Data Engineer

Data Engineer in the WPP Enterprise Data Group responsible for designing and implementing scalable data solutions across projects, focusing on large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks. Responsibilities include estimating, designing, coding, testing, deploying, and ensuring scalability and performance on Azure with Databricks; building ELT data pipelines, data governance-aware platforms, automation, data migrations, and data warehousing workstreams; supporting cross-functional teams. Key tools/skills include Python, SQL, Databricks, PySpark, Azure data services (Data Factory, ADLS Gen2, Event Hubs, Azure SQL, Azure Key Vault), Kafka, Delta Lake, Pandas, CI/CD, Agile practices, and Azure DevOps; English fluency and a collaborative, inclusive mindset. The organization offers a hybrid work setup with roughly four days in the office per week and emphasizes equal opportunity employment.