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.
Apply data quality checks, validation rules, and monitoring; support the investigation and resolution of data issues and defects.
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 partne

📌 Data Engineer Associate (Bogotá)
🏢 Auxis
📍 Bogotá