About the role
EY is hiring a Data Engineer in Milan to design, build, and govern reliable, scalable, and secure data pipelines and platforms. The role is the technical reference point for the Data Engineering team and works closely with Data Architects, Data Scientists, AI Engineers, and business stakeholders. Responsibilities cover end-to-end batch and real-time pipelines, data lake, warehouse, and lakehouse architectures in cloud and hybrid environments, integration of heterogeneous sources through APIs, messaging systems, databases, and enterprise applications, plus standards for data modeling, quality, cataloging, lineage, and observability.
The position also involves DataOps, CI/CD, Infrastructure as Code, automation, code review, best practices, and mentoring. EY asks for at least 4 years in Data Engineering, including 3 in senior or.
Highlights
- Advertised salary range of 35.000 to 45.000 euro, regulated by CCNL Commercio, with an objectives-based bonus.
- Hybrid work without centrally fixed office days, plus up to 20 days of smart working from abroad.
- Technical leadership scope including code review, best practices, and mentoring.
- Work with Databricks, Snowflake, BigQuery, Redshift, or Microsoft Fabric across cloud and hybrid data platforms.
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