Ingeniero de datos

GFT Technologies

Colombia

Remote

COP 69,010,466 - 107,349,614

Full time

14 days+

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Benefits offered by this job

Health and wellness programs

Access to cloud and data certifications

Participation in global data projects

Job summary

A global technology consulting company is seeking a Data Engineer to design and maintain scalable data solutions. You will create modern data pipelines and ensure data quality across cloud-native architectures, while collaborating with teams to meet business needs. The ideal candidate has over 5 years of experience in data engineering and is proficient in Azure Data Factory, SQL, and data modeling. This position offers a permanent contract with a fully remote work model.

Qualifications

5-6+ years of experience in data engineering or similar roles.
Strong hands-on experience with Azure data platforms.
Advanced proficiency in SQL.

Responsibilities

Design and implement centralized data solutions using Azure Data Hub and Azure Data Factory.
Build and optimize data pipelines for ingestion and transformation.
Ensure data quality and performance across cloud-native architectures.

Skills

Azure Data Factory

SQL

Data modeling

Data warehousing

Problem-solving

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Databricks

Delta Lake

Python

Job description

Location: LATAM (Remote)

Contract Type: Full-time / Permanent

Work Model: Remote

About GFT

At GFT, we enable digital transformation through data‑driven, cloud‑native solutions for global clients. Our data engineering teams design, build, and optimize scalable data platforms that support advanced analytics, reporting, and business intelligence across multiple industries. We value innovation, collaboration, and technical excellence.

Role Overview

We are looking for a Data Engineer with strong experience in Azure data platforms to design and maintain centralized, scalable, and secure data solutions. This role focuses on building modern data pipelines, enabling analytics at scale, and supporting data governance and cloud‑native architectures in a fully remote environment.

Key Responsibilities

Design and implement centralized data solutions using Azure Data Hub, Azure Data Factory, and Databricks.
Build, optimize, and maintain data pipelines for ingestion, transformation, and integration.
Develop and optimize SQL‑based transformations and analytical datasets.
Apply data modeling and data warehousing best practices to support analytics and reporting.
Ensure data quality, reliability, and performance across cloud‑native architectures.
Collaborate with cross‑functional teams to align data solutions with business needs.
Support data governance, security, and compliance standards within Azure environments.
Troubleshoot data issues and continuously improve platform efficiency and scalability.

Required Skills and Experience

Bachelor’s degree in Computer Science, Engineering, or a related field.
5–6+ years of experience in data engineering or similar roles.
Strong hands‑on experience with Azure Data Factory, Databricks, and Azure data platforms.
Advanced proficiency in SQL.
Experience with data modeling, data warehousing, and cloud‑native architectures.
Understanding of data integration patterns, governance, security, and compliance in Azure.
Strong problem‑solving skills and effective communication abilities.

Nice to Have

Experience with Delta Lake, Spark, or other big data technologies.
Experience with REST APIs and enterprise data migration tools.
Knowledge of Python for reusable components, data manipulation, and automation.
Experience with CI/CD pipelines and Git.
Domain knowledge of the North America Retail Power & Gas Market.