Data and AI DevOps Engineer

EY is seeking a Data and AI DevOps Engineer to join the Technology Consulting team. This role involves designing, deploying, and maintaining CI/CD pipelines for data and AI workloads, automating infrastructure using IaC tools, and collaborating with data engineers and clients. The company focuses on Gen AI/LLMs and offers an opportunity to build and grow within a fast-paced, innovative environment.

Requirements

• Very good English language in verbal and written communication
• Willingness to develop career in DevOps and Data & AI area
• Excellent collaboration skills
• Bachelor’s degree (preferably in engineering, computer science, or similar)
• Understanding of Microsoft Cloud Services (Azure DevOps/GitHub Actions, Azure Key Vault, VNET, Storage Accounts, Log Analytics, Azure Monitor, Terraform, Bicep, Python, Bash, Spark)
• Experience in CI/CD concepts and Git-based workflows
• Solid grasp of data pipelines, ETL concepts, and data orchestration
• Familiarity with containerization (Docker)
• Understanding of monitoring and logging tools (Grafana, Prometheus)
• Exposure to Kubernetes
• Basic knowledge of Spark in Databricks
• Experience with Fabric, Databricks, Snowflake

Benefits

• Microsoft Enterprise Skills Initiative
• Databricks Academy
• Visual Studio Enterprise subscription
• Access to cutting edge technology
• Professional and financial support for qualifications and certifications
• Udemy for Business
• Go Fluent
• EY Badges
• Career Counselor
• Innovate EY
• EY Wellbeing