At a Glance
- Tasks: Lead the engineering of data security controls to protect sensitive information across cloud and enterprise environments.
- Company: Join Just Eat, a leading global online delivery platform with a mission for everyday convenience.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make a real impact on data security while working with cutting-edge technology in a dynamic environment.
- Qualifications: Experience in data security engineering and strong technical skills in DLP and encryption.
The predicted salary is between 80000 - 100000 £ per year.
hackajob is collaborating with Just Eat to connect them with exceptional professionals for this role.
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 in London employer: hackajob
Just Eat Takeaway.com is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. With a hybrid working model in vibrant cities like London and Amsterdam, employees enjoy the flexibility of balancing office and remote work while contributing to a leading global online delivery platform. The company prioritises employee growth through continuous learning opportunities and encourages a proactive approach to data security, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Security Engineering Lead in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Just Eat. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your hands-on experience with data security controls and how you've tackled challenges in the past. Let them see the real you and what you can bring to the table.
✨Tailor Your Approach
Before any interview, do your homework on Just Eat and their tech stack. Show them you understand their needs by discussing how your skills in DLP, encryption, and data classification can help them achieve their goals. Make it personal!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team at Just Eat.
We think you need these skills to ace Data Security Engineering Lead in London
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, encryption, and data classification. We want to see how your skills match up with what we're looking for!
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 our mission at Just Eat. Let us know why you’re the perfect fit for our team!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical depth in data protection disciplines. Mention specific projects or experiences where you've successfully implemented data security controls. We love seeing real-world examples of your work!
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 gets into the right hands. Good luck!
How to prepare for a job interview at hackajob
✨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 your hands-on experience with DLP platforms and encryption solutions, as well as how you've implemented data classification programmes in the past.
✨Show Off Your Analytical Skills
Prepare to demonstrate your analytical prowess by discussing complex data flows you've evaluated. Think of specific examples where you've configured effective DLP rules or engineered strategies to mitigate risks without disrupting business operations.
✨Familiarise Yourself with AI/ML Risks
Since this role involves emerging AI/ML data security risks, make sure you understand concepts like training data exposure and model inversion. Bring examples of how you've addressed these issues or how you would approach them in this role.
✨Collaboration is Key
Be ready to talk about your collaborative experiences with IT, software engineering, and privacy teams. Highlight instances where your partnerships have led to successful data security outcomes, showing that you can enable engineering velocity while maintaining security.
