🛠 Tech Stack

💼 About This Role

You'll build scalable data pipelines and data marts for the Risk Domain, partnering directly with business stakeholders to bridge business and engineering. You'll define key risk metrics and ensure production-ready solutions on top of the DWH.

🎯 What You'll Do

• Collaborate with Risk stakeholders to translate data needs into ETL requirements
• Decompose risk domains into clear and maintainable data models
• Design logical data models and support scalable ETL pipelines
• Define and align key risk metrics with business stakeholders

📋 Requirements

• 2-3 years of experience as Data Analyst / Analytics Engineer or System Analyst in DWH
• Strong domain expertise in Risk or Finance
• Strong hands-on experience with SQL writing complex queries
• Understanding of data modeling and data warehousing concepts

✨ Nice to Have

• Knowledge of data analysis techniques
• Problem-solving and troubleshooting skills
• Communication and collaboration skills

🎁 Benefits & Perks

• 🏠 Relocation support to hubs in Cyprus, Serbia, Georgia, or Kazakhstan
• 💻 Flexible remote work or office
• 📚 Education budget for language lessons, professional training, certifications
• 🧘 Wellness budget for mental health and fitness
• 🏖️ 20 days annual leave and paid sick leave

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min