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# Finance Data Developer

- **Company:** Rapyd Latam
- **Location:** UK
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Tableau (Software), Snowflake, Looker Analytics
- **Published:** June 25, 2026
- **Apply:** https://www.rapyd.net/company/careers/positions/finance-data-developer-bogota-colombia/

## About the Role

* Experience: 1-2 years of experience developing applications or automations with Python.
 * Data Skills: Working knowledge of SQL and relational databases (PostgreSQL, MySQL, or similar) for data extraction and analysis.
 * Version Control: Familiarity with Git and software development best practices, including documentation and code versioning.
 * Mindset: Strong analytical and problem-solving skills, with the ability to learn quickly and work collaboratively in a fast-paced environment.
 * Languages: Fluent English (written and verbal).

Nice to Have

 * Experience with data visualization tools such as Looker, Tableau, or similar.
 * Exposure to cloud data platforms such as BigQuery, Snowflake, or Redshift.
 * Basic understanding of financial, billing, or accounting processes.

## Description

* Design, develop, and maintain Python applications, services, and automations to streamline Finance and Billing processes across Rapyd LATAM.
 * Design, manage, and optimize relational databases and data warehouse models, ensuring data quality, integrity, and scalability.
 * Write efficient SQL queries to support financial reporting, reconciliations, audits, and operational analysis.
 * Develop and maintain executive dashboards, data models, and self-service analytics in Tableau or Looker to provide real-time business insights.
 * Collaborate with Finance and Technology teams throughout the full software development lifecycle, from requirements gathering to deployment and production support.
 * Identify opportunities to automate manual processes, improve operational efficiency, and strengthen financial controls through technology.
 * Produce and maintain clear technical documentation, including data models, integration specifications, process flows, and operational runbooks.


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