Working Student - GitLab Platform Analytics and Automation iv)

#WeAreIn to create tiny chips and big careers. The future won't wait... why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?, * Shape the future: You support the analysis and optimization of the corporate GitLab platform to improve efficiency and resource utilization

• Take responsibility: You develop scripts and automation solutions to identify and clean up obsolete GitLab resources such as artifacts, duplicate repositories, and inactive or large projects
• Strength in Numbers: You collect, aggregate, and analyze operational and usage data from GitLab and related systems
• Holistic overview: You analyze platform usage patterns and repository structures to identify optimization opportunities and promote best practices
• Be Creative: You create dashboards, reports, and visualizations using analytics tools such as Grafana, Tableau, or ELK
• Focus on the future: You support data-driven initiatives to understand developer behavior, platform adoption, and usage trends, * Working part-time: The focus is on studies. That's why working as a student employee during lecture period is limited to a maximum of 20 hours per week.
• Proper students (according to the German law) are welcome: To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree programme. You must not be in a semester of leave. We look forward to welcoming you to our team for at least 6 months.
• You should live close to the site: For good collaboration, it is important to us that you can come to the office regularly to integrate to the team.

• Study Field: You are currently enrolled in a Bachelor's or Master's degree in Computer Science, Informatics, Software Engineering, Data Analytics, Artificial Intelligence, or a comparable technical field
• (Work) experience: You have initial experience in scripting or programming languages such as Python and a basic understanding of Git, GitLab, and DevSecOps or CI/CD concepts
• Interests: You are interested in data analytics, reporting, visualization, and Generative AI technologies and their application in automation and software engineering
• Work Style: You work in a structured, proactive, and independent manner while collaborating effectively within a team
• Skills: You ideally have knowledge of tools and platforms such as Grafana, Tableau, ELK Stack, Docker, Kubernetes, Linux, or similar technologies
• Language Skills: You have very good written and spoken English skills

Please attach the following documents to your application:

• CV in English
• Certificate of enrollment at university
• Latest grades transcript (not older than 6 months)
• High school report

Ingenious Technologies is a leading independent marketing technology provider. With the cloud-based Ingenious Enterprise platform, companies across all industries can aggregate, structure, enrich and analyse all marketing data collected. Thanks to real-time processing and a high level of automation, reliable data sets are available for clients to make agile marketing decisions.