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WPP Media

AI-native global media services network

Mid-Level Data Engineer

Data EngineeringPosted on Nov 5
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listed

About the Job

Requirements

  • Proven prior experience in a mid-level Data Engineering role.
  • Practical, solid experience with ETL, ELT, and their variations.
  • Practical, solid command of SQL for data processing, as well as knowledge of Python.
  • Knowledge and experience in a cloud environment, especially Google Cloud, BigQuery, and Dataform.
  • Completed or ongoing studies in Computer Engineering, Computer Science, Systems Analysis and Development, or technical courses focused on development.

Responsibilities

  • Onboard new accounts, including validating access and creating accounts.
  • Review available data and perform daily information extraction.
  • Configure business rules and process and validate data.
  • Deliver validated databases to the analysis team.
  • Handle recurring requests through the internal ticketing tool by correcting information or supplementing data.
  • Create, maintain, and support routines using Google Cloud, with emphasis on BigQuery and Dataform.

Desired Qualifications

  • English.

About the Company

WPP Media

AI-native global media services network

WPP Media is a global media services arm that manages more than $60 billion in annual advertising investments for leading brands. It operates across a network of established agencies (Mindshare, Wavemaker, EssenceMediacom) and combines media planning, data, production, and commerce through its proprietary WPP Open platform. Its Open Intelligence data model uses real-time behavioral signals to drive predictive, faster, and smarter marketing campaigns. The company positions itself as an AI-native media collective, consolidating capabilities under a single technology stack to improve efficiency and scale for advertisers. Its goal is to help clients buy and optimize media more effectively by leveraging integrated data, advanced analytics, and automated execution at scale.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
New York City, New York
Founded
2003

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