🛠 Tech Stack

💼 About This Role

You'll join Ebury's Analytics Engineering team to build and maintain the Data Platform, working on end-to-end projects from requirements to delivery. You'll serve hands-on data models using solid software engineering practices, and collaborate with stakeholders to drive data-informed decision-making.

🎯 What You'll Do

• Gather requirements and define action plans.
• Deliver data models using version control, testing, CI/CD.
• Design and maintain ELT/ETL data pipelines.
• Manage pipeline orchestration using Airflow.

📋 Requirements

• 2+ years of data/analytics engineering experience.
• Proficiency in SQL.
• Mid-level experience with Python.
• Experience with dbt and Google Cloud Platform (BigQuery).

✨ Nice to Have

• Familiarity with Looker and DataStudio.
• Experience with dimensional modelling.
• Advanced English; Spanish a plus.

🎁 Benefits & Perks

• 🏖️ Hybrid work (4 days on-site, 1 remote).
• 💰 Competitive compensation.
• 📈 Career growth in a fast-growing fintech.
• 🌍 Global team with diverse culture.
• 🏢 Modern data stack and tools.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min