Marketing Data Engineer

Arabic.AI; Riyadh; On-site; SAR 180,000 - 300,000; Full time

Job summary

Arabic.AI is seeking a Marketing Data Engineer to own the digital-marketing data pipelines, ingesting advertising, social, web analytics, email, and app-store data into the warehouse. You will model campaigns and measure whether spend converts to visitors and bookings.

You will build connectors, normalize data across platforms, maintain attribution and UTM models, keep APIs healthy, and work with marketing to define metrics and report monthly progress.

Qualifications

• Experience building data pipelines for marketing data.
• Proficiency with GA4 and BigQuery.
• Experience with attribution modelling.

Responsibilities

• Own digital-marketing data pipelines from ingestion to warehousing.
• Normalize campaign, spend, impressions, clicks, and conversions across platforms.
• Maintain attribution and UTM models and dashboards.
• Keep APIs healthy with changes, rate limits and credential rotations.
• Collaborate with marketing to define metrics and reconcile platform reports.
• Write the monthly progress report for the marketing data stream.

Skills

Python connectors

Advertising APIs

GA4 data model

SQL warehouse modeling

Attribution fundamentals

Tools

Funnel.io

Supermetrics

BigQuery

Job description

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