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- Aufgaben: Shape and develop data analytics and AI solutions using cloud technologies.
- Arbeitgeber: Join a dynamic team focused on transforming data into actionable insights.
- Mitarbeitervorteile: Enjoy a collaborative work environment with opportunities for professional growth.
- Warum dieser Job: Be a data ambassador and make a real impact in an agile, interdisciplinary team.
- Gewünschte Qualifikationen: Experience in data engineering and a passion for analytics are essential.
- Andere Informationen: Opportunity to mentor colleagues and contribute to innovative projects.
Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € pro Jahr.
You actively shape the design and development of data analytics and AI solutions based on cloud technologiesFor the joint development of analytical products with the business department, you will manage collaboration in agile and interdisciplinary teams to transform data into insightsYou guide colleagues from the department, set standards for the use of our products and solutions and, like everyone in the team, are a data ambassador for the organizationYou identify use cases, develop their technical conception and implementation through to operation and implement the associated data pipelines including visualizations in dashboardsTogether with our Data Architect, you will develop a sustainable infrastructure and data pipelines to supply analytical products from different data sources, including the implementation of a data protection conceptYou are also willing to pass on your experience to colleagues and specialist departments
Data Engineer (gn) Arbeitgeber: Deutsche Welthungerhilfe e.V.
Kontaktperson:
Deutsche Welthungerhilfe e.V. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer (gn)
✨Tip Number 1
Fokussiere dich auf deine Erfahrungen mit Cloud-Technologien. Da wir Lösungen auf Basis von Cloud-Technologien entwickeln, ist es wichtig, dass du konkrete Beispiele für Projekte oder Technologien, die du verwendet hast, in den Gesprächen hervorhebst.
✨Tip Number 2
Bereite dich darauf vor, über agile Methoden zu sprechen. Da du in interdisziplinären Teams arbeiten wirst, ist es hilfreich, wenn du deine Erfahrungen mit agilen Arbeitsweisen und Teamdynamiken teilst, um zu zeigen, dass du gut ins Team passt.
✨Tip Number 3
Sei bereit, deine Fähigkeiten im Bereich Datenvisualisierung zu demonstrieren. Da du Dashboards erstellen wirst, ist es wichtig, dass du Beispiele für deine bisherigen Arbeiten oder Tools, die du verwendet hast, präsentieren kannst.
✨Tip Number 4
Zeige deine Bereitschaft zur Wissensweitergabe. Da du auch Kollegen anleiten wirst, ist es vorteilhaft, wenn du Beispiele dafür nennst, wie du in der Vergangenheit Wissen geteilt oder Schulungen durchgeführt hast.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer (gn)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Data Engineer as described in the job listing. Highlight your experience with cloud technologies, data analytics, and AI solutions in your application.
Showcase Collaboration Skills: Since the role involves working in agile and interdisciplinary teams, emphasize your teamwork and collaboration skills. Provide examples of past projects where you successfully collaborated with different departments.
Highlight Technical Expertise: Detail your technical skills related to data pipelines, infrastructure development, and visualization tools. Mention specific technologies or frameworks you have used that align with the job requirements.
Demonstrate Mentorship Experience: Since the position requires guiding colleagues and sharing knowledge, include any relevant experience you have in mentoring or training others. This will show your ability to be a data ambassador within the organization.
Wie du dich auf ein Vorstellungsgespräch bei Deutsche Welthungerhilfe e.V. vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud technologies and data pipelines. Highlight specific projects where you've designed or implemented data analytics solutions, and be ready to explain the technical details.
✨Demonstrate Agile Collaboration
Since the role involves working in agile and interdisciplinary teams, share examples of how you've successfully collaborated with different departments. Emphasize your ability to adapt and communicate effectively in a team setting.
✨Emphasize Data Protection Awareness
Given the importance of data protection in this role, be sure to discuss your understanding of data privacy concepts and any relevant experience you have in implementing data protection measures in your projects.
✨Be a Data Ambassador
Express your enthusiasm for being a data ambassador within the organization. Share how you’ve previously guided colleagues or departments in using data products and solutions, and your approach to fostering a data-driven culture.
