Join a new, strategic data transformation project, moving analytics from on-premise to GCP and building data architecture and model from scratch with focus on business value creation.
Collaborate with data engineering, analytics and operations teams to streamline data applications, including big data and operational workflows.
Provide documentation of infrastructure, processes and compliance controls.
Monitor infrastructure health, performance and security, and resolve issues promptly.
Conduct regular reviews and audits of systems to ensure ongoing compliance and drive remediation as needed.
Implement and enforce privacy and security requirements in line with organizational and regulatory standards.
Lead the technical implementation of access controls, encryption, data retention and security monitoring.
Automate and document recurring operational and compliance procedures to ensure reliability and transparency.

3+ years of experience as a DevOps Engineer with hands‑on expertise in data management in GCP, Kubernetes and Spark.
Prior experience supporting data infrastructure or analytics platforms.
Experience with Infrastructure‑as‑Code tools.
Skilled in scripting languages for automation tasks.
Familiarity with cloud monitoring tools.
Strong understanding of networking, security and cloud infrastructure best practices.
Excellent problem‑solving skills, proactive mindset and strong communication abilities.

Data Platform DevOps Engineer, GCP

Key skills