Azure Data Engineer: Data Science Bridge & Big Data

NTT DATA Europe & Latam seeks an Azure Data Engineer to bridge Data Science and Data Engineering in a cloud-native environment, delivering scalable data pipelines across Azure, Spark, and Databricks. You will partner with analysts and architects to acquire, transform, cleanse, and load data into data lakes for analytics and ML, contributing to continuous improvement in a multinational setting.

The role resides in the Business Intelligence Service Line and offers collaboration across offices in

Deliver data acquisition, transformation, cleansing, and loading into data lakes for analytics and ML. Collaborate with data scientists and solution architects to understand use cases and outcomes. Build proofs-of-concept to address business needs using appropriate data sources and technologies. Monitor and optimize data pipelines using Azure tools and open-source technologies. 5+ years of experience in cloud data engineering in public clouds (Azure preferred). Strong SQL and data modeling skills. Experience delivering end-to-end data pipelines for analytics/ML. Proven ability to lead medium-sized teams and collaborate with architects.