Senior AI & Data Engineer

About the role

We are looking for a Senior AI & Data Engineer to join our data and analytics team in Quito. You will design, build, and maintain scalable cloud‑based data solutions on Databricks, enabling advanced analytics and data‑driven decision‑making across the organization.

Key responsibilities

• Design, develop, and optimise data pipelines and integration workflows in Databricks.
• Create and manage Lakehouse and data‑warehouse solutions, ensuring performance and reliability.
• Implement robust ETL/ELT processes using Python and PySpark for large‑scale structured and unstructured data.
• Collaborate with data architects, analysts, and business stakeholders to translate requirements into technical solutions.
• Optimise data models, partitioning strategies, and query performance for analytics use cases.
• Implement data quality checks, monitoring, and alerting to maintain data integrity.
• Troubleshoot pipeline, infrastructure, and processing issues.
• Contribute to best practices in code quality, documentation, testing, and governance.
• Partner with DevOps to support CI/CD pipelines and infrastructure automation.
• Ensure security, compliance, and access‑control standards in AWS environments.

Required profile

• 5+ years of experience in data engineering and cloud‑based data platforms.
• Strong expertise with Databricks, Delta Lake, and modern big‑data technologies.
• Advanced proficiency in Python and PySpark for large‑scale data transformation.
• Solid understanding of data lake, data warehouse, and modern data architecture principles.

Required skills

• Databricks
• Delta Lake
• Python
• PySpark
• AWS
• ETL/ELT processes
• Data pipelines
• Data modeling
• CI/CD
• Lakehouse architecture