or apply directly on WPP's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 64 days WPP's roles stay open a median of 87 days
- Reposted
- No
- Salary listed
- No 0% of WPP's roles list one
- Ghost-job risk at WPP
- high 220 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
- 2026-10-29
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.
- 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 2026-10-29. PitchMeAI is not the employer.
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