We’re looking for a Data Platform Engineer to deploy, maintain, and grow a real-time data streaming platform that provides live insights into machine performance.

You’ll work hands-on with Python, Kubernetes, Azure, Azure DevOps, and Grafana, helping onboard new data sources, improve platform reliability and observability, automate operational processes, and create self-service capabilities.

This role is adecuado for someone comfortable working with high-throughput, low-latency data systems who can independently troubleshoot complex issues and communicate effectively with technical and client-facing stakeholders.

What You'll Do

- Deploy, operate, and maintain real-time data streaming applications.
- Onboard new data sources, signals, and connected machines.
- Perform upgrades, patching, capacity planning, and platform deprecations.
- Improve logging, monitoring, alerting, and usage measurement, primarily using Grafana.
- Manage role-based permissions and platform access controls.
- Build self-service onboarding capabilities using Azure DevOps pipelines.
- Troubleshoot pipeline failures, data quality issues, and latency problems.
- Automate repetitive operational tasks through Python scripting and Infrastructure as Code.




- Create and maintain technical documentation, runbooks, and onboarding guides.
- Collaborate with stakeholders to understand data requirements and communicate platform status.

Required Qualifications

- Strong Python skills for scripting, automation, and data tooling.
- Hands-on Git and version-control experience.
- Production experience running workloads on Kubernetes.
- Experience creating dashboards and alerts with Grafana.
- Hands-on experience with Azure and Azure DevOps, including pipelines, repositories, and release management.
- Experience working with high-throughput, low-latency streaming systems.
- Strong understanding of monitoring, logging, and observability practices.
- Strong troubleshooting skills, particularly with data pipelines and data-related issues.
- Clear technical writing and English communication skills.
- Ability to independently solve problems in a client-facing environment.

Preferred Qualifications

- Docker and containerization.
- Terraform and Infrastructure as Code.
- Linux system administration.
- InfluxDB or other time-series databases.

📌 Data Platform Engineer (Colombia)
🏢 Unosquare
📍 Colombia