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About the Role

As a Data Security Specialist, you'll engineer controls to safeguard sensitive data across cloud-native and enterprise environments. You will translate architectural data security standards into scalable implementations and embed Privacy and Security by Design into engineering delivery. Your work will focus on data security engineering and automation, turning insights into automated engineering guardrails, enhancing automated data defense, delivering continuous compliance, and creating frictionless security workflows.

Responsibilities

Oversee the deployment and daily management of Enterprise DLP and encryption solutions across network, cloud, endpoint, and AI environments to protect data at rest, in transit, and in use.
Manage automated data discovery pipelines to ensure sensitive information is accurately mapped and protected, extending these controls to AI-integrated environments.
Collaborate with the Security Architecture team to embed data protection controls, cryptography, and Infrastructure-as-Code (IaC) baselines directly into CI/CD developer workflows.
Translate written data security and compliance policies into executable "Policy-as-Code" and manage the deployment of automated guardrails and remediation scripts across cloud environments.
Streamline engineering workflows by building API integrations between security scanners and ticketing systems.
Utilize intelligent automation to parse, prioritize, and tune data security alerts.
Guide engineering teams by providing automated feedback loops, clear technical documentation, and developer-friendly data protection tools.

Requirements

Proven experience implementing and managing data security controls in cloud-native or enterprise environments, spanning DSPM platforms (e.g., Wiz), Enterprise DLP, cryptography, and data classification programs.
Strong automation and scripting skills (Python & Bash/Shell).
Comfortable translating security goals into working code, remediation scripts, and infrastructure-as-code.
Strong track record of translating governance policies and security alerts into automated remediation workflows and CI/CD security gates.
Practical understanding of AI/ML data security risks (e.g., OWASP Top 10 for LLMs, prompt injection, and training data exposure).
Experience using AI tools to automate security tasks like alert triaging and data classification.
A highly collaborative approach with the ability to build trusted partnerships across DevOps, Software Engineering, IT, and Privacy teams.
Strong ability to evaluate complex data flows and translate dense security findings into clear, actionable code comments, documentation, and developer-friendly alerts.
A solid understanding of data privacy regulations (e.g., GDPR) and a strong ethical foundation.

Skills

Python
Bash/Shell
DSPM platforms (e.g., Wiz)
Enterprise DLP
Cryptography
Data classification
Infrastructure-as-Code (IaC)
Policy-as-Code (e.g., OPA)
CI/CD
API integrations
AI/ML data security
OWASP Top 10 for LLMs
Prompt injection
Training data exposure
GDPR

Location

Global

Work Type

Full-time

Experience Level

Not specified

Education Level

Not specified

About the Company

Just Eat Takeaway.com is a leading global online delivery platform focused on empowering everyday convenience.
Our tech platform connects millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners globally.
We are a dynamic environment with international impact, driven by a desire to be the best and win our customers' choice.
Our culture is fun, fast-paced, and supportive, emphasizing movement, growth, mutual success, and celebrating wins.

Equal Opportunity

We are committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.