Mid Data Engineer

Job description

Company Overview: Global Technology Services is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America, Philippines and the United States, contributing to cutting-edge developments in multiple industries. Position Title: Data Engineer Category: Data Engineering & Analytics Seniority: Mid Location: Colombia What you will be doing: This role is responsible for collaborating with other departments and partnering with Business Data Analysts to develop and integrate data models to meet business needs. You will act as the subject matter expert, translating data insights and analysis into new data models, clarify any questions about data inquiries, and partner with departments to help utilize current data models to their advantage. As a data engineer, you will be responsible for maintaining key business metrics and guiding new data discovery processes to increase efficiency and growth of the department. If you possess strong technical skills, a passion for complexity, and a desire to make an impact, then we want to hear from you! Required Skills & Experience Bachelor’s degree in a related field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience. Expertise in dbt (data build tool), including macros, packages, and CI/CD integration for data modeling. 2+ years of experience with cloud data warehouses (e.g., Snowflake, BigQuery, Databricks). 2+ years of experience with SQL and Python, specifically geared toward complex data transformation and automation. 2+ years of experience designing modular data models (Dimensional Modeling, Data Vault, or One Big Table). Ability to translate complex business logic and metadata into instructions that ensure AI-generated insights are accurate, grounded, and governed. Proven expertise in end-to-end data pipeline design, focusing on ELT patterns and data quality frameworks. Strong understanding of data governance, including data lineage, cataloging, and security compliance. Nice to Have Skills Experience working with BI platforms (e.g., Power BI, Tableau, Looker) and enabling "Self-Service" analytics for business stakeholders. Familiarity with orchestration tools (e.g., dbt, Airflow, Dagster, Prefect) and version control (Git). Soft Skills Strong problem-solving and debugging skills Ability to work independently and take ownership of projects Strong communication skills with the ability to articulate, diagram and document complex engineering concepts.