Data Engineer - Azure
About this job
WPP Media, the AI-driven media operating unit of WPP, is seeking a Data Engineer for its Global Operations Centre. WPP is a leading growth partner for global brands, uniting media, data, and partnerships through its agentic marketing platform, WPP Open. In this role, you will work collaboratively with multicultural teams across the United States, Europe, and Asia to deliver high-impact data solutions. A normal day involves designing and optimizing enterprise ETL/ELT pipelines using Azure Data Factory and Azure Data Lake Storage, writing complex SQL solutions for advanced analytics, developing automation frameworks in Python, and ensuring production pipeline reliability through proactive troubleshooting. You will also lead modernization initiatives, enforce coding standards, and collaborate closely with analytics and media teams to translate business challenges into scalable technical solutions.
Responsibilities
- Design, develop, and optimize enterprise ETL/ELT pipelines using Azure Data Factory, Azure Data Lake Storage, and serverless technologies.
- Implement efficient, complex SQL solutions including query optimization, partitioning, and indexing for analytics models.
- Lead the development of automation frameworks using Python and API orchestration to streamline the data lifecycle.
- Maintain full ownership of production pipeline reliability, performing root-cause analysis and resolving critical issues.
- Establish and enforce coding and architectural standards through code reviews and technical audits for the offshore team.
- Champion documentation, data lineage, and automated CI/CD deployment practices for governance across data assets.
- Provide expert-level support to analytics and media teams by translating business challenges into scalable technical solutions.
Requirements
- 3-5 years of progressive experience in data engineering.
- Expert-level mastery of Azure Data Factory, SQL, and cloud data platforms such as Azure or GCP.
- Proven expertise in designing, optimizing, and managing large-scale, production-grade data pipelines.
- Deep skills in SQL performance tuning, ADF orchestration, and CI/CD automation.
- Advanced knowledge of production operations, troubleshooting, and high-availability data processing at scale.
- Familiarity with end-to-end pipeline architecture, orchestration frameworks, and schema evolution.
Good to have
- Adverity, Dataflow, Big Query, Databricks, and DBT
- Terraform
- Wrike, Jira, or Azure DevOps
- DP-203 or GCP Data Engineer certifications
Who should apply
This role suits experienced data professionals with 3 to 5 years of progressive background in data engineering, cloud platforms, and pipeline optimization. It is ideal for candidates who possess deep expertise in Azure Data Factory, SQL performance tuning, and production operations, and who want to work in a collaborative, multicultural environment with global teams. Freshers are not eligible to apply as the position requires specific years of progressive experience.
Frequently asked questions
What is the job title for the WPP Media opening?
The job title is Data Engineer - Azure (also referred to as Data Engineer, GOC or Senior Data Engineer).
Where is the WPP Media Data Engineer role located?
The role is based out of Bangalore, India or Gurgaon, India.
How many years of experience are required for this WPP Media position?
Candidates are required to have 3 to 5 years of progressive experience in data engineering.
What core cloud technologies are needed for the WPP Media Data Engineer role?
The role requires expert-level mastery of Azure Data Factory, SQL, and cloud data platforms such as Azure or GCP.
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