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WPP

Data Engineer

WPP · Chennai, India

Posted 22 days ago

or apply directly on WPP's site. We never take the application ourselves.

Is this posting real?

This role has been open
22 days
WPP's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of WPP's roles list one
Ghost-job risk at WPP
low
0 stale, 4 reposted of 220 open
Hiring momentum
318 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from WPP's own greenhouse board since 2026-08-03. Full hiring picture for WPP.

About this role

As a Data Engineer at WPP, you will design and implement scalable data solutions, focusing on large-scale data ingestion, processing, storage, and analytics using Databricks on Azure. Your daily tasks will include building and maintaining data pipelines, ensuring data governance, and collaborating with cross-functional teams to deliver data migrations and warehousing solutions. You will work within a team of passionate data engineers committed to continuous learning and innovation.

Our read on this posting2.8out of 5
benefits
2/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of WPP as an employer.

What you need

  • 3+ years of experience designing and building scalable distributed data pipelines and dimensional data models
  • 3+ years of experience in Python and SQL
  • Experience using Databricks platform and PySpark
  • Extensive experience of Microsoft Azure data services – Data Factory, ADLS gen2, Event Hubs, Azure SQL, Azure Key Vault
  • Demonstrable understanding of Continuous Integration, Continuous Delivery (CI/CD) and Agile practices, unit & integration tests and development practices using Azure DevOps
  • Fluency in English

Nice to have

  • Experience with Kafka
  • Experience with Delta Lake
  • Experience with Pandas
  • Exposure to AI & ML technologies

What you get

  • Opportunity to create, influence and complete projects at a large scale
  • Challenging and stimulating work
  • Culture that fosters creativity, collaboration, and connection

Worth weighing

  • No salary listed
  • Hybrid work approach with in-office requirement four days a week
  • Focus on collaboration and continuous learning may require adaptability

Summarised from WPP's posting. Read the full original.

Listed by WPP on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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