Data Platform Engineer: Ingestion & PII for AI Training

Dex; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Dex is recruiting for a hybrid role in London or Paris to own the data platform powering AI training environments. You will design, build, and operate high-throughput data ingestion, sanitisation, and validation pipelines, staying close to production code and collaborating across software, platform, and AI engineering teams.

You will shape scalable data architectures, implement end-to-end data pipelines, and balance performance with reliability and cost, ensuring datasets are ready for AI model

Qualifications

• Proven track record designing, shipping, and operating substantial production data systems end to end.
• Strong software engineering fundamentals with the ability to debug complex, distributed failure modes.
• Experience with large, messy, or adversarial datasets involving ingestion, validation, or sanitisation.
• Ability to take ambiguous requirements, define the necessary system architecture, and ship production systems without detailed functional specs.
• Based in or able to work hybrid from London or Paris.

Responsibilities

• Architect and operate scalable ingestion, processing, and storage systems that handle messy, high-volume datasets from real-world software environments.
• Build automated validation, sanitisation, and PII-redaction pipelines that make raw data immediately usable for AI training environments.
• Make pragmatic technical trade-offs across storage, retrieval latency, observability, system reliability, and cloud costs.
• Establish reusable data platform patterns that other software and AI engineers can build on, eliminating the need to solve dataset ingest on an ad-hoc basis.
• Debug unfamiliar production failures across the stack and deploy modern tooling to keep engineering feedback loops tight.

Skills

Production data systems

Distributed systems

Debugging complex failures

Data ingestion

PII sanitisation

Job description

Dex is recruiting for a hybrid role in London or Paris to own the data platform powering AI training environments. You will design, build, and operate high-throughput data ingestion, sanitisation, and validation pipelines, staying close to production code and collaborating across software, platform, and AI engineering teams.

You will shape scalable data architectures, implement end-to-end data pipelines, and balance performance with reliability and cost, ensuring datasets are ready for AI model