Data Engineer

GFT Technologies SE; Bogotá ciudad; On-site; COP 60,000,000 - 120,000,000; Full time

Job summary

GFT Technologies SE is seeking a Data Engineer to design, build, and operate scalable data solutions in a cloud-first environment. You will develop ingestion, transformation, and storage processes to ensure data quality for analytics and business initiatives.

The role emphasizes modern data architectures, pipeline automation, and cloud platforms to enable value from data-driven insights across financial services projects.

Qualifications

• Experience designing, building, and maintaining scalable data solutions.
• Proficient in Python, SQL, and modern data architectures for analytics.
• Strong know-how of ETL/ELT and data pipeline development.
• Experience with cloud data platforms (AWS) and data orchestration tools.
• Familiarity with data quality, governance, and lineage concepts.
• Knowledge of dbt and data transformation frameworks is a plus.
• Banking/financial services project experience is a plus.

Skills

Python Development

Data Modeling

ETL/ELT Processes

Data Pipeline Design and Development

AWS (Glue, S3)

Workflow Orchestration

Relational Databases

Data Quality and Validation

Modern Data Architectures

Analytical Platforms

Git and Version Control

CI/CD for Data Pipelines

AI tooling for development/testing

dbt knowledge

Banking/Financial services domain

Data governance & lineage

Tools

Airflow

dbt

AWS Glue

SQL

Snowflake/Redshift

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)