Senior Data Engineer, Marketing Analytics & AI Pipelines

WPP Enterprise Solutions

Cape Town

On-site

ZAR 900,000 - 1,500,000

Full time

5 days ago
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Job summary

WPP Enterprise Solutions seeks a Senior Data Engineer, Marketing & Analytics, to design, build and own data pipelines powering AI/ML, Amplitude, and product analytics for tier-one clients. You will shape data strategy, ensure high-quality data, and mentor junior engineers within a modern data stack (GCP, Snowflake, Matillion, Rudderstack).

This role emphasizes end-to-end ownership, cross‑functional collaboration, and governance aligned with GDPR/CCPA, enabling robust analytics and data-driven

Qualifications

  • Minimum 7 years engineering experience.
  • Client-facing and consulting skills.
  • Strong data governance and privacy knowledge (GDPR, CCPA).
  • Experience with Amplitude and Tableau/BI tools.

Responsibilities

  • Lead design and architecture of scalable data pipelines on GCP and Snowflake.
  • Own end-to-end data ingestion, transformation, and integration from multiple sources.
  • Define data models (star/snowflake, data vault), and optimize for analytics and AI/ML.
  • Mentor junior engineers and ensure coding best practices and CI/CD.
  • Collaborate with analytics scientists, product managers, and client teams to translate requirements into robust solutions.

Skills

GCP
Snowflake
Matillion
Rudderstack
Amplitude
SQL
Python
CI/CD
Airflow
Data Modeling

Tools

Google Cloud Platform (GCP)
BigQuery
Dataflow
Dataproc
Pub/Sub
Cloud Functions
Snowflake
Matillion
Rudderstack
Amplitude
Tableau
Airflow / Composer

Job description

WPP Enterprise Solutions seeks a Senior Data Engineer, Marketing & Analytics, to design, build and own data pipelines powering AI/ML, Amplitude, and product analytics for tier-one clients. You will shape data strategy, ensure high-quality data, and mentor junior engineers within a modern data stack (GCP, Snowflake, Matillion, Rudderstack).

This role emphasizes end-to-end ownership, cross‑functional collaboration, and governance aligned with GDPR/CCPA, enabling robust analytics and data-driven

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