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Data Engineer

GFT Technologies gft.com Open
Bogotá Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at GFT Technologies. Bogotá.

Pay not stated Data Engineer salary

RoleData Engineering
SeniorityMid-level
LocationBogotá
PostedOct 13, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain scalable data systems that ingest, transform, and store information for analytics and business work
  • Automate data pipelines and support modern architectures across cloud platforms
  • Keep data available, reliable, and validated for downstream use

What you bring

  • You bring experience developing in Python and designing data pipelines, including ETL or ELT workflows
  • You have hands-on experience with AWS services such as Glue and S3, plus a workflow orchestration tool
  • You can work with relational and NoSQL databases, data quality checks, and analytical platforms
  • You use Git and CI/CD practices for data pipelines, and AI tools to assist development, testing, or documentation

Who this fits

This mid-level role suits a data engineer focused on building dependable pipelines and data solutions for analytics and business needs. The listed preferred experience includes banking or financial projects, lending data, dbt, and data governance, security, or lineage.

From the employer

Data Engineer (ENG)

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)
  • NoSQL Databases (MongoDB, DynamoDB, Cassandra, or similar)
  • 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.

Data Engineer (ESP)

Profesional con experiencia en el diseño, construcción y mantenimiento de soluciones de datos escalables y eficientes. Responsable de desarrollar procesos de ingesta, transformación y almacenamiento de datos, garantizando su disponibilidad, calidad y confiabilidad para iniciativas analíticas y de negocio. Cuenta con experiencia en arquitecturas modernas de datos, automatización de pipelines y plataformas cloud, contribuyendo a la generación de valor a través de los datos.

Skills Técnicos

  • Desarrollo en Python
  • Modelado de Datos
  • Procesos ETL/ELT
  • Diseño y Desarrollo de Data Pipelines
  • AWS (Glue, S3)
  • Orquestación de Procesos (Airflow, AWS Step Functions o similares)
  • Bases de Datos Relacionales (SQL Server, PostgreSQL, MySQL, Oracle)
  • Bases de Datos No Relacionales (MongoDB, DynamoDB, Cassandra o similares)
  • Calidad y Validación de Datos
  • Arquitecturas Modernas de Datos (Data Lake, Lakehouse y Data Warehouse)
  • Plataformas Analíticas (Redshift, Snowflake o similares)
  • Git y Control de Versiones
  • CI/CD para Data Pipelines
  • Manejo de herramientas de Inteligencia Artificial para apoyar el desarrollo, las pruebas y la documentación

Deseable

  • Conocimiento de dbt o frameworks similares de transformación de datos.
  • Experiencia en proyectos del sector bancario o financiero.
  • Conocimiento de productos de crédito y ecosistemas de datos financieros.
  • Conocimientos de gobierno, seguridad y linaje de datos.
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.