Marketing Data Engineer

Role Overview

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.

Why It Might Be a Fit

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.

Requirements

• 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