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WPP

Data Engineer

WPP · Chennai, India

Posted about a month ago

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

Is this posting real?

This role has been open
43 days
WPP's roles stay open a median of 66 days
Reposted
No
Salary listed
No
0% of WPP's roles list one
Ghost-job risk at WPP
high
195 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
2026-10-08

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 2026-10-08. PitchMeAI is not the employer.

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