DataOps Engineer

TL;DR

DataOps Engineer (Data/Infrastructure): Managing and optimizing data pipelines and analytics platforms with an accent on automation, infrastructure-as-code, and system observability. Focus on building reliable, scalable data environments while ensuring performance and stability across global cloud-based analytics workflows.

Location: Must be based in Portugal; schedule must accommodate 12:00pm - 9:00pm Portugal time to overlap with US time zones.

Company

hirify.global is a global digital product engineering company with over 18,000 experts building innovative software solutions in a dynamic, non-hierarchical culture.

What you will do

• Manage and support data pipelines, ETL processes, and analytics platforms to ensure reliability and accessibility.
• Perform data validation, quality checks, and performance tuning using Python and Shell scripting.
• Implement system-wide monitoring and observability using Datadog, Grafana, and Prometheus.
• Integrate data deployments into CI/CD pipelines using Jenkins, Azure DevOps, and Git.
• Apply infrastructure-as-code principles with Terraform and Ansible for environment provisioning.
• Support incident management and ensure SLA adherence for analytics workloads.

Requirements

• 8+ years of experience in DataOps, Data Engineering Operations, or Analytics Platform Support.
• Proficiency in SQL, Python, and Shell scripting.
• Extensive experience with AWS (Azure or GCP exposure is a plus).
• Strong knowledge of IaC frameworks like Terraform and Ansible.
• Understanding of containerization technologies (Docker, Kubernetes).
• Must be available for a 12:00pm - 9:00pm Portugal time schedule.

Culture & Benefits

• Dynamic and non-hierarchical work environment.
• Exposure to large-scale global digital projects.
• Opportunities for professional growth in a scaling engineering organization.
• Collaborative, cross-functional team structure.