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