Ingeniero de Datos, Especialista en Business Intelligence
FindasenseBogota, Bogota, Capital District, Colombia
Posted July 17, 2025
Full Time
About the Company
We are a global Brand Experience company with consulting, agency and technology integrator capabilities, who believe in business as a positive force for change. Our consulting, solutions and products allow companies to create a frictionless consumer journey through all channels (phone, social, web, mobile, retail, etc). We use the power of data science to generate personalized experiences and execute strategies by creating relevant content. With a mission to innovate and transform the way organizations relate to people, we create global and local solutions to drive the digital transformation of our customers, with more than 300 employees trained as innovation leaders, around 20 countries around the world: United States, Argentina, Chile, Peru, Costa Rica, Colombia, Panama, Guatemala, Ecuador, Dominican Republic, Spain and Mexico. We have a deep and multidimensional knowledge of the consumer in more than 10 industries, obtained by working as a partner with companies such as: L'Oreal, The Coca-Cola Company, Kimberly Clark, Abbott, FOX, Huawei, Bimbo, Lenovo, Banco Santander, Electronic Arts, IE Business School, Orange and Bayer among others.
Job Description
We are seeking a highly motivated Data Engineer Specialist in Business Intelligence to join our team, responsible for building and maintaining the data architecture on our business intelligence platform, and creating interactive dashboards and real-time insights.
Requirements
- Deep understanding of database logic and its properties
- Understanding of data storage concepts, data modeling, and query optimization
- Experience in structuring databases, for example, in SQL Server and MySQL
- Knowledge and high experience in ETL processes
- Solid knowledge of Python
- DAX measurement expertise
- Basic knowledge of data integration APIs
- Google Workspace and Microsoft Office management
- API connections, server connections, SFTPS, basic knowledge of Azure
- Experience in data science projects that have quantitatively impacted the business
- Analytical skills, with high curiosity about data, goal-oriented, proactive, and team-oriented
- Commitment to data quality and management
Benefits
- 23 days of annual vacation
- Pre-paid medical care
- Connectivity allowance for work-related expenses
- Hybrid work environment
- Flexible schedule
- Opportunities for professional growth
- Volunteer work option (40 hours/year)
