Ingeniero de Datos – Automatización y ETL

About the role

KrediYA, a regional fintech, is looking for a Data Engineer to automate, validate, and structure large volumes of data. The role is essential for delivering reliable information that supports strategic decisions and identifies business risks and opportunities.

Key responsibilities

• Design and develop automated processes for data analysis and processing.
• Build and optimise ETL pipelines to integrate data from multiple sources.
• Validate, clean, and structure large datasets ensuring quality and consistency.
• Generate trustworthy data outputs to aid business decision‑making.
• Implement Python‑based automations to improve operational efficiency.
• Administer Google Cloud Platform services, including Cloud Run Functions, Buckets and Secret Manager.
• Manage databases and write SQL queries for data extraction and analysis.
• Identify data‑related risks, inconsistencies and improvement opportunities.
• Document processes and enforce best practices in data handling.

Required profile

• Degree in Systems Engineering, Software Engineering, Data Science, Data Analytics or a related field.
• 2‑5 years of experience in data engineering, automation or data management.
• Strong analytical thinking, problem‑solving ability and attention to detail.
• Effective communication, teamwork and a proactive, results‑oriented attitude.

Required skills

• SQL and MySQL
• Python (including Pandas and NumPy)
• Advanced Excel and report automation
• Google Cloud Platform (GCP) – Cloud Run Functions, Buckets, Secret Manager (desirable)
• ETL design and implementation

What we offer

• Formal permanent contract with legal benefits.
• On‑site work in Ciudad de Panamá (Monday‑Friday 8 am‑5 pm, Saturday 8 am‑12 pm).
• Professional growth in a fast‑expanding regional fintech.
• Participation in high‑impact projects focused on data, automation and digital transformation.