You will own the digital-marketing data: the pipelines that bring advertising, social, web-analytics, email and app-store data into the warehouse, and the models that let the client see whether campaign spend turns 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, current and future.
Normalise campaign, spend, impression, click and conversion data across platforms so it can be compared.
Maintain the attribution and UTM models and the marketing data marts that feed the dashboards and ROI analysis.
Keep the connectors healthy through API changes, rate limits and credential rotations.
Work with the marketing stakeholders to define the metrics and reconcile them with platform reports.
Write the monthly progress report for the marketing data stream.
What you need
Python connectors with pagination, rate limiting, retries and incremental loads
Hands-on experience with at least two advertising or social APIs (Meta, Google Ads, Snapchat, TikTok, X)
GA4 data model and the GA4 export to BigQuery
Email-marketing platforms and app-store download data as sources
A marketing-data connector such as Funnel.io or Supermetrics
SQL and warehouse modelling for campaign and conversion data
Attribution and UTM fundamentals: multi-touch models, campaign taxonomies, deduplication across platforms
Good to have
Google Ads and GA4 certifications
Marketing-mix or incrementality modelling
Arabic and regional ad platforms

Marketing Data Engineer

Job description