We are KiWi, a Swiss-Mexican startup whose mission is to make financial & technology services accessible to every small businesses in emerging markets. Our app & platform allow thousands of small merchants to accept cards, get micro-loans, manage their sales, please their customers, and sell new services in a breeze.

Along our challenge-full & growth-oriented journey, we are looking for an experienced and talented Data Engineer to strengthen our teams.

Your mission:

• Own data pipelines and lead their iterations
• Organize data mining and collection procedures
• Ensure data quality, accessibility and integrity
• Share data expertise and support software engineers in their data management
• Test performance and monitor data-driven products
• Contribute to wider data culture initiatives in the organisation
• Collaborate & synchronize often with other Data Analyst, Data Scientist, and Project Managers
• Deliver product evolution with end-to-end quality assurance and good documentation
• Report to the CTO

Your profile:

• 2+ years in a previous Data Engineer or Data Science related (with a strong focus on getting data to correct format & location) position
• ETL vs ELT has not secret for you
• Heavy practice of Python/SQL and familiar with Airflow
• Solid understanding of data modelling technics and database layouts (SQL/NoSQL)
• Experience with Django database structure, DBT or machine learning is a plus
• Willingness to work in startup and have a strong impact
• Fluent in English (written/verbal), knowledge of Spanish/French is a plus
• Previous experiences in fintech and international-scoped product are a plus

• Within a talented, dynamic, multicultural & impact-driven team
• World-class commercial & technical partners
• Fun, safe, open and empowering environment where the future of financial inclusion is shaped
• Work in one of our offices full-time or hybrid remote (2-3 days a week)
• Flexible work hours and ability to visit other offices
• KiWi values entrepreneurship and include a stock options package in compensations
• Ongoing training & individual perks offering
• Interview process: screening > short introductory call > take-home challenge > onsite or remote interview > offer
• Starting date: as soon as available