IT engineer Data & Analytics DevOps
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate a stable, scalable, and secure Azure-based data platform infrastructure including Databricks, CI/CD systems, and Power BI integration.
Own platform infrastructure, deployment automation, reliability engineering, and minimize manual operations through automation.
Implement observability, monitoring, automated recovery, and enforce platform governance, security, and cost optimization.
Minimum Requirements
Degree in Computer Science, Engineering, Information Systems, or related field.
Minimum 5 years of experience in platform engineering, DevOps, or SRE roles focused on automation and infrastructure engineering.
Strong hands-on experience with Azure cloud, Infrastructure-as-Code (Terraform/Bicep), CI/CD pipelines, Scala/Spark data platforms, and Databricks operations.
Experience with Power BI administration is a plus but not mandatory; work experience required explicitly: minimum 5 years.
Ideal Candidate Profile
Experienced in designing and operating production-grade data platforms in Scala/Spark and Azure environments.
Skilled in automation-first infrastructure engineering with strong reliability engineering and observability practices.
Capable of collaborating with global teams including software engineers, ML engineers, and architects, focusing on platform standards and integration.