🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines and architectures for a Swiss partner company, working at the intersection of engineering, analytics, and cloud technologies. You'll transform raw data into actionable insights and build production-ready data solutions that drive business value. This role offers strong exposure to modern cloud ecosystems and distributed computing frameworks.

🎯 What You'll Do

• Design and maintain scalable data pipelines and architectures.
• Integrate and manage data from diverse sources for reliable access.
• Develop and optimize distributed data processing workflows.
• Collaborate with data scientists to support ML model development.

📋 Requirements

• University degree in Computer Science, Mathematics, Engineering, or related field.
• Several years of experience in data engineering roles.
• Strong proficiency in Python and SQL.
• Hands-on experience with big data technologies like Hadoop, Spark, Hive, Airflow.

✨ Nice to Have

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of DevOps practices and tools like Kubernetes.
• Fluency in German and English.

🎁 Benefits & Perks

• 🏖️ Flexible working hours with hybrid and remote options.
• 💰 Profit-sharing scheme based on company performance.
• 📈 Learning and development culture with continuous skill growth.
• 🌍 Global and diverse international network.
• 🚀 High autonomy and trust in delivering your work.

📨 Hiring Process

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Team Fit Interview· 45 min