We seek a detail-oriented and proactive Data Engineer to optimize the collection, calculation, and reporting of key business KPIs. In this role, you will collaborate with department leaders to define strategic metrics, automate data workflows, and create actionable visualizations for executives and investors.

Requirements:
- Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field.
- 3+ years of experience in Data Engineering, data analysis, or a related role.
- Advanced SQL proficiency and experience with data visualization tools (Power BI, Tableau, Looker).
- Experience with ETL, data warehousing, and cloud platforms (AWS, GCP, Azure).
- Proficiency in Python or R for data manipulation and pipeline automation.
- Ability to integrate CRM, financial tools, and web analytics into cohesive reporting systems.
- Advanced Excel and strong communication skills for both technical and non-technical audiences.

Responsibilities:
- Define and align KPIs with sales, marketing, operations, and finance leaders.
- Ensure data accuracy and consistency across metrics.
- Develop and optimize automated data pipelines from databases, APIs, and external tools.
- Implement systems for automated KPI calculations and updates.
- Design dashboards and reports using data visualization tools to facilitate decision-making.
- Present clear, data-driven reports with strategic insights to executives and investors.
- Identify opportunities to enhance data infrastructure and implement industry best practices.

Location: Remote - El Poblado, Medellín, Antioquia, Colombia

Skills required for this job:

Data analysis
Data engineering
ETL (Extract, transform, load)
Microsoft Azure
Python
SQL