At a Glance
- Tasks: Design and build data pipelines for innovative Digital Twins projects.
- Company: Join a leading tech company undergoing a massive transformation.
- Benefits: Enjoy flexible working, competitive salary, and generous leave policies.
- Other info: Be part of a small, agile team with great growth opportunities.
- Why this job: Shape the future of AI-driven products in a dynamic start-up environment.
- Qualifications: Experience in data engineering, Python, SQL, and cloud platforms.
The predicted salary is between 60000 - 75000 £ per year.
Location: Reading, King’s Road
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.
Senior Data Engineer - Digital Twins employer: Kantar Group
At Kantar, we pride ourselves on being an excellent employer, especially for the Senior Data Engineer role in Reading. Our dynamic work culture fosters innovation and collaboration within a small, agile team, allowing you to make a significant impact on our cutting-edge Digital Twins platform. With flexible hybrid working, generous leave policies, and a commitment to employee growth, we offer a rewarding environment where your contributions are valued and your career can flourish.
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We think this is how you could land Senior Data Engineer - Digital Twins
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We think you need these skills to ace Senior Data Engineer - Digital Twins
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kantar Group. 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 Kantar Group
✨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!
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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
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✨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.
