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 idóneo 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