Data Platform Engineer — End-to-End, Hybrid (London/Paris)

Dex; Greater London; Hybrid; GBP 100,000 - 130,000; Full time

Job summary

Dex is seeking a data platform engineer to own end-to-end data ingestion, processing, and storage for AI training environments in a hybrid London/Paris setup.

This role focuses on automated validation, sanitisation, and PII-redaction pipelines, staying close to production code across software, platform, and AI engineering.

You will work with high-volume, real-world datasets, debug production failures, and establish reusable patterns for scalable data infrastructure.

Qualifications

• Proven track record designing, shipping, and operating production data systems end to end.
• Strong software engineering fundamentals with deep debugging of distributed systems.
• Experience handling large, messy datasets for ingestion, validation, or sanitisation.
• Ability to define system architecture from ambiguous requirements and ship production systems.

Responsibilities

• Architect and operate scalable ingestion, processing, and storage systems for high-volume datasets.
• Build automated validation, sanitisation, and PII-redaction pipelines for AI training data.
• Balance storage, latency, observability, reliability, and cloud costs.
• Establish reusable data platform patterns for other engineers.
• Debug production failures across the stack and improve tooling.

Skills

Data platform design

Distributed systems debugging

Software engineering fundamentals

Production data systems

Job description

Dex is seeking a data platform engineer to own end-to-end data ingestion, processing, and storage for AI training environments in a hybrid London/Paris setup.

This role focuses on automated validation, sanitisation, and PII-redaction pipelines, staying close to production code across software, platform, and AI engineering.

You will work with high-volume, real-world datasets, debug production failures, and establish reusable patterns for scalable data infrastructure.