Auf einen Blick
- Aufgaben: Shape and develop data analytics solutions using cloud technologies in an innovative team.
- Arbeitgeber: Join Welthungerhilfe, a forward-thinking NGO focused on data-driven decisions for global impact.
- Mitarbeitervorteile: Enjoy fair compensation, flexible work arrangements, and diverse learning opportunities.
- Warum dieser Job: Be part of a dedicated team tackling unique challenges while making a difference worldwide.
- Gewünschte Qualifikationen: University degree in relevant fields; strong SQL skills and experience with Azure tools preferred.
- Andere Informationen: Fluency in English required; French is a plus. Embrace diversity and inclusivity in the workplace.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
The position is to be filled as soon as possible, with an unlimited contract duration. Employment location will be Bonn, Germany.
We are the fairly new Data Analytics & AI (D&A) team. In collaboration with colleagues from all areas of our organization, we develop solutions and approaches in the large cosmos of advanced analytics. Our strategic focus is on data-based learning.
Your opportunity: You can play an active role in building an organization-wide cloud data warehouse and analytics platform and gain fascinating insights from our data. You will be part of a dedicated, innovative team that drives data-driven decisions and always keeps the well-being of our organization in mind.
Our challenges as an NGO are special: your stakeholders may be part of the donor service in Bonn or project managers in our 37 project countries. On the ground, hurdles such as power cuts or a lack of internet connections can make data collection difficult. It’s not always easy, but it is challenging. Are you up for it? Then we look forward to getting to know you!
Your responsibilities
- You actively shape the design and development of data analytics and AI solutions based on cloud technologies.
- For the joint development of analytical products with the business department, you will manage collaboration in agile and interdisciplinary teams to transform data into insights.
- You 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 organization.
- You identify use cases, develop their technical conception and implementation through to operation and implement the associated data pipelines including visualizations in dashboards.
- Together 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 concept.
- You are also willing to pass on your experience to colleagues and specialist departments.
Your profile
- You have a university or college degree, ideally in (business) informatics, data science, (business) mathematics, software engineering or a comparable field of study.
- You convince us with your personality: your passion for the topic of data analysis paired with your will to move the organization forward together with us.
- You enjoy working in a team, take responsibility for your own tasks and express your opinion.
- Thanks to your quick comprehension and strong analytical thinking, you are also willing to take on new tasks.
- You are service-oriented, proactive and communicative, have high quality standards, but do not lose sight of your goal and work analytically and quickly with fun on creative solutions.
- You have very good SQL knowledge – in addition, experience with the Azure Tool Stack, MS Fabric and MS PowerBI would make it easier for you to get started.
- If you have already gained experience in the design and implementation of various interfaces (including REST APIs), that would be a plus.
- You already have knowledge of data modeling of analytical databases (dimensional modeling, data vault).
- You have advanced knowledge of common architectures and processes in data processing (e.g. ETL / ELT).
- You are fluent in English, as Welthungerhilfe works in almost 40 countries – French is not a must, but a plus.
What we offer
- Fair Compensation: A fair and equal remuneration based on a transparent salary scale.
- Work-Life Balance: Enjoy flexible working arrangements to support a balanced lifestyle.
- Modern & Agile Work Environment: Be part of a forward-thinking organization that fully embraces digitalization and innovation across all areas.
- Personal & Professional Growth: Access diverse learning and development opportunities to advance your career.
- Team: Join our dedicated and diverse teams, where passion, expertise, and joy come together to create a better world.
In addition, Welthungerhilfe offers numerous other benefits, which are listed under Our benefits .
*Welthungerhilfe values diversity and ensures an inclusive, non-discriminatory working environment. We welcome applications from suitably qualified people from all sections of the community.
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Data Engineer* Arbeitgeber: Welthungerhilfe
Kontaktperson:
Welthungerhilfe HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer*
✨Tip Number 1
Familiarize yourself with the specific challenges faced by NGOs, especially in data collection. Understanding issues like power cuts or internet connectivity can help you demonstrate your problem-solving skills during the interview.
✨Tip Number 2
Highlight your experience with cloud technologies and data pipelines. Be prepared to discuss specific projects where you've successfully implemented these solutions, as this will show your practical knowledge and readiness for the role.
✨Tip Number 3
Showcase your teamwork and communication skills. Since you'll be working in agile, interdisciplinary teams, sharing examples of how you've collaborated effectively in the past can set you apart from other candidates.
✨Tip Number 4
Brush up on your SQL and familiarize yourself with the Azure Tool Stack, MS Fabric, and MS PowerBI. Being able to speak confidently about these tools will demonstrate your technical proficiency and eagerness to contribute from day one.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer*
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the responsibilities and requirements of the Data Engineer position. Highlight your relevant experience in data analytics, cloud technologies, and teamwork.
Tailor Your CV: Customize your CV to reflect the skills and experiences that align with the job profile. Emphasize your SQL knowledge, experience with Azure Tool Stack, and any relevant projects that showcase your ability to work with data pipelines and analytics.
Craft a Compelling Cover Letter: Write a cover letter that expresses your passion for data analysis and your desire to contribute to the organization’s mission. Mention specific examples of how you have successfully collaborated in teams and tackled challenges in data collection.
Highlight Soft Skills: In your application, don't forget to mention your soft skills such as communication, proactivity, and analytical thinking. These are crucial for working effectively in interdisciplinary teams and driving data-driven decisions.
Wie du dich auf ein Vorstellungsgespräch bei Welthungerhilfe vorbereitest
✨Show Your Passion for Data
Make sure to express your enthusiasm for data analysis and how it can drive organizational success. Share specific examples of projects where you've used data to make impactful decisions.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with SQL, Azure Tool Stack, MS Fabric, and MS PowerBI. Highlight any relevant projects where you implemented data pipelines or worked with analytical databases.
✨Emphasize Team Collaboration
Since the role involves working in agile and interdisciplinary teams, share experiences that showcase your ability to collaborate effectively. Discuss how you’ve contributed to team goals and supported colleagues in their tasks.
✨Prepare for Real-World Challenges
Understand the unique challenges faced by NGOs, such as data collection issues in different countries. Be ready to discuss how you would approach these challenges and provide innovative solutions.