Marketing Data Engineer

About the Role
You will own the digital marketing data, focusing on the pipelines that bring together advertising, social, web analytics, email, and app-store data into the warehouse. You will also develop models that allow stakeholders to analyze how campaign spending translates into visitors and bookings.

What You Will Do

• Build and run connectors to advertising and social platforms, web analytics, email-marketing tools, and app stores, both current and future.
• Normalize campaign, spend, impression, click, and conversion data across platforms for effective comparison.
• Maintain the attribution and UTM models as well as the marketing data marts that support dashboards and ROI analysis.
• Ensure the connectors remain functional amidst API changes, rate limits, and credential rotations.
• Collaborate with marketing stakeholders to define metrics and ensure alignment with platform reports.
• Write the monthly progress report for the marketing data stream.

What You Need

• Proficiency in Python connectors, including pagination, rate limiting, retries, and incremental loads.
• Hands-on experience with at least two advertising or social APIs (e.g., Meta, Google Ads, Snapchat, TikTok, X).
• Familiarity with the GA4 data model and the GA4 export to BigQuery.
• Experience with email marketing platforms and app-store download data as sources.
• Knowledge of marketing-data connectors such as Funnel.io or Supermetrics.
• Proficient in SQL and warehouse modeling for campaign and conversion data.
• Understanding of attribution and UTM fundamentals, including multi-touch models, campaign taxonomies, and deduplication across platforms.

Good to Have

• Google Ads and GA4 certifications.
• Experience with marketing-mix or incrementality modeling.
• Familiarity with Arabic and regional ad platforms.