Data Platform Engineer: Ingestion & PII Sanitisation

Dex; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Dex partners with a seed-stage research lab in London and Paris to build a data platform powering AI training environments. You will own end-to-end data ingestion, processing, and validation pipelines, working across software, platform, and AI engineering boundaries to enable high-throughput data flows and robust sanitisation.

You will design scalable systems, implement automated data quality checks, and balance storage, latency, and cost.

Qualifications

• Proven track record designing, shipping, and operating substantial production data systems end to end.
• Ability to dive deep into unfamiliar codebases and debug complex distributed failure modes.
• Experience handling large, messy datasets with ingestion, validation or sanitisation challenges.

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.
• Make pragmatic trade-offs across storage, latency, observability, reliability and cloud costs.
• Establish reusable data platform patterns for cross-team use.
• Debug production failures and deploy modern tooling to keep feedback loops fast.

Skills

Data ingestion

Distributed systems

Production debugging

Cloud architectures

Observability

PII sanitisation

Job description

Dex partners with a seed-stage research lab in London and Paris to build a data platform powering AI training environments. You will own end-to-end data ingestion, processing, and validation pipelines, working across software, platform, and AI engineering boundaries to enable high-throughput data flows and robust sanitisation.

You will design scalable systems, implement automated data quality checks, and balance storage, latency, and cost.