Senior Data Engineer

📋 Description

• Design, develop, maintain, and continuously improve scalable Zero-ETL data pipelines supporting
• Build, optimise, and maintain data models and analytical workloads in Amazon Redshift.
• Develop and manage workflow orchestration using Apache Airflow, ensuring reliable and maintainable
• Integrate data from multiple internal and external sources while maintaining consistency
• Establish and maintain high standards for data quality, accuracy, consistency, and platform
• Monitor, troubleshoot, and resolve data platform issues, taking ownership from initial

🎯 Requirements

• 5+ years of professional experience in Data Engineering or a closely related field.
• Strong expertise in SQL and relational database technologies.
• Hands-on experience with AWS data services, particularly Amazon Redshift and Amazon RDS.
• Proven experience developing, maintaining, and troubleshooting Apache Airflow workflows.
• Strong understanding of ETL concepts, data pipeline design, and scalable data processing.
• Experience designing scalable data warehouse architectures and analytical data models.

🎁 Benefits

• Remote-first environment: Work remotely with flexibility designed around distributed collaboration.
• Competitive compensation: Competitive salary with individual performance-based bonuses paid
• 28 days of paid annual leave: Generous time off to support sustainable work and personal wellbeing.
• Flexible working hours: Core hours from 10:00 to 15:00 in local time zones, with flexibility
• Performance incentives: Access to referral bonuses and additional flash bonuses.
• Premium equipment: Top-of-the-line equipment provided to support an effective remote setup.