Data Engineering Recruitment

AI systems are only as strong as the data that feeds them. We help companies hire data engineers who understand the demands of ML workloads — from real-time pipelines to feature engineering and scalable storage.

We focus on engineers with experience in:

• Building ETL/ELT pipelines optimised for ML training and inference workloads 
• Streaming systems (Kafka, Kinesis, Pub/Sub)
• Data modelling for ML and analytics
• Feature engineering and feature store integration
• Cloud data stacks (BigQuery, Snowflake, Redshift, Databricks)

These engineers understand how data flows through an AI system — and how to make it reliable.

We know what “ML-ready data” actually means. Our candidates have built the pipelines that keep AI systems running smoothly.