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Job description
As a Senior Data Engineer, you will play a pivotal role in shaping our data ecosystem and driving actionable insights. You will develop and maintain data pipelines, design and optimize scalable databases, and collaborate with cross-functional teams to deploy machine learning models into production.
Develop and maintain data pipelines, design and optimize scalable databases, collaborate with data scientists to deploy machine learning models, create and enhance RESTful APIs, and foster collaboration with cross-functional teams.
Ideal candidate has strong programming skills in Python, advanced knowledge of SQL databases, hands-on experience with AWS or Azure, practical experience in deploying and monitoring machine learning models, and skills in infrastructure as code.
Company
Corporate Services • Tech, Software & IT Services
Kantar Operations powers Kantar’s brands and their clients with a global, integrated service model that leverages innovation, automation, and deep operational expertise. With more than 6,000 professionals in 69 countries, the organization combines local market teams that bring in‑market consumer insight, regional Delivery Centres that provide specialized research functions, and a dedicated group of technical and commercial specialists managing global accounts, survey platforms, online tools, sampling, and procurement. This coordinated approach delivers end‑to‑end market research capabilities, ensuring clients receive reliable, efficient, and insight‑driven solutions.
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