Marketing Data Engineer

arabic; Riyadh; On-site; SAR 300,000 - 420,000; Full time

Job summary

arabic is seeking a data engineer to own marketing data pipelines, from advertising and social platforms to web analytics and app-store data, normalising metrics across channels and maintaining attribution models. You will ensure data quality, manage API changes and credentials, and collaborate with marketing to define and reconcile metrics.

You will also produce a monthly progress report on the marketing data stream.

Qualifications

• 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 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, deduplication across platforms.
• Good to have: Google Ads and GA4 certifications.
• Good to have: Marketing-mix or incrementality modelling.
• Good to have: Arabic and regional ad platforms.

Responsibilities

• 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.

Skills

Python connectors

Pagination handling

Advertising APIs

GA4 data model

GA4 to BigQuery

SQL

Warehouse modelling

Attribution fundamentals

Deduplication across platforms

Arabic and regional ad platforms

Tools

Funnel.io

Supermetrics

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