Lead Data Engineer

We’re the world’s leading data, insights, and consulting company; we shape the brands of tomorrow by better understanding people everywhere.

Kantar’s Profiles division is home to the world’s largest audience network.

With access to 170m+ people in over 100 global markets, we offer unrivalled global reach with local relevancy. Validated by industry leading anti-fraud technology, Kantar’s Profiles Audience Network delivers the most meaningful data with consistency, accuracy, and accountability – all at speed and scale.

Job Details

Location: Reading or London, UK 

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 panels remain 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. 

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Country

United Kingdom

Why Join Kantar?

We shape the brands of tomorrow by better understanding people everywhere. By understanding people, we can understand what drives their decisions, actions, and aspirations on a global scale. And by amplifying our in-depth expertise of human understanding alongside ground-breaking technology, we can help brands find concrete insights that will help them succeed in our fast-paced, ever shifting world.

And because we know people, we like to make sure our own people are being looked after as well. Equality of opportunity for everyone is our highest priority and we support our colleagues to work in a way that supports their health and wellbeing. While we encourage teams to spend part of their working week in the office, we understand no one size fits all; our approach is flexible to ensure everybody feels included, accepted, and that we can win together. We’re dedicated to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, and we encourage applications from all backgrounds and sections of society. Even if you feel like you’re not an exact match, we’d love to receive your application and talk to you about this job or others at Kantar.