Working Student - Cloud Platforms (f/m/d)
Our Cloud Engineering team in Düsseldorf is looking for YOU!
We are Uniper
At Uniper, we are pro-actively transforming the world of energy whilst at the same time ensuring security of energy supply. As an internationally operating company, we work in very diverse teams with the greatest possible working time flexibility for our employees. Our corporate culture is characterized by equal opportunities, mutual appreciation, and respect. With us, you will be able to develop new business models, work on technological solutions for a modern, sustainable, and future-oriented energy supply as well as pro-actively help to shape changes. Interested? Then we will look forward to meeting you!
Your responsibilities
- Assist in configuring and maintaining Azure Monitor, including Log Analytics workspaces, dashboards (Workbooks), Application Insights, alert rules and action groups to track resource health and performance.
- Support the implementation of the cloud observability concept by defining and instrumenting metrics, logs, and traces across Azure services, ensuring they are collected, stored, and visualized consistently.
- Identify typical questions related to cloud resources and their usage (e.g., health, availability, performance, configuration, cost, inventory) and translate them into KQL queries, dashboards, and actionable alerting/playbooks.
- Maintain clear documentation for telemetry standards (what metrics/logs/traces are required), alert tuning guidelines (noise reduction, thresholds), and troubleshooting runbooks; keep all materials up to date
Your profile
- You are enrolled as a full-time student at a German university in computer science, information management, cloud engineering or a similar field.
- Basic understanding of cloud monitoring concepts, and interest in working with Azure Monitor and Log Analytics.
- Ability to translate technical findings (e.g., resource health issues) into clear documentation or simple dashboards/queries.
- Curiosity and willingness to learn Azure monitoring tools, KQL, and observability practices.
- Ability to work independently in a home office setting.Proficient in English communication, both written and verbal.
Optional
- Experience with Azure services such as Azure Monitor and Log Analytics.
- Basic knowledge of monitoring or observability tools (e.g., Prometheus, Grafana).
- Familiarity with KQL (Kusto Query Language) for data analysis in Log Analytics.
- Availability for at least 6 months; ideally 12 months or longer.
Your benefits
At Uniper, we not only reward our employees with attractive salaries, an excellent company pension and health related benefits for their hard work and dedication to shaping the future energy transition. You can also expect a supportive working culture that offers a wide range of creative and innovative ideas. We enable various flexible working arrangements, whilst also supporting with home office equipment.
Through regular training and workshops, together we work towards visualising yourself in our company as if it were your own. We support you in highlighting your individual potential, achieving your personal goals, and reaching your ambitions. We invite you to become part of our diverse company with international colleagues from more than 80 countries.
Our employees are the reason for our success. Therefore, you will find many other benefits at the local level to help you reach your potential. Energy evolutionary wanted!
Your contact
If you have any questions, please do not hesitate to contact us at:
Attention! Please apply via the button in this portal. Application documents that reach us by post will not be returned and, like those we receive by e-mail, can unfortunately not be considered!
As an employer, Uniper is committed to diversity and equal opportunities. Therefore, we encourage applications from suitably qualified individuals whose capabilities match the role requirements regardless of gender, origin, disability, age, religion, ideology, sexual identity or marital status. We live inclusion and support flexible working.
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