At a Glance
- Tasks: Lead data security engineering to protect sensitive information across cloud and enterprise environments.
- Company: Join Just Eat, a global leader in online delivery, empowering everyday convenience.
- Benefits: Hybrid work model, competitive salary, 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 controls, DLP platforms, and encryption solutions.
The predicted salary is between 80000 - 100000 £ per year.
Overview
hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role.
Position: Data Security Engineering Lead
Department: InfoSec
Reporting to: Senior Technology Manager Security Architecture & Engineering
Location: London or Amsterdam
Hybrid role: 3 days a week from our office & 2 days working from home
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.
About This Role
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 will 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.
Responsibilities
- 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: hackajob
Just Eat Takeaway.com is an exceptional employer that champions a culture of innovation and collaboration, making it an ideal place for professionals seeking to make a meaningful impact in the tech-driven food delivery industry. With a hybrid work model that promotes work-life balance, employees benefit from opportunities for professional growth within a global platform that values data security and privacy as integral to its operations. Located in vibrant cities like London and Amsterdam, Just Eat offers a dynamic work environment where your contributions directly enhance the convenience and satisfaction of millions of customers worldwide.
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! If you’ve got a portfolio or any projects related to data security, make sure to share them during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for those tricky questions! Research common interview questions for data security roles and practice your answers. We want you to feel confident and ready to impress.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Security Engineering Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Security Engineering Lead role. Highlight your hands-on experience with DLP platforms and encryption solutions, as well as any relevant projects that showcase your skills in data protection.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data security and how your experience aligns with Just Eat's mission. Don’t forget to mention your collaborative spirit and how you can contribute to the team.
Showcase Your Technical Skills:In your application, be sure to highlight your technical depth in data protection disciplines. Mention specific tools and technologies you've worked with, especially those related to DLP policy configuration and cryptographic protocols.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at hackajob
✨Know Your Stuff
Make sure you brush up on your knowledge of data security controls, especially in cloud-native environments. Be ready to discuss your hands-on experience with DLP platforms and encryption solutions, as well as any specific projects you've worked on that relate to the role.
✨Show Your Analytical Skills
Prepare to demonstrate your analytical abilities by discussing how you've evaluated complex data flows in the past. Think of examples where you've configured effective DLP rules or engineered strategies to mitigate risks without disrupting operations.
✨Collaborate Like a Pro
This role requires collaboration with various teams, so be ready to share examples of how you've partnered with IT, software engineering, and privacy teams. Highlight your ability to deliver data security outcomes while maintaining engineering velocity.
✨Stay Current with AI/ML Risks
Familiarise yourself with emerging data security risks related to AI and machine learning. Be prepared to discuss topics like training data exposure and the implications of generative AI, as these are increasingly relevant in today's tech landscape.
