At a Glance
- Tasks: Lead the evolution of our next-gen real-time data platform and shape data usage across teams.
- Company: Join Just Eat Takeaway.com, a global leader in online delivery with a vibrant culture.
- Benefits: Enjoy competitive pay, inclusive culture, and opportunities for personal and professional growth.
- Other info: Dynamic environment focused on innovation, collaboration, and continuous improvement.
- Why this job: Make a real impact on data strategy while leading high-performing engineering teams.
- Qualifications: Proven leadership in engineering, strong background in data platforms, and excellent communication skills.
The predicted salary is between 70000 - 90000 £ per year.
Ready for a challenge? 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. Our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
Data is at the heart of how Just Eat Takeaway.com builds products, serves customers, and enables teams to make smarter decisions. We're looking for a Head of Data Platform Engineering to lead the evolution of Mobius, our next-generation real-time data platform, and shape how data is accessed, owned, and used across our technology organisation.
Leading a multidisciplinary organisation of platform and data engineers, you'll scale a platform built on a "Platform as a Product" mindset, creating a seamless self-service experience for engineering teams while championing a federated data mesh architecture. Working closely with engineering, product and domain leaders, you'll combine technical leadership with organisational design to build high-performing teams, influence platform adoption, and help shape the future of data at Just Eat.
This knowledge will also help solve non-routine, strategic problems around data governance gridlocks and high-complexity distributed systems, ensuring the architecture and organizational design sustainably support data growth over a 12 to 24-month horizon.
These are some of the key components to the position:
- Lead, grow and develop a high-performing organisation of Technology Managers, Platform Engineers and Data Engineers, creating an environment where teams can thrive.
- Own the strategy, delivery and operational excellence of Mobius, ensuring it remains a reliable, scalable and high-performing real-time data platform.
- Champion a Platform as a Product mindset, continuously improving the developer experience through intuitive, self-service platform capabilities.
- Partner with Engineering, Product and Domain leaders to drive adoption of data platform capabilities and federated data mesh principles across the organisation.
- Build strong relationships across Product & Technology, influencing strategic decisions and aligning platform roadmaps without direct authority.
- Define organisational structures, delivery roadmaps and engineering priorities that enable teams to scale effectively while maintaining high engineering standards.
- Coach, mentor and develop Technology Managers, creating clear accountability, succession planning and leadership capability across the organisation.
- Drive continuous improvements in platform reliability, scalability, performance and operational efficiency through modern engineering practices.
- Collaborate with cloud and technology partners to maximise platform capabilities while ensuring responsible management of infrastructure investment.
- Measure success through platform adoption, developer experience, operational excellence and engineering outcomes, using data to continuously improve performance.
What will you bring to the team?
- Proven experience leading and scaling large engineering organisations, including managing Technology Managers and building high-performing teams.
- Strong engineering background across Platform Engineering, Developer Platforms or Cloud Infrastructure, with experience delivering large-scale distributed systems.
- Experience building or operating modern data platforms, event-driven architectures or real-time streaming platforms.
- A product mindset, with experience treating internal platforms as products and improving developer experience through self-service capabilities.
- Ability to influence senior engineering and product stakeholders, building strong partnerships across complex organisations.
- Experience defining engineering strategy, organisational design and delivery models that enable teams to scale effectively.
- Strong understanding of modern cloud technologies, infrastructure as code, platform engineering principles and engineering best practices.
- Excellent communication skills with the ability to simplify complex technical concepts for both technical and non-technical audiences.
- A pragmatic, delivery-focused approach with the ability to balance long-term platform strategy alongside operational excellence.
- A collaborative leadership style that champions our values of Lead, Deliver and Care, developing people, raising engineering standards and fostering a culture of continuous improvement.
At JET, this is how we play. Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice.
At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again.
Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.
No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re 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.
Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.
Are you ready to join the team? Apply now!
StudySmarter Expert Advice🤫
We think this is how you could land Head of Engineering - Data Platforms in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Just Eat Takeaway.com!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Engineering - Data Platforms at Just Eat Takeaway.com.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Just Eat Takeaway.com.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Engineering - Data Platforms at Just Eat Takeaway.com, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Head of Engineering - Data Platforms in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Just Eat Takeaway.com, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Just Eat Takeaway.com. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Just Eat Takeaway.com
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Just Eat Takeaway.com!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
