Mid-Level Data Engineer - Remote

Overview

The Mid-Level Data Engineer will be essential in architecting, maintaining, and optimizing data pipelines, ensuring that data for analysis is clean and structured.

In Short

• Build and maintain data pipelines from advertising platforms.
• Support the design and development of scalable data infrastructure.
• Maintain and improve data schemas and models for reporting.
• Collaborate with Growth and Creative teams to meet business needs.
• Automate client reporting and performance analytics.
• Uphold data integrity and documentation standards.
• Identify inefficiencies in the data ecosystem and suggest improvements.
• Embed AI tools into workflows to optimize performance.

Requirements

• Experience in data engineering and pipeline development.
• Proficiency with AWS, Supabase, and Firebase.
• Strong analytical skills with a focus on performance data.
• Ability to collaborate across teams effectively.
• Understanding of data integrity and documentation practices.

Benefits

• Opportunity to work in a fast-growing agency.
• Be part of a world-class data team.
• Contribute to innovative data management solutions.
• Flexible working environment.