Marketing Data Engineer
Role Overview
Own digital-marketing data pipelines and warehouse models that help clients assess whether campaign spend leads to visitors and bookings.
Key Skills for This Role
Full Job Posting
Role overview
Own digital-marketing data pipelines and warehouse models that help clients assess whether campaign spend leads to visitors and bookings.
What you will do
- Build and operate connectors for advertising and social platforms, web analytics, email-marketing tools, and app stores.
- Normalize campaign, spend, impression, click, and conversion data across platforms for comparison.
- Maintain attribution and UTM models and marketing data marts for dashboards and ROI analysis.
- Keep connectors healthy through API changes, rate limits, and credential rotations.
- Define metrics with marketing stakeholders and reconcile them with platform reports.
- Write the monthly progress report for the marketing data stream.
What you need
- Build Python connectors with pagination, rate limiting, retries, and incremental loads.
- Hands-on experience with at least two advertising or social APIs, including options such as Meta, Google Ads, Snapchat, TikTok, or X.
- Know the GA4 data model and GA4 export to BigQuery.
- Use email-marketing platforms and app-store download data as sources.
- Experience with a marketing-data connector such as Funnel.io or Supermetrics.
- SQL and warehouse modeling for campaign and conversion data.
- Attribution and UTM fundamentals, including multi-touch models, campaign taxonomies, and cross-platform deduplication.
Good to have
- Google Ads and GA4 certifications are advantageous.
- Marketing-mix or incrementality modeling is advantageous.
- Arabic and regional advertising-platform experience is advantageous.
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