About the role
EY is hiring a Data Engineer Consultant in Trieste to help design, build, and maintain enterprise data platforms that support Analytics, Artificial Intelligence, and Data Governance initiatives. You will work with multidisciplinary teams to ensure data availability, quality, reliability, and scalability across the full information lifecycle.
The role covers designing and developing ETL/ELT integration pipelines, ingesting data from internal and external systems, and implementing transformation, enrichment, and validation logic. You will build and maintain Data Lakes, Data Warehouses, and Lakehouse platforms, optimise performance and resilience, and set up monitoring, logging, and alerting. Collaboration with Data Analysts, Data Scientists, and business stakeholders is central, alongside support for Data Governance, Metadata Management, and Data Security.
Highlights
- Design and develop ETL/ELT pipelines and data acquisition processes.
- Build and maintain Data Lake, Data Warehouse, and Lakehouse platforms.
- Work with SQL, cloud data services (Azure, AWS, or Google Cloud), and DataOps practices.
- Support Data Governance, metadata management, and data security initiatives.
This recap is dataskew's editorial summary, not the company's copy.