Data Engineer at Ridecell

You will build data processing and analysis systems on some of the largest fleet and leasing businesses in Europe - companies including Arval BNP Paribas Group and KINTO by Toyota. Critical operational and financial decision making on these fleets is made every day by our data platform processing 12M+ events a day across 500K+ managed assets in 14+ countries. Our Engineering team owns the entire technical backend that powers this capability, running on top of Postgres, Trino, Parquet, Dagster, Superset, and more, and deployed anywhere from AWS to fully private clouds inside customers’ perimeters. Every day they collaborate to design new product features, and use help from AI coding harnesses to implement new product features, fix defects, refactor, re-engineer systems, and launch products. As a Data Engineer on our team, you will be given ownership of one or more disparate data systems and work to coral them into structured and coherent data warehouses. In addition, depending on your skill set, the team will look up to you as a specialist for help with creating machine learning models to better analyze business data and for help resolving difficult database performance and systems