🛠 Tech Stack

💼 About This Role

You'll build the semantic layer for AI agents and stakeholders in the Treasury Exposure domain, partnering with business to deliver high-impact data products. You'll lead projects from definition to delivery, ensuring reliability through proactive monitoring and alerting frameworks.

🎯 What You'll Do

• Partner with business to gather requirements for data products
• Lead projects from definition to delivery
• Monitor and govern data products for reliability
• Deliver data models with version control, testing, CI/CD
• Manage pipeline orchestration using Airflow

📋 Requirements

• 4+ years in analytics engineering with dbt, SQL, and data modeling
• High proficiency in SQL for building and optimizing complex models
• Finance domain knowledge: P&L, FX, exposure, reconciliation
• Experience with Domain-Driven Design

✨ Nice to Have

• Spanish fluency
• Genuine curiosity for Domain-Driven Design

🎁 Benefits & Perks

• 🚀 Innovation and movement encouraged
• 🤝 Collaborative environment
• 🌍 Global growth opportunities
• 💻 Hybrid work (4 days office / 1 day WFH)

📨 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