Lead Data Engineer

Lean Tech, a Lean Solutions Group Division; Guavio; On-site; COP 382,153,000 - 573,230,000; Full time

Job summary

Global Technology Services seeks a hands-on Lead Data Engineer to drive a Microsoft Fabric implementation across several workstreams in LATAM. You will translate business priorities into an actionable backlog, orchestrate delivery across engineering pods, and ensure production-grade quality.

The ideal candidate has 8+ years in data engineering, extensive PySpark and SQL experience, and strong communication with executives and practitioners to deliver tangible outcomes.

Qualifications

• 8+ years in data engineering/analytics.
• 2+ years leading multi-team or multi-workstream delivery.
• Strong Microsoft Fabric experience or equivalent (Databricks/Synapse plus readiness to ramp on Fabric quickly).

Responsibilities

• Translate business priorities into an actionable backlog for multiple workstreams.
• Orchestrate delivery across engineering pods and ensure production-grade quality.
• Communicate effectively with executives and practitioners and drive outcomes.

Skills

Data engineering

Lead delivery

Python

SQL

PySpark

Azure DevOps

Power BI

Communication

Tools

Databricks

Synapse

Microsoft Fabric

Power BI

VS Code

GitHub Actions

Azure DevOps

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: Lead

Location: LATAM

What you will be doing:

We are seeking a hands-on architect or lead, with a strong data engineering background to lead a Microsoft Fabric implementation across multiple workstreams. This leader will translate business priorities into an actionable backlog, orchestrate delivery across engineering pods, ensure production-grade quality, and contribute directly to development and problem solving. The ideal candidate is a great communicator and orchestrator, comfortable engaging executives and practitioners, with a bias for action and outcomes.

Required Skills & Experience

• 8+ years in data engineering/analytics, including 2+ years leading multi-team or multi-workstream delivery.
• Strong Microsoft Fabric experience or equivalent (Databricks/Synapse plus readiness to ramp on Fabric quickly).
• Strong expertise with solution patterns, technical direction, and guardrails for Microsoft Fabric (OneLake, Lakehouse, Warehouse, Real-Time Analytics, Pipelines, Dataflows, Power BI).
• Proficiency with PySpark in notebooks and Python-based engineering practices.
• Strong KQL skills for Real-Time Analytics scenarios.
• Advanced SQL (T-SQL or equivalent) and performance tuning.
• Demonstrated experience with agile delivery and Azure DevOps (ADO): writing epics/stories/tasks, roadmaps, boards.
• Git-based workflows; experience with VS Code/Visual Studio.
• Proven experience with Power BI dataset/model design and report lifecycle management.
• Excellent communication, executive presence, and risk/issue management.

Nice To have

• Data Vault modeling expertise and star schema modeling best practices.
• CI/CD with Azure DevOps Pipelines or GitHub Actions; Infrastructure as Code concepts.
• Tabular Editor proficiency; C# scripting for analytical workflows.
• Experience with Power BI Dataflows Gen1/Gen2 and Fabric pipelines.
• Relevant certifications (e.g., DP-203, Microsoft Fabric, Power BI).

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.

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.