🛠 Tech Stack

💼 About This Role

You'll build scalable data pipelines on AWS and create clean, reusable datasets powering AI services and analytics. You'll ensure data reliability and governance in production.

🎯 What You'll Do

• Build and optimize scalable ETL/ELT pipelines on AWS
• Develop data models and feature-ready datasets
• Define data SLAs, quality checks, and monitoring
• Collaborate with Data Scientists, Analysts, and Software Engineers
• Contribute to platform observability and orchestration

📋 Requirements

• Solid data engineering fundamentals with Python and SQL
• Experience with AWS and modern data stack tools
• Strong data quality and monitoring mindset
• Ability to work cross-team and communicate clearly

✨ Nice to Have

• Experience with Airflow, Trino, Iceberg, or NoSQL systems
• Genuine eagerness to learn new tools quickly

🎁 Benefits & Perks

• 💰 Competitive salary + bonus
• 📈 Employee Share Programme
• 🏖️ Birthday/Special day leave
• 🏋️ Gym membership & cycle scheme
• 🌍 1 week's paid charity leave

📨 Hiring Process

Estimated timeline: 2-3 weeks

1. 1Screening call with Talent Acquisition· 30 min
2. 2Technical interview with VP Data· 60 min
3. 3Third stage interview with Data team· 45 min