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Lead Data Engineer

World's leading data, insights, and consulting company that shapes brands by understanding people globally.
Data
Staff Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
Enterprise SaaS · Data

Description For Lead Data Engineer

Kantar, the world's leading data and insights company, is seeking a Lead Data Engineer to join their team in London. This role focuses on creating and maintaining feed applications for consumer panels across 100+ global markets. The position involves working with cutting-edge technologies in AWS and Azure environments, combating sophisticated online fraud through data-driven solutions, and collaborating with Data Science teams to improve existing models.

The ideal candidate will lead efforts in developing robust data pipelines, ensuring data quality, and implementing fraud detection systems. With access to 170m+ people globally, this role offers an opportunity to impact how Kantar delivers meaningful data with consistency, accuracy, and accountability at scale.

Working in a hybrid environment, you'll join a team of expert Data Analysts, Scientists, and Engineers, using technologies like AWS, Redshift, Postgres, DBT, and PowerBI. The role offers significant potential to make a real difference in protecting against fraud attacks while ensuring the delivery of high-quality data to support business decisions.

This position is perfect for an experienced data engineer who wants to work at the intersection of big data, fraud prevention, and global market research, while having the opportunity to mentor others and shape the future of data infrastructure at a leading global company.

Last updated 2 days ago

Responsibilities For Lead Data Engineer

  • Create and maintain feed applications for consumer panels
  • Design and develop data pipelines for extraction, transformation, and loading
  • Integrate data from multiple sources into unified ecosystem
  • Maintain documentation of data pipelines and processes
  • Set up monitoring systems and alerts
  • Provide guidance and mentorship to data engineers
  • Communicate with non-technical stakeholders
  • Work with Data Science team on dashboards and reports
  • Review and optimize existing processes
  • Collaborate with data scientists and analysts

Requirements For Lead Data Engineer

Python
PostgreSQL
  • 5+ years of experience in a Data Engineering role
  • Experience in data warehousing, Business Intelligence and big data
  • Experience working with AWS
  • Experience in developing and maintaining ELT/ETL data pipelines
  • Strong knowledge of Python and/or R
  • Strong knowledge of SQL
  • Proficient with different data modelling techniques
  • Proficient with CI/CD principles and tools
  • Experience with Business Intelligence tools like PowerBI
  • Experience with DBT (Database Build Tool) desirable
  • Strong problem-solving skills
  • Familiarity with Agile methodologies
  • Right to work in the UK

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