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Job Details
Job Description- Data Engineer
Kantar is the world’s leading AI-native marketing data and analytics business and an indispensable brand partner to the world’s top companies. We combine the most meaningful attitudinal and behavioural data with deep expertise and advanced analytics to uncover how people think and act. We help clients understand what has happened and why and how to shape the marketing strategies that shape their future.
In recent years, the market research industry has faced increasing threats from online fraud, particularly in incentivised markets. Fraudsters attempt to exploit survey systems for financial gain, and their tactics are constantly evolving. At Kantar, we are committed to staying ahead of these threats by investing in advanced data science solutions and fraud detection technologies.
This is a high-impact role with the opportunity to collaborate directly with Operational, Commercial, and Data Science teams. You’ll be part of a talented team of analysts, scientists, engineers, and developers, working on mission-critical systems that support our global research operations.
What You’ll Do
You will own and evolve the security posture of our cloud-native data platform, with a particular focus on protecting data in containerised Python services running on AWS. Partnering closely with Data Engineering and Data Science, you’ll enable secure-by-default delivery of DevOps, DataOps, MLOps and AIOps workloads—building guardrails, automation and observability that scale. You’ll also help shape a medium-term path to support Azure, ensuring security controls, IaC patterns and CI/CD pipelines are portable across clouds.
Design and implement security controls for containerised Python applications across build, deploy and runtime (image hardening, least privile