Data Engineer

Ridecell is seeking a Data Engineer to join their team and play a crucial role in building and maintaining their data infrastructure. This position offers an opportunity to work with a leading provider of fleet orchestration solutions, helping modernize and optimize fleet businesses through data-driven intelligence.

As a Data Engineer, you'll be responsible for owning and evolving data pipelines from ingestion to delivery, building and maintaining the data warehouse, and ensuring data reliability and security at scale. You'll collaborate closely with product, engineering, and business teams to understand and meet data needs while making data accessible across the company.

The ideal candidate brings 2-4 years of experience in data engineering or related backend roles, with strong SQL skills and experience with PostgreSQL or BigQuery. You should be comfortable with ETL/ELT pipelines, data modeling, and cloud tools (AWS/GCP), as well as tools like dbt, Airflow, Kafka, and Spark. Strong programming skills in Python or similar languages are essential, along with a commitment to clean code and clear documentation.

Ridecell powers some of the most successful fleet businesses across Europe and North America, including Arval, Merchants Fleet, and KINTO by Toyota Sweden. Based in San Francisco with offices globally, including Tokyo, Paris, Bordeaux, Berlin, and Pune, this role offers the opportunity to work with a diverse, international team while solving complex data challenges in the automotive and mobility sector.

This is an excellent opportunity for a data professional who wants to make a significant impact in the automotive and mobility industry while working with modern data technologies and practices. You'll be instrumental in helping Ridecell deliver superior customer experiences through data-driven solutions.