Please note: You must have the right to work in the UK. We are unable to offer visa sponsorship for this role.
At Kantar, we help the world’s leading brands make better decisions through data. We’re now looking for an experienced Lead Data Engineer to join our team and help us elevate the quality and integrity of our global consumer panels.
These panels—more than 50 worldwide—are the foundation of our data-driven insights. Your mission? To build and evolve the data ecosystem, pipelines and data feed applications that ensure our panelsremain robust, fraud-resistant, and ready to power world-class analytics.
What You’ll Be Working On
Designing and maintaining scalable, low-latency data pipelines that fuel our Data Science and AI models.
Integrating data from diverse sources (databases, APIs, external sets) into a unified ecosystem.
Collaborating with Data Scientists, Analysts, and Engineers to refine panellist quality and detect fraud.
Innovating on our cloud infrastructure (AWS and Azure) to support new datasets and smarter decisioning.
Automating manual processes and optimising data delivery for speed and reliability.
Leading, managing and mentoring data engineers and junior engineers and contributing to a culture of technical excellence.
What You’ll Bring
5+ years of experience in Data Engineering, with strong skills in data warehousing, BI, and big data.
Team leadership and technical leadership
Proficiency in Python and/or R, SQL, and CI/CD tools.
Experience with AWS (preferred) or Azure, and tools like DBT and PowerBI.
A problem-solving mindset with a passion for agile, iterative development.
Ability to translate business needs into technical solutions and communicate clearly with stakeholders.
Our Tech Stack
AWS (current environment)
Azure (future direction)
Redshift, Postgres, DBT, PowerBI
This is a high-impact role with visibility across our Operational, Engineering, and Data Science teams. If you’re ready to shape the future of data at Kantar, we’d love to hear from you.
Apply now and be part of a team that’s redefining how data drives decisions.
