At a Glance
- Tasks: Design and build data pipelines for innovative Digital Twins projects.
- Company: Join Kantar, a leader in tech transformation and inclusivity.
- Benefits: Enjoy flexible working, generous leave, competitive salary, and healthcare options.
- Other info: Be part of a diverse community focused on mental health and well-being.
- Why this job: Shape the future of consumer behaviour analysis with cutting-edge technology.
- Qualifications: Experience in data engineering and a passion for learning in agile teams.
The predicted salary is between 60000 - 75000 £ per year.
This job is with Kantar, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
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
- 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
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.
Senior Data Engineer - Digital Twins employer: myGwork - LGBTQ+ Business Community
Contact Detail:
myGwork - LGBTQ+ Business Community Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Digital Twins
✨Tip Number 1
Network like a pro! Reach out to current employees at Kantar on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that showcases your data engineering prowess, especially around cloud-native solutions. This will help you stand out during interviews.
✨Tip Number 3
Be ready to discuss your thought process! When you're in an interview, don’t just talk about what you've done; explain how you approached problems and what you learned from them. It’s all about that growth mindset!
✨Tip Number 4
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 being part of the Kantar team.
We think you need these skills to ace Senior Data Engineer - Digital Twins
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, cloud platforms like Azure, and any relevant projects that showcase your skills in building robust systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the Digital Twins project and how your background aligns with Kantar's mission. Keep it engaging and personal.
Showcase Your Team Spirit: Since this role involves working in a small, agile team, emphasise your collaborative experiences. Share examples of how you've worked closely with engineers and data scientists to achieve common goals.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your Data Inside Out
As a Senior Data Engineer, you'll be expected to have a solid grasp of data pipelines and cloud architectures. Brush up on your knowledge of Azure, AWS, and GCP, and be ready to discuss how you've designed and optimised data processes in the past.
✨Showcase Your Collaboration Skills
This role involves working closely with engineers, data scientists, and product partners. Prepare examples of how you've successfully collaborated in small teams, highlighting your communication skills and ability to adapt to fast-paced environments.
✨Be Ready to Experiment
Kantar is looking for someone who enjoys testing ideas and running experiments. Think of specific instances where you've built prototypes or demos, and be prepared to discuss what you learned from those experiences and how they shaped your approach.
✨Emphasise Continuous Learning
The tech landscape is always evolving, and so should you! Share your passion for learning new tools and technologies, and mention any recent courses or projects that demonstrate your commitment to personal and professional growth.