WPP Media

Data Engineer II

PythonJavaSQLGCP
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About WPP Media

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalization at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

For more information, visit wppmedia.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring together the best platforms, people, and partners to create unlimited growth opportunities. For more information, visit wppmedia.com.

At WPP Media, we believe in the power of our culture and our people. That’s what elevates us to deliver exceptional experiences for both our clients and each other.

Responsibilities and Duties

What your day-to-day will look like

  1. Develop and maintain scalable and efficient data pipelines, ensuring the reliability and performance of ETL/ELT processes;
  1. Implement solutions on Google Cloud (GCP) with a focus on BigQuery, integrating data from internal and external sources for advanced analytics;
  1. Automate data collection and transformation processes, implementing monitoring and anomaly detection solutions (such as Healthcheck);
  1. Collaborate with data analysts, data scientists, and other engineers to develop data solutions that meet client needs in digital measurement and performance projects;
  1. Actively participate in documenting processes and data governance best practices, ensuring compliance with agency and client standards.

Requirements and Qualifications

The profile we are looking for

  1. Completed or in-progress Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related fields;
  1. Experience in data engineering projects, with solid experience in cloud environments (especially Google Cloud and BigQuery);
  1. Experience in data process automation, monitoring, and anomaly detection;
  1. Proficiency in SQL and programming languages such as Python or Java for data manipulation and processing;
  1. Knowledge in GA4;
  1. Certifications in GCP are a plus.

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