At a Glance
- Tasks: Design and build data pipelines for innovative Digital Twins projects.
- Company: Join a leading tech company transforming the future with cutting-edge technology.
- Benefits: Enjoy flexible hybrid working, competitive salary, and generous leave policies.
- Other info: Be part of a diverse team that values inclusion and personal growth.
- Why this job: Shape the future of consumer behaviour analysis in a dynamic, start-up environment.
- Qualifications: Experience in data engineering, Python, SQL, and cloud platforms like Azure.
The predicted salary is between 60000 - 80000 £ per year.
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in.
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 Digital Twins 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
- 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
- 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 want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well‑being is taken into consideration. We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.
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 Group Limited
At Kantar, we pride ourselves on being an innovative employer that fosters a dynamic and inclusive work culture. As a Senior Data Engineer in Reading, you'll be part of a pioneering team driving the transformation of our digital landscape, with ample opportunities for professional growth and collaboration. Enjoy flexible hybrid working, generous leave policies, and a supportive environment that prioritises your well-being and development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Digital Twins in Reading
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We think you need these skills to ace Senior Data Engineer - Digital Twins in Reading
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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Craft a Tailored Cover Letter:For a full-time role at Kantar Group Limited, 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 Kantar Group Limited. 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 Limited
✨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
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 Kantar Group Limited!
✨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.
