Senior Data Engineer

📋 Description

• Design, develop, maintain, and scale Zero-ETL data pipelines for analytics
• Build and optimise data models and analytics workloads in Amazon Redshift
• Develop and manage workflow orchestration with Apache Airflow
• Integrate data from multiple sources, ensuring consistency, availability, and reliability
• Maintain high standards for data quality, accuracy, and platform availability
• Monitor, troubleshoot, and resolve data platform issues from identification to root-cause analysis

🎯 Requirements

• 5+ years of experience in Data Engineering or related field
• Strong expertise in SQL and relational databases
• Hands-on experience with AWS data services, especially Redshift and RDS
• Proven experience with Airflow workflows
• Understanding of ETL concepts, data pipelines, and scalable processing
• Experience designing scalable data warehouse architectures and analytical models

🎁 Benefits

• Remote-first environment with flexible distributed collaboration
• Competitive compensation with performance-based bonuses
• 28 days of paid annual leave
• Flexible working hours with core hours 10:00-15:00 in local TZ
• Performance incentives and referrals
• Premium remote equipment