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- Tasks: Design and build data pipelines for innovative Digital Twins platform.
- Company: Join a $4bn tech leader transforming the industry with cutting-edge solutions.
- Benefits: Enjoy flexible hybrid working, competitive salary, and generous leave policies.
- Other info: Be part of a small, agile team with a focus on learning and growth.
- Why this job: Shape the future of consumer behaviour simulation in a dynamic start-up environment.
- Qualifications: Experience in data engineering, Python, SQL, and cloud platforms like Azure.
The predicted salary is between 60000 - 75000 £ per year.
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.
Responsibilities
- 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
Qualifications
- 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
Benefits
- 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
Location
Reading, King’s Road, United Kingdom
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.
Senior Data Engineer - Digital Twins in Reading employer: Kantar
Contact Detail:
Kantar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Digital Twins in Reading
✨Tip Number 1
Network like a pro! Reach out to current employees at Kantar or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨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 can really set you apart.
✨Tip Number 3
Prepare for those technical questions! Brush up on your problem-solving skills and be ready to discuss how you’ve tackled challenges in the past. Think about specific examples that showcase your expertise in data engineering.
✨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 the team at Kantar.
We think you need these skills to ace Senior Data Engineer - Digital Twins in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your experience with data pipelines, cloud platforms like Azure, and any relevant projects that showcase your problem-solving abilities.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about the Digital Twins project. Share specific examples of how you've collaborated in small teams and how your engineering choices have made an impact in previous roles.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python, SQL, and any modern data engineering tools you’ve used. We want to see how you’ve applied these skills in real-world scenarios, so be specific!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our agile team.
How to prepare for a job interview at Kantar
✨Know Your Data Engineering Stuff
Make sure you brush up on your knowledge of data pipelines, ETL processes, and cloud platforms like Azure. Be ready to discuss your past experiences 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 tech but can also apply it effectively.
✨Show Off Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Think about times when you had to design a robust data solution or optimise a process. This will demonstrate your strong problem-solving skills and 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, highlight your experience in collaborative environments. Share stories that showcase your ability to communicate clearly and work effectively in small, agile teams. This will help them see you as a team player who can contribute to their start-up-style culture.
✨Be Ready to Experiment
Given the experimental nature of the Digital Twins platform, come prepared to discuss how you've run experiments or tested ideas in the past. Talk about how you learn from setbacks and iterate on your work. This mindset is key for thriving in a fast-paced environment like theirs.