🛠 Tech Stack

💼 About This Role

You'll build and scale the core analytics infrastructure for a fast-growing Web3 technology organization. You'll design end-to-end data systems that transform raw data into trusted insights across product, engineering, marketing, sales, and finance. This role blends data engineering, analytics engineering, and platform ownership in a high-impact environment.

🎯 What You'll Do

• Own end-to-end analytics data pipelines including ingestion and transformation
• Design scalable self-serve data products like curated datasets and dashboards
• Implement data quality, observability, and reliability frameworks
• Develop key business analytics for product performance and growth

📋 Requirements

• 5+ years experience in analytics engineering or similar data platform roles
• Advanced SQL expertise in data modeling and transformation design
• Strong Python skills for data pipelines and automation
• Hands-on experience with workflow orchestration tools such as Airflow

✨ Nice to Have

• Experience with Metabase or similar BI tools
• Knowledge of SaaS metrics like LTV, CAC, and retention
• AI-native working approach for coding and automation

🎁 Benefits & Perks

• 💵 Competitive USD-based salary aligned with experience
• 📈 Stock options for company growth participation
• 🏠 Fully remote flexible work environment
• ⏰ Flexible working hours focused on output and work-life balance
• 🌐 Cutting-edge Web3 and blockchain infrastructure opportunity

📨 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