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