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Senior Data Engineer - Digital Twins
Location: Reading, King’s Road
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Reading, King’s Road; London, South Bank Central
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Posted: More than 30 days ago
Job Type: Regular
Ref: R100333
Three Indian colleagues are working together. From left to right. A man with a short brown beard is smiling across at two female colleagues. He is wearing a white shirt. In the middle, a female colleague is working at a silver laptop and has dark hair to just past her shoulders. She is wearing a blue shirt. Finally there is a second woman making notes in her notebook. She is wearing a white patterned scarf and blue and red patterned elbow length top. Her hair is in a braid.

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.

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