Marketing Data Engineer

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