In A Nutshell
Location
On Site Bonn, Germany
Job Type
Full-time
Experience Level
Mid-level
Deadline to apply
April 10, 2025
Play an active role in building an organization-wide cloud data warehouse and analytics platform and gain fascinating insights from our data.
Responsibilities
* Develop lean and efficient target processes by leveraging industry standards and best practices.
* Take ownership of designing and implementing scalable data architectures that meet business needs.
* Create optimized data models to ensure well-structured, high-performance databases.
* Integrate multiple data sources seamlessly while maintaining consistency and accuracy.
* Keep databases running smoothly by monitoring performance and optimizing queries.
* Safeguard data integrity by implementing security measures and ensuring compliance with privacy regulations.
* Work closely with Data Scientists, Analysts, and other teams to align the architecture with business goals.
* Guide colleagues from the department, set standards for the use of our products and solutions, and act as a data ambassador for the organization.
* Willingness to pass on your experience to colleagues and specialist departments.
Skillset
* University or College degree, ideally in (business) informatics, data science, (business) mathematics, software engineering, or a comparable field of study.
* Passion for data analysis and a commitment to advancing the organization.
* Enjoy working in a team, take responsibility for your tasks, and express your opinions.
* Strong analytical thinking and quick comprehension, with a willingness to take on new tasks.
* Service-oriented, proactive, and communicative with high quality standards, while maintaining focus on goals and working creatively on solutions.
* Very good knowledge of the Azure Tool Stack and initial experience with MS Fabric.
* Experience in designing and implementing various interfaces (including REST APIs) is a plus.
* Knowledge of data modeling for analytical databases (dimensional modeling, data vault).
* Advanced knowledge of common architectures and processes in data processing (e.g., ETL / ELT).
* Fluency in German and English, as Welthungerhilfe operates in nearly 40 countries.
Apply Now
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