Data Engineer

📋 Description

• Design, develop, test, optimize, and maintain scalable batch ETL and near-real-time data pipelines
• Build and evolve reliable data architectures that support machine learning, data science, business
• Ensure data is accurate, consistent, reliable, and fit for downstream use
• Identify opportunities to improve internal processes, optimize data delivery, and redesign
• Develop and maintain API integrations to accommodate data volume growth
• Collaborate with data scientists, MLOps engineers, product owners, and BI analysts

🎯 Requirements

• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or related field
• 3+ years in data engineering, data platforms, or business intelligence
• Experience implementing data warehouses, operational data stores, or data integration solutions
• Experience with large-scale relational and NoSQL databases
• Strong data modeling principles
• Understanding of modern and event-driven data architectures

🎁 Benefits

• Remote-first environment
• Competitive salary with quarterly performance bonuses
• 28 days paid annual leave
• Flexible working hours (core 10:00-15:00 local)
• Referral and flash bonuses
• High-quality professional equipment