Data Security Engineering Lead Job at Just Eat Takeaway.com (London)

Job Description

JET's Information Security organisation protects a technology-led, cloud-native platform serving millions of customers across multiple markets. JET's Security Architecture & Engineering function is responsible for making data protection a built-in property of how we design and operate our platforms, not an afterthought. As Data Security Engineering Lead, you'll be responsible for engineering the controls that safeguard JET's most sensitive structured and unstructured data across cloud-native and enterprise environments. You'll translate architectural data security standards into working, scalable implementations from DLP platforms to encryption pipelines, and embed Privacy and Security by Design into engineering delivery.

Job Responsibility

Design, deploy, and manage JET's Enterprise DLP solutions monitoring data flows and preventing unauthorised exfiltration of sensitive information across network, cloud, endpoint, and AI-integrated environments
Extend data classification and DLP coverage to AI ensuring training datasets, model inputs and outputs, and inference logs containing sensitive data are subject to the same controls as the broader data estate
Lead the engineering and implementation of encryption solutions and policies and security protocols to protect data at rest, in transit, and in use across JET's structured (databases) and unstructured (email, documents) data estates
Establish, document, and technically enforce data security policies and procedures ensuring rules for how data is stored, handled, and shared are embedded into platform and delivery workflows
Own asset discovery and data classification activities protecting highest-risk data types, including AI-generated and AI-consumed data
Collaborate closely with the Security Architecture team to embed standardised cryptography and access controls into Golden Path blueprints, ensuring technical compliance with data privacy regulations and AI governance requirements

Requirements

Hands-on experience engineering data security controls in a cloud-native or enterprise technology environment with proven delivery across DLP platforms, encryption, and data classification programmes
Strong technical depth in data protection disciplines: DLP policy configuration, cryptographic protocols, identity and access controls, and secure handling of both structured and unstructured data
Analytical and precise able to evaluate complex data flows, configure effective DLP rules, and engineer mitigation strategies that reduce risk without disrupting business operations
Emerging familiarity with AI/ML data security risks — including training data exposure, model inversion, prompt injection, and the data privacy implications of generative AI and agentic workflows such as MCP-integrated platforms
Collaborative by default, with a track record of partnering with IT, software engineering, and privacy teams to deliver data security outcomes that enable rather than obstruct engineering velocity

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Data Security Engineering Lead

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