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Open nowPosted 7 hours ago

Marketing Data Engineer

Arabic.AI

Where
Riyadh, Riyadh Province, Saudi Arabia
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Your applicationOpen nowMarketing Data EngineerArabic.AI · Riyadh, Riyadh Province, Saudi Arabia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Arabic.AI's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 7 hours ago

The posting

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
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  1. A CV for this posting

    Written against Arabic.AI's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Arabic.AI's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Arabic.AI's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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