Principal Data Engineer - AI

📋 Description

• Lead the data architecture, design, and deployment of scalable, high-throughput Big Data systems
• Architect, deploy, and manage the foundational data systems that underlie modern AI infrastructure
• Develop end-to-end data engineering solutions, including robust ETL/ELT pipelines, API services
• Design and build the storage and processing layers powering our analytics workloads: data lakes
• Engineer feature-rich context pipelines that process large-scale enterprise data, balancing batch
• Optimise and scale large distributed queries and data transformations to ensure high performance

🎯 Requirements

• Extensive data engineering experience, demonstrating a strong track record of hands-on execution
• Deep practical understanding of the database ecosystems that power AI and machine learning
• Hands-on experience building, scaling, and shipping large-scale data platforms in production.
• Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink
• Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis).
• End-to-end exposure to data pipeline lifecycle development, including extensive experience with

🎁 Benefits

• Be part of a team of innovators focused on optimizing business decision-making through an
• Join a Winning Culture that champions diversity of thought and ideas, behaves like leaders, commits
• Be inspired, connected, developed and rewarded in a values-based, strategy-led environment.