DataOps Engineer

TL;DR

DataOps Engineer: Supporting and optimizing analytics and data platforms with an accent on reliability, automation, and performance. Focus on managing data pipelines, implementing monitoring, and applying infrastructure-as-code principles across cloud platforms.

Location: Candidates must accommodate a schedule aligned with Portugal time (12:00pm - 9:00pm) and will support the Iberia service region.

Company

hirify.global is a digital product engineering company with over 18,000 experts across 39 countries, building inspiring digital products, services, and experiences.

What you will do

• Manage and support data pipelines, ETL processes, and analytics platforms, ensuring reliability and accuracy.
• Execute data validation, quality checks, and performance tuning using SQL and Python/Shell scripting.
• Implement monitoring and observability with tools like Datadog, Grafana, and Prometheus.
• Collaborate with DevOps and Infrastructure teams to integrate data deployments within CI/CD pipelines (Jenkins, Azure DevOps, Git).
• Apply infrastructure-as-code (Terraform, Ansible) for provisioning and automation of data environments.
• Support incident and request management via ServiceNow, ensuring SLA adherence and root cause analysis.

Requirements

• 8+ years in DataOps, Data Engineering Operations, or Analytics Platform Support with good exposure to DevOps/SRE practices.
• Proficiency in SQL and Python/Shell scripting for automation and data diagnostics.
• Mandatory experience with AWS (exposure to Azure/GCP a plus).
• Familiarity with CI/CD tools (Jenkins, Azure DevOps), version control (Git), and IaC frameworks (Terraform, Ansible).
• Working knowledge of monitoring tools (Datadog, Grafana, Prometheus) and containerization (Docker, Kubernetes) concepts.
• Strong grasp of data governance, observability, and quality frameworks.

Culture & Benefits

• Dynamic and non-hierarchical work culture.
• Opportunity to help teammates and tackle complex client challenges, taking solutions further.
• Participate in Agile ceremonies within Scrum/Kanban models.