AI Data Platform Engineer

Role Overview

Join our team at the heart of the Data Office, where you will help build, operate, and evolve our enterprise data platform. As an AI Data Platform Engineer, you will focus on designing, implementing, and operating cloud-based data platform solutions that support analytics, AI, and business applications. Your work will center around cloud infrastructure, data platform services, automation, operational excellence, and platform reliability.

Responsibilities

• Designing and implementing cloud-based solutions including data storage, processing, integration, and visualization components.
• Troubleshooting and resolving issues related to cloud infrastructure and data platform services.
• Monitoring platform performance, reliability, and utilization for optimization.
• Collaborating with developers, architects, and IT professionals for seamless system integration.
• Developing and maintaining automation scripts, Infrastructure-as-Code, and deployment pipelines.
• Supporting platform operations, governance, security, and lifecycle management.
• Contributing to best practices regarding scalability, availability, and cost optimization.

Requirements

• Bachelor's degree in Computer Science, Engineering, IT, Data Engineering, or a related field.
• Minimum 3 years of experience in cloud platform engineering, data platform engineering, or infrastructure engineering.
• Strong analytical and problem-solving skills.
• Fluency in spoken and written English.
• Ability to work effectively in a global, multicultural, hybrid, and agile environment.

Skills

• Microsoft Azure
• AWS
• Databricks
• Azure Data Factory
• Infrastructure-as-Code