Staff Data Engineer - Scalable AI Training Data Pipelines

Dex; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Dex partners with leading AI teams to build scalable data platforms that power agent training. The role owns core data systems from problem definition through production, writing production code and debugging distributed systems across platform and AI boundaries.

You will design validation, sanitisation, and ingestion pipelines for massive real-world datasets, balancing performance, cost, and reliability while collaborating across teams in London or Paris.

Qualifications

• Own substantial production data systems end-to-end with accountability.
• Strong hands-on software engineering fundamentals.
• Experience with large, messy datasets and failure modes.
• Ability to operate in high ambiguity and define scope.
• Based in London or Paris or able to work with teams there.

Responsibilities

• Architect, build, and operate scalable distributed data systems for large unstructured datasets.
• Design and implement automated data quality, validation, sanitisation, and PII-handling pipelines.
• Trade-offs across storage tiers, query performance, reliability, observability, and cost.
• Collaborate with platform, software, and AI research teams to set architectural patterns.

Skills

Distributed systems

Production data systems

Software engineering

Debugging

Data quality pipelines

PII handling

Ambiguity tolerance

UK/France collaboration

Job description

Dex partners with leading AI teams to build scalable data platforms that power agent training. The role owns core data systems from problem definition through production, writing production code and debugging distributed systems across platform and AI boundaries.

You will design validation, sanitisation, and ingestion pipelines for massive real-world datasets, balancing performance, cost, and reliability while collaborating across teams in London or Paris.