Senior Data Engineer, Platform (up to £200k)

Dex; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

Dex is seeking a Platform Data Engineer to own end-to-end data platform work within a software engineering context. The role focuses on designing scalable data ingestion, validation, and storage architectures for varied datasets used in AI training environments.

You will tackle data quality, safety, and cost considerations, and collaborate across teams to ensure reliable data availability for AI researchers and platform engineers.

Qualifications

• Built and operated substantial production data systems end-to-end.
• Hands-on with code, not just configuring tools.
• Experience with large, complex, messy datasets.
• Ability to discuss trade-offs in storage, processing, reliability.
• Comfortable with cloud infrastructure and debugging production systems.

Responsibilities

• Design and build scalable systems for acquiring, ingesting, and integrating large, messy, and varied datasets.
• Develop robust validation, sanitisation, and PII-removal layers to ensure data safety and quality.
• Tackle complex data problems: duplication, corruption, inconsistent formats, and provenance.
• Make critical architectural decisions across storage, reliability, observability, security, and cost.
• Ensure reliable, high-quality data availability for AI training environment engineers.

Skills

Production data systems

Software engineering fundamentals

Large datasets experience

Cloud infrastructure

Data quality & governance

Job description

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.

The role

The next generation of AI learns through experience, not just static datasets. This lab builds interactive, resettable digital environments where AI agents navigate software, complete tasks, fail, and improve. Data here is a fundamental input to how those AI systems and training environments get built, not a supporting analytics function.

You’ll join the Platform team, a data specialization within software engineering, not a separate analytics silo. This is end-to-end ownership: framing, architecture, implementation, and production operation for the core data problem. You won't inherit a mature platform or be handed detailed specs; you'll shape foundational systems and own the outcomes.

The work

• Design and build scalable systems for acquiring, ingesting, and integrating large, messy, and varied datasets.
• Develop robust validation, sanitisation, and PII-removal layers to ensure data safety and quality.
• Tackle complex data problems: duplication, corruption, inconsistent formats, and provenance.
• Make critical architectural decisions across storage, reliability, observability, security, and cost.
• Ensure reliable, high-quality data availability for AI training environment engineers.

What You Bring

• Built and operated substantial production data systems end-to-end, owning architecture, implementation, and production behaviour.
• Strong software engineering fundamentals; deeply hands-on with code, beyond configuring tools.
• Experience with large, complex, or messy datasets (unstructured text, web, machine-generated data), and can articulate the challenges.
• Sound judgement across storage, processing, reliability, scalability, and cost; able to discuss trade-offs.
• Comfortable with cloud infrastructure and debugging complex production systems.

This is a rare, high-impact role at a Confidential Company; opportunities like this are hard to find and often oversubscribed.

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