[Job- 26902] Mid Level Data Engineer, Colombia

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.  We are seeking a Mid-Level Data Engineer to support the build and operation of Azure-based data pipelines. This role focuses on execution, working under the guidance of a Senior Data Engineer and Data Architect to deliver reliable, business-ready datasets. Responsibilities: - Build and maintain Azure Data Factory (ADF) pipelines - Implement SQL-based transformations and data cleansing logic - Ingest data from APIs, flat files, and relational databases - Perform data validation, reconciliation, and issue remediation - Monitor pipeline executions and resolve routine failures - Document pipelines, transformations, and data logic - Participate in code reviews and design walkthroughs Requirements: - Advanced English level - Years of data engineering experience - Hands-on experience with Azure Data Factory - Solid SQL skills (joins, aggregations, basic performance awareness) - Experience working with APIs or structured data ingestion - Familiarity with Azure Data Lake or similar cloud storage - Ability to follow defined patterns and engineering standards Nice to Have - Exposure to financial or operational reporting data - Experience supporting BI or analytics use cases - Familiarity with data quality or testing frameworks - Success Indicators - Reliable delivery of assigned pipelines and transformations - Low-defect, well-documented implementations - Effective collaboration with senior engineers - Steady ramp-up with decreasing oversight over time #LI-LO1