computer Science, Data Science, Physics, or a related technical field
- Initial hands-on experience with data analysis and visualization tools (e.g. Grafana, Python libraries) through coursework or personal projects; no professional experience required
- Knowledge of data visualization, data analysis, data management, and scripting (e.g. Python)
- Basic familiarity with Grafana and structured data handling
- Strong problem-solving skills, attention to detail, collaboration skills, and high learning agility
- Understanding of engineering principles and basic data structures
About the Team
Our Transformation of Industry division is decarbonizing the industrial sector. Increasing electrification and efficiency are key and demand for green H2 and derivative fuels will rise. We enable decarbonization of the industrial sector and the transition to sustainable processes, building on a strong industrial customer base, a global network, diverse technologies, and integrated execution capabilities.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
Rewards/Benefits - Exciting insights into an international company
- Lay the foundation for your career with us
We value equal opportunities and welcome applications from people with disabilities.
#RPO
As a working student, you support the Modeling & Analytics team to ensure continuity in data analysis for the development of PEM electrolyzers. Your role focuses on further strengthening the team’s capabilities in visualizing and evaluating relevant test bench data.
Your work is structured around three core areas: dashboard development, data analysis & automation, and stakeholder support. This enables the standardization of data visualization across different test benches, the automation of manual data processing steps, and the provision of clear, actionable insights for the engineering and R&D teams.
- Support the development and maintenance of standardized Grafana dashboards for PEM electrolyzer test benches
- Implementation of cross‑platform comparison functionalities to enable integrated data analysis across test systems
- Enhancement of existing dashboards through the integration of new evaluation logics and additional Key Performance Indicators (KPIs)
- Continuous evaluation, analysis, and visualization of measurement and operational data from various test setups
- Support for the automation of manual or semi‑automated data preparation and evaluation workflows
- Preparation of structured dashboards and analyses for engineering and electrochemistry teams, including close collaboration to translate requirements into effective visualizations and reports
- Current enrollment in a Bachelor’s or Master’s program in Engineering, Computer Science, Data Science, Physics, or a related technical field
- Initial hands-on experience with data analysis and visualization tools (e.g. Grafana, Python libraries) through coursework or personal projects; no professional experience required
- Knowledge of data visualization, data analysis, data management, and scripting (e.g. Python)
- Basic familiarity with Grafana and structured data handling
- Strong problem-solving skills, attention to detail, collaboration skills, and high learning agility
- Understanding of engineering principles and basic data structures
At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
- Exciting insights into an international company
- Lay the foundation for your career with us