Lead Data Security Engineer

JET's Information Security organisation protects a technology-led, cloud-native platform serving millions of customers across multiple markets.

As a Lead Data Security Engineer, you'll define the technical "North Star" for security at JET, shaping how we protect the experiences of millions of customers worldwide.

This is a pivotal individual contributor, leadership role where you'll translate complex business risks into a scalable, proactive defense strategy that enables growth without compromise.

You'll work at the intersection of technology and business strategy, partnering with leaders to ensure our security framework supports our mission: connecting customers with the food and services they love.

Your vision will Lead our security evolution, your execution will Deliver enterprise-wide resilience, and your approach will Care deeply about enabling teams to innovate safely.

Together with engineering, DNA, and business stakeholders, you'll drive a culture where security isn't a hurdle, it's a competitive advantage that helps us win together.

These are some of the key components to the position:

• Work directly inside data teams as an embedded security partner to understand their building processes, data handling, and actual risk profiles.

• Build secure solutions alongside data teams through collaborative engineering instead of just handing down rigid security requirements.

• Identify recurring issue patterns and collaborate with central security engineering to fix systemic vulnerabilities.

• Act as a two way bridge - connecting security standards with real-world data practices, aligning both teams' insights and needs.

• Design, build, and maintain automated workflows to detect and fix data security risks at scale.

• Deploy continuous monitoring, automated guardrails, and auto-remediation scripts across cloud environments.

• Engineer CI/CD gates and infrastructure-as-code baselines to stop data leaks before code deployment.

• Support the rollout of encryption, masking, data discovery, classification, and access governance.

• Secure LLM and AI pipelines by guarding against prompt injection and tracking data lineage.

• Prioritise Wiz and DSPM findings by context to implement fixes, while documenting tools to enable a "Security-as-Code" mindset.

What will you bring to the team?

• Deep, hands-on technical skills in data security. You've built and run controls like DSPM, DLP, data classification, encryption, or access governance, not just designed them on paper.