Data Engineer

GFT Technologies SE; Bogotá; Hybrid; COP 100,440,000 - 167,400,000; Full time

Job summary

GFT Technologies SE is seeking a Data Engineer in Bogotá to design, build, and maintain scalable data solutions. You will develop data ingestion, transformation, and storage pipelines to ensure analytics-ready data for business initiatives.

Applicants should be proficient in Python, SQL, cloud services (AWS), and modern data architectures such as data lake, lakehouse, and data warehouse. Collaboration with analytics teams and adherence to data governance is expected.

Qualifications

• Demonstrated experience designing and maintaining scalable data solutions.
• Knowledge of data ingestion, transformation, and storage processes.
• Experience with cloud platforms and data architectures.

Skills

Python Development

Data Modeling

ETL/ELT Processes

Data Pipeline Design

AWS (Glue, S3)

Workflow Orchestration

Relational Databases

Data Quality

Modern Data Architectures

Analytical Platforms

Git and Version Control

CI/CD for Data Pipelines

AI Tools for Development

Tools

dbt

Airflow

Job description

Date: 13 Oct 2026

Company: GFT Technologies SE

Data Engineer with experience designing, building, and maintaining scalable and efficient data solutions. Responsible for developing data ingestion, transformation, and storage processes, ensuring data availability, quality, and reliability for analytics and business initiatives. Experienced in modern data architectures, pipeline automation, and cloud platforms, enabling organizations to generate value through data-driven solutions.

Technical Skills

• Python Development
• Data Modeling
• ETL/ELT Processes
• Data Pipeline Design and Development
• AWS (Glue, S3)
• Workflow Orchestration (Airflow, AWS Step Functions, or similar)
• Relational Databases (SQL Server, PostgreSQL, MySQL, Oracle)
• Data Quality and Validation
• Modern Data Architectures (Data Lake, Lakehouse, and Data Warehouse)
• Analytical Platforms (Redshift, Snowflake, or similar)
• Git and Version Control
• CI/CD for Data Pipelines
• Experience using Artificial Intelligence tools to support development, testing, and documentation

Nice to Have

• Knowledge of dbt or similar data transformation frameworks.
• Experience in banking or financial services projects.
• Knowledge of lending products and financial data ecosystems.
• Understanding of data governance, security, and data lineage.
• AWS (Glue, S3)