AI Data Engineering Lead
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Job Description
AI Data Engineering Lead building data foundations for AI models at Ideagen. Leading a team to ensure data quality, compliance, and operational efficiency.
Responsibilities:
- Leading and developing a team of AI data engineers, setting clear technical standards, supporting career growth, and scaling the function as the programme grows
- Defining the technical direction for AI data engineering, including architecture decisions, tooling choices, and delivery practices across the organisation
- Designing and building the end‑to‑end AI data platform, from operational product data and regulatory sources through cloud storage and transformation pipelines to training‑ready datasets
- Owning dataset versioning and lineage so every training artefact is traceable, reproducible, and auditable across the full model lifecycle
- Building and maintaining large‑scale regulatory and operational corpora in collaboration with domain experts, ensuring data quality and consistency
- Architecting and operating AWS‑based data infrastructure at production scale with a focus on reliability, security, and performance
- Defining and enforcing data governance standards, including quality checks, labelling conventions, and data handling frameworks
- Leading GDPR compliance for AI training data in partnership with Legal and ensuring best practice is embedded from the start
Requirements:
- You are a senior data engineer or technical lead with prior experience leading teams and owning large data platforms end to end
- You have deep production experience with Python and SQL and write data transformation code that is robust, readable, and reusable
- You have designed and run AWS data stacks at scale, including services such as S3, Glue, Athena, Kinesis, Lambda, and IAM
- You understand ML training data pipelines and know how they differ from analytics workloads, including dataset formats, splits, and quality constraints
- You bring strong data governance instincts and design for versioning, lineage, and auditability from day one
- You are comfortable working with legal and compliance partners on sensitive data handling and regulatory requirements
- You communicate clearly across disciplines and work effectively with AI engineers, product leaders, and domain specialists
- Experience with NLP or LLM training data, data version control tools, or regulated industry software is valuable but not essential.
Benefits:
- Benefits at Ideagen
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