At a Glance
- Tasks: Lead the engineering of data security controls to protect sensitive information across cloud and enterprise environments.
- Company: Join Just Eat Takeaway.com, a global leader in online food delivery.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact on data security while working with cutting-edge technology.
- Qualifications: Experience in data security engineering and strong technical skills in DLP and encryption.
The predicted salary is between 80000 - 100000 £ per year.
Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
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.
These are some of the key components to the position:
- 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.
What will you bring to the team?
- 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.
Data Security Engineering Lead employer: 慨正橡扯
Just Eat Takeaway.com is an exceptional employer that champions innovation and collaboration within a vibrant work culture. As a Data Security Engineering Lead, you'll not only play a pivotal role in safeguarding sensitive data but also benefit from extensive professional growth opportunities in a dynamic, tech-driven environment. With a commitment to employee well-being and a focus on empowering convenience for millions, Just Eat Takeaway.com offers a unique chance to make a meaningful impact while advancing your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Security Engineering Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to data security. It’s a great way to demonstrate your hands-on experience and technical depth.
✨Tip Number 3
Prepare for interviews by brushing up on common data security scenarios. Think about how you’d tackle challenges like DLP policy configuration or encryption solutions, and be ready to share your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at Just Eat Takeaway.com. It shows initiative and enthusiasm!
We think you need these skills to ace Data Security Engineering Lead
Some tips for your application 🫡
Show Your Passion for Data Security:When writing your application, let us see your enthusiasm for data security! Share specific examples of your hands-on experience with DLP platforms and encryption solutions. We want to know what drives you in this field!
Tailor Your Application:Make sure to customise your application to highlight how your skills align with the role. Use keywords from the job description, like 'data classification' and 'cloud-native environments', to show that you understand what we’re looking for.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and how they fit with our needs.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at 慨正橡扯
✨Know Your Data Security Stuff
Make sure you brush up on your knowledge of data security controls, especially in cloud-native environments. Be ready to discuss specific DLP platforms and encryption methods you've worked with, as well as how you've implemented data classification policies in past roles.
✨Show Off Your Analytical Skills
Prepare to demonstrate your analytical abilities by discussing complex data flows you've evaluated. Think of examples where you've configured effective DLP rules or engineered strategies to mitigate risks without disrupting operations. Real-life scenarios will make your answers stand out!
✨Get Familiar with AI/ML Risks
Since the role involves AI, it’s crucial to understand the emerging data security risks associated with AI and ML. Brush up on topics like training data exposure and model inversion, and be ready to share your thoughts on how these risks can be managed effectively.
✨Collaboration is Key
This position requires a collaborative mindset, so think of examples where you've partnered with IT, software engineering, or privacy teams. Be prepared to discuss how you’ve delivered data security outcomes that support engineering velocity rather than hinder it.
