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- Aufgaben: Shape and develop data analytics and AI solutions using cloud tech.
- Arbeitgeber: Join a forward-thinking team focused on transforming data into insights.
- Mitarbeitervorteile: Enjoy a collaborative environment with opportunities for growth and learning.
- Warum dieser Job: Be a data ambassador and make a real impact in an agile team.
- Gewünschte Qualifikationen: Experience in data engineering and a passion for analytics is essential.
- Andere Informationen: Opportunity to mentor colleagues and work on innovative projects.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € 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
Familiarize yourself with cloud technologies and data analytics tools that are commonly used in the industry. Being well-versed in platforms like AWS, Azure, or Google Cloud can give you a significant edge.
✨Tip Number 2
Showcase your experience in agile methodologies. Highlight any past projects where you collaborated in interdisciplinary teams, as this is crucial for the role.
✨Tip Number 3
Prepare to discuss specific use cases you've identified and how you developed technical solutions for them. This will demonstrate your problem-solving skills and ability to transform data into actionable insights.
✨Tip Number 4
Emphasize your communication skills and willingness to mentor others. As a data ambassador, your ability to guide colleagues and share knowledge will be key to your success in this role.
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 and requirements of the Data Engineer position. Highlight your experience with cloud technologies, data analytics, and AI solutions in your application.
Showcase Your 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 worked with that are relevant to the job description.
Demonstrate Your Mentorship Ability: As the role requires guiding colleagues and sharing knowledge, include examples of how you have mentored others or contributed to team learning in previous positions.
Wie du dich auf ein Vorstellungsgespräch bei Deutsche Welthungerhilfe e.V. vorbereitest
✨Understand Cloud Technologies
Make sure you have a solid understanding of cloud technologies and how they relate to data analytics and AI solutions. Be prepared to discuss your experience with specific cloud platforms and how you've utilized them in previous projects.
✨Showcase Your Collaboration Skills
Since the role involves working in agile and interdisciplinary teams, be ready to share examples of how you've successfully collaborated with different departments. Highlight any experiences where you transformed data into actionable insights through teamwork.
✨Demonstrate Data Pipeline Expertise
Be prepared to talk about your experience in developing data pipelines and visualizations. Discuss specific tools and technologies you've used, and be ready to explain how you ensure data quality and integrity throughout the process.
✨Emphasize Your Mentorship Abilities
As a data ambassador, you'll need to guide colleagues and set standards. Share examples of how you've mentored others in your field, and discuss your approach to sharing knowledge and best practices within a team.
