AI Data Engineering Lead

Role Overview

As AI Data Engineering Lead, you will own the data foundation every model is built on and shape how trusted AI is delivered at scale. This is a leadership role combining strategy, architecture, and governance with hands-on impact across sourcing, transforming, versioning, and preparing high-value regulated data for training.

What You Will Do

Leading and developing a team of AI data engineers, defining the technical direction for AI data engineering, designing and building the end-to-end AI data platform, owning dataset versioning and lineage, building and maintaining large-scale regulatory and operational corpora, and architecting and operating AWS-based data infrastructure.

Why It Might Be a Fit

You will lead a growing team of data engineers and work closely with AI engineering, legal, and domain experts to ensure our models are accurate, compliant, and ready for real-world use. You will also have the opportunity to work on a programme that builds domain-specific AI models for regulated industries.

Requirements

• Senior data engineer or technical lead with prior experience leading teams and owning large data platforms end to end
• Deep production experience with Python and SQL
• Experience with AWS data stacks at scale, including services such as S3, Glue, Athena, Kinesis, Lambda, and IAM
• Understanding of ML training data pipelines and dataset formats, splits, and quality constraints
• Strong data governance instincts and design for versioning, lineage, and auditability from day one
• Comfortable working with legal and compliance partners on sensitive data handling and regulatory requirements

Benefits

• Benefits at Ideagen
• Flexible and inclusive process
• Reasonable adjustments
• Flexible arrangements
• Work-life balance