WPP is building a standardized, scalable, cloud-agnostic data platform to unify its global fragmented data landscape
Job Summary
WPP is building a standardized, scalable, cloud-agnostic data platform to unify its global fragmented data landscape.
The Data Operations Engineer will serve as the bridge between development and production, ensuring reliable and secure data pipelines.
This role involves implementing automated CI/CD pipelines, enforcing data quality standards, and managing production deployments using Databricks and GitHub Actions.
Matching Summary
WPP is building a standardized, scalable, cloud-agnostic data platform to unify its global fragmented data landscape.
Skills & Requirements
Must-have
Databricks Jobs and Workflows
GitHub Actions CI/CD implementation
Python scripting and automation
SQL transformation frameworks
Production incident management
Nice-to-have
Experience with dlthub
Databricks Asset Bundles knowledge
Unity Catalog integration skills
Confluence documentation expertise
Infrastructure as Code principles
Key Requirements
5+ years of hands-on experience in data operations or engineering
Proficiency with Databricks CLI and SQL Warehouses
Strong working knowledge of dbt or similar SQL transformation tools