Job Summary:
Data & Analytics function is dedicated to designing and delivering robust integral data platforms that enable data ops, business solutions and high-quality analytics. The Data Engineer (Associate) designs, builds, and maintains data pipelines and analytics-ready datasets that power reporting, advanced analytics, and data products. This role focuses on implementing well-defined ingestion and transformation patterns, ensuring data quality and reliability, and collaborating closely with analytics, data science, and business stakeholders to deliver trusted data assets.

Responsibilities:
- Design, build, and maintain batch and/or streaming data pipelines and contribute to the development of reusable data pipeline components, templates and utilities using established engineering standards, patterns, and reference architectures.
- Assist with onboarding new data sources by performing source data profiling, documenting assumptions, and validating data completeness and quality.
- Implement data transformations and analytical models to produce curated,



analytics‑ready datasets that support reporting and advanced analytics use cases.
- Support schema evolution and change management to minimize downstream impact when source data changes.
- Collaborate with data analysts, data architects, and product teams to understand data requirements and translate them into well‑defined technical solutions.
- Support optimization efforts by identifying inefficient queries or unnecessary data processing patterns.
- Create and maintain clear documentation for pipelines, data models, and business logic to support transparency, reuse, and operational support.
- Participate in code reviews, testing, and CI/CD processes to ensure engineering quality and consistency.
- Support production operations, including incident triage, root cause analysis, and corrective actions, in partnership with Data Ops.
- Assist in maintaining dashboards or alerts that surface data reliability issues before

📌 Data Engineer Associate (Bogotá)
🏢 Auxis
📍 Bogotá