Data Engineer

📋 Description

• Support challenging agile projects covering the conceptual and technical design, development and
• Take on data-engineering, business-analysis and solution-design tasks and build knowledge of the
• Use modern methods and technologies to design and implement highly efficient, transparent and
• Progressively take greater ownership of your topics and lead subprojects and smaller project teams
• Contribute to internal initiatives, help develop them and put your own ideas into practice

🎯 Requirements

• Successfully completed university degree, for example in computer science, business information
• Ideally, relevant practical project experience in the conceptual design and implementation of data
• Initial experience in conceptual data modelling and practical data engineering, plus at least three
• Experience with cloud technologies such as GCP, Azure and AWS, and with Big Data or enterprise-wide
• Some experience in consulting or banking environments
• Collaborative team player with strong analytical and conceptual skills

🎁 Benefits

• Prestigious clients and exciting projects
• Continuous learning and development (training, certifications, full access to Udemy)
• Flexible work environment, ability to work from home office
• Private health care and paid sick days
• 25 vacation days (regardless of age)
• Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar