Senior Data Engineer

Lean Tech, a Lean Solutions Group Division; Colombia; On-site; COP 222,965,000 - 318,522,000; Full time

Job summary

Global Technology Services in Medellín, Colombia is seeking a Senior Data Engineer to design, build and support data solutions in Microsoft Fabric. You will own stories end-to-end, contribute to design, and uphold engineering best practices with PySpark, KQL and robust SQL.

You will collaborate with analytics and engineering teams across Latin America, the Philippines and the United States, apply agile methods, and accelerate data initiatives for entertainment, financial and logistics clients.

Qualifications

• 4–7 years in data engineering/analytics with demonstrable delivery in cloud data platforms.
• Hands-on PySpark and Python notebook development.
• Strong SQL skills and familiarity with performance tuning.

Responsibilities

• Design, build, and support data solutions in Microsoft Fabric.
• Own stories end-to-end and contribute to design while upholding engineering best practices.
• Collaborate with cross-functional teams to deliver data capabilities.

Skills

Cloud data platforms

Team collaboration

Agile delivery

Communication skills

Tools

PySpark

Python

KQL

SQL

Microsoft Fabric

Databricks/Synapse

Git workflows

VS Code

ADO / Azure DevOps

Job description

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, the Philippines, and the United States, contributing to cutting-edge developments in multiple industries.

Seniority: Senior

Location: Colombia & Mexico

What you will be doing:

We are hiring senior-level Data Engineers to design, build, and support data solutions in Microsoft Fabric. L2 engineers will own stories end-to-end, contribute to design, and uphold engineering best practices with a focus on PySpark, KQL, and robust SQL.

Required Skills & Experience

• 4–7 years in data engineering/analytics with demonstrable delivery in cloud data platforms.
• Hands-on PySpark and Python notebook development.
• Strong KQL skills or readiness to rapidly ramp with demonstrated query strength.
• Solid SQL skills and familiarity with performance tuning.
• Experience with Microsoft Fabric or equivalent (e.g., Databricks/Synapse) with willingness to adopt Fabric patterns.
• Experience with Microsoft Fabric components: Lakehouse/Warehouse tables, notebooks (Python/PySpark), pipelines.
• Git workflows and experience with VS Code/Visual Studio.
• Agile delivery experience; comfortable writing own stories/tasks in ADO.
• Strong communication and team collaboration.

Nice to have

• Data Vault modeling experience and star schema design.
• CI/CD implementation experience (ADO Pipelines/GitHub Actions) and test automation.
• Power BI experience: data sourcing/cleaning, dataset modeling, visualization, custom visuals.
• Tabular Editor familiarity; bonus for C# scripting.
• Experience with Dataflows Gen1/Gen2 and Fabric pipeline orchestration.
• Process diagramming proficiency.

Soft Skills

• Strong problem-solving and debugging skills
• Ability to work independently and take ownership of projects

Why you will love GTS:

• Join a powerful tech workforce and help us change the world through technology
• Professional development opportunities with international customers
• Collaborative work environment
• Career path and mentorship programs that will lead to new levels.

Join GTS and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. GTS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.