Data Engineer: Scalable Pipelines & Cloud (AWS)

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

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.