WPP is building a standardized, scalable, cloud-agnostic data platform using Databricks, dbt, and Python to unify global data landscapes
Job Summary
WPP is building a standardized, scalable, cloud-agnostic data platform using Databricks, dbt, and Python to unify global data landscapes.
The Data Operations Engineer will serve as the bridge between development and production, ensuring reliable and secure data pipeline delivery across global markets.
This role involves implementing automated CI/CD pipelines, enforcing data quality standards, and managing production deployments using GitHub Actions and Databricks.
Matching Summary
WPP is building a standardized, scalable, cloud-agnostic data platform using Databricks, dbt, and Python to unify global data landscapes.
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 experience
Confluence documentation skills
Key Requirements
5+ years of hands-on experience in data operations or platform engineering
Proficiency with Databricks CLI and SQL Warehouses
Strong background in Git workflows and Infrastructure as Code