Data Platform Engineer: Ingest & PII Redaction for AI

Dex; Greater London; Híbrido; GBP 90.000 - 140.000; Jornada completa

Descripción de la vacante

Dex partners with a seed-stage research lab to power AI training environments with a robust data platform. You will own the end-to-end data platform from architecture to production debugging, collaborating across software, platform, and AI engineering teams.

The role focuses on scalable ingestion, automated validation, and PII redaction pipelines, balancing storage, latency, observability, and cloud costs. Hybrid work from London or Paris is supported.

Formación

• Proven track record designing, shipping, and operating substantial production data systems end to end.
• Strong software engineering fundamentals with the ability to debug distributed systems.
• Experience with large, messy datasets involving ingestion, validation, or sanitisation.
• Ability to define system architecture from ambiguous requirements and ship production systems.
• Based in or able to work hybrid from London or Paris.

Responsabilidades

• 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.

Conocimientos

Production data systems

Software engineering fundamentals

Data ingestion pipelines

PII sanitisation

Hybrid work readiness

Descripción del empleo

Dex partners with a seed-stage research lab to power AI training environments with a robust data platform. You will own the end-to-end data platform from architecture to production debugging, collaborating across software, platform, and AI engineering teams.

The role focuses on scalable ingestion, automated validation, and PII redaction pipelines, balancing storage, latency, observability, and cloud costs. Hybrid work from London or Paris is supported.