Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build data pipelines for innovative Digital Twins projects.
- Company: Join Kantar, a leading data and insights company transforming technology.
- Benefits: Enjoy flexible working, competitive salary, and generous leave policies.
- Other info: Opportunity for growth in a supportive and diverse environment.
- Why this job: Be part of a small, agile team shaping the future of consumer behaviour.
- Qualifications: Experience in data engineering, Python, SQL, and cloud platforms.
The predicted salary is between 60000 - 80000 ÂŁ per year.
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in.
Why this job is important:
We’re currently undergoing the largest technology transformation our $4bn business has ever seen. As a cloud‑native organisation (Azure), we’re modernising and integrating our platforms to respond faster, smarter and at greater scale. A critical part of this transformation is Digital Twins — a bold, experimental platform that simulates consumer behaviour at scale, enabling Kantar's products to test scenarios and predict outcomes before they happen.
As a Senior Data Engineer, you’ll join a very small, agile, start‑up‑style team building it from the ground up. You’ll move fast, test ideas quickly, learn from setbacks and iterate. It’s a demanding challenge, led by industry experts, where your thinking and engineering choices will directly shape the outcome.
What you’ll be doing:
- Designing and building robust data pipelines, platforms and databases that support AI‑driven products
- Collaborating closely with engineers, data scientists and product partners to shape how Digital Twins is built
- Running experiments, testing ideas and building working demos as the product evolves
- Improving and optimising data processes, tooling and cloud‑based architectures
- Creating monitoring and visualisations to track system health, performance and progress
The skills & experience you’ll bring:
- Strong problem‑solving skills with a good understanding of business needs
- Experience building and maintaining data pipelines and data‑driven applications
- Confidence working with Python, SQL and modern data engineering tools
- A solid understanding of databases, ETL processes and data architectures
- Experience working with cloud platforms (Azure preferred; AWS or GCP also welcome)
- Enjoyment of working in small, fast‑moving teams with a high level of ownership
- Clear communication skills and a desire to keep learning and growing
What’s in it for you:
- Flexible hybrid working
- 25 days leave, 2 days paid for volunteering and life event leave
- Competitive salary and bonus (bonus dependent on role)
- Company pension
- Enhanced parental leave
- Healthcare options
- Wide range of flexible benefits
We are not able to offer visa sponsorship or assist with relocation support for this role. Please ensure you have the right to work in the country where this role is located before applying.
Location: Reading, King’s Road, United Kingdom
Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.
Senior Data Engineer - Digital Twins in London employer: Kantar
Contact Detail:
Kantar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Digital Twins in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Kantar on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repositories, make sure to highlight them during interviews. Demonstrating your experience with Python, SQL, and data pipelines will set you apart from the crowd.
✨Tip Number 3
Prepare for technical challenges! Brush up on your problem-solving skills and be ready to tackle real-world scenarios during the interview. Practice coding problems and think through how you’d design data pipelines in a cloud environment.
✨Tip Number 4
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 genuinely interested in joining our innovative team at Kantar.
We think you need these skills to ace Senior Data Engineer - Digital Twins in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for data engineering and Digital Twins shine through. We love seeing candidates who are genuinely excited about the role and the impact they can make!
Tailor Your CV: Make sure to customise your CV to highlight relevant experience that aligns with the job description. We want to see how your skills in Python, SQL, and cloud platforms like Azure can contribute to our team.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Senior Data Engineer role.
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 ensure you’re considered for this exciting opportunity.
How to prepare for a job interview at Kantar
✨Know Your Data Engineering Basics
Make sure you brush up on your knowledge of data pipelines, ETL processes, and cloud platforms like Azure. Be ready to discuss your experience with Python and SQL, as well as any modern data engineering tools you've used. This will show that you're not just familiar with the concepts but can also apply them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Think about challenges you've faced while building data-driven applications or optimising data processes. This will demonstrate your strong problem-solving skills and your understanding of business needs, which are crucial for this role.
✨Emphasise Collaboration
Since you'll be working closely with engineers, data scientists, and product partners, it's important to highlight your teamwork experience. Share stories that illustrate your ability to collaborate effectively in small, agile teams. This will show that you can thrive in a fast-paced environment and contribute positively to the team dynamic.
✨Ask Insightful Questions
Prepare thoughtful questions about the Digital Twins platform and the company's technology transformation. This shows your genuine interest in the role and helps you understand how you can contribute. Asking about the team's current challenges or future goals can also give you valuable insights into what to expect if you join the company.