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